EquipmentShare is Hiring a Senior Data Engineer.

Your role in our team

At EquipmentShare, we believe it’s more than just a job. We invest in our people and encourage you to choose the best path for your career. It’s truly about you, your future, and where you want to go.

We are looking for a Senior Data Engineer to help us continue to build the next evolution of our data platform in a scalable, performant, and customer-centric architecture.

Our main tech stack includes Snowflake, Apache Airflow, AWS cloud infrastructure (e.g., Kinesis, Kubernetes/EKS, Lambda, Aurora RDS PostgreSQL), Python and Typescript.

What you'll be doing

We are typically organized into agile cross-functional teams composed of Engineering, Product, and Design, which allows us to develop deep expertise and rapidly deliver high-value features and functionality to our next-generation T3 Platform.

You’ll be part of a close-knit team of data engineers developing and maintaining a data platform built with automation and self-service in mind to support analytics and machine learning data products for the next generation of our T3 Fleet that enableend-users to track, monitor and manage the health of their connected vehicles and deployed assets. 

We'll be there to support you as you become familiar with our teams, product domains, tech stack and processes — generally how we all work together.

Primary responsibilities for a Senior Data Engineer

• Collaborate with Product Managers, Designers, Engineers, Data Scientists and Data Analysts to take ideas from concept to production at scale.
• Design, build and maintain our data platform to enable automation and self-service for data scientists, machine learning engineers and analysts.
• Design, build and maintain data product framework to support EquipmentShare application data science and analytics features.
• Design, build and maintain CI/CD pipelines and automated data and machine learning deployment processes.
• Develop data monitoring and alerting capabilities.
• Document architecture, processes and procedures for knowledge sharing and cross-team collaboration.
• Mentor peers to help them build their skills.

Why We’re a Better Place to Work

We can promise that every day will be a little different with new ideas, challenges and rewards.

We’ve been growing as a team and we are not finished just yet— there is plenty of opportunity to shape how we deliver together.

Our missionis to enable the construction industry with tools that unlock substantial increases to productivity. Together with our team and customers, we are building the future of construction.

T3is the only cloud-based operating system that brings together construction workflows & data from constantly moving elements in one place.

• Competitive base salary and market leading equity package.
• Unlimited PTO.
• Remote first.
• True work/life balance.
• Medical, Dental, Vision and Life Insurance coverage.
• 401(k) + match.
• Opportunities for career and professional development with conferences, events, seminars and continued education.
• On-site fitness center at the Home Office in Columbia, Missouri, complete with weightlifting machines, cardio equipment, group fitness space, racquetball courts, a climbing wall, and much more!
• Volunteering and local charity support that help you nurture and grow the communities you call home through our Giving Back initiative.
• Stocked breakroom and full kitchen with breakfast and lunch provided daily by our chef and kitchen crew.

About You

You're a hands-on developer who enjoys solving complex problems and building impactful solutions.  Most importantly, you care about making a difference.

• Take the initiative to own outcomes from start to finish — knowing what needs to be accomplished within your domain and how we work together to deliver the best solution.
• You are passionate about developing your craft — you understand what it takes to build quality, robust and scalable solutions.
• You’ll see the learning opportunity when things don’t quite go to plan — not only for you but for how we continuously improve as a team.
• You take a hypothesis-driven approach — knowing how to source, create and leverage data to inform decision making, using data to drive how we improve, to shape how we evaluate and make platform recommendations.

So, what is important to us?

Above all, you’ll get stuff done. More importantly, you’ll collaborate to do the right things in the right wayto achieve the right outcomes.

• 7+ years of relevant data platform development experience building production-grade solutions.
• Proficient with SQL and a high-order object-oriented language (e.g., Python).
• Experience with designing and building distributed data architecture.
• Experience building and managing production-grade data pipelines using tools such as Airflow, dbt, DataHub, MLFlow
• Experience building and managing production-grade data platforms using distributed systems such as Kafka, Spark, Flink and/or others.
• Familiarity with event data streaming at scale.
• Proven track record learning new technologies and applying that learning quickly.
• Experience building observability and monitoring into data products. 
• Motivated to identify opportunities for automation to reduce manual toil.

EquipmentShare is committed to a diverse and inclusive workplace. EquipmentShare is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

#LI-Remote

About Us

At Kalderos, we are building unifying technologies that bring transparency, trust, and equity to the entire healthcare community with a focus on pharmaceutical pricing.  Our success is measured when we can empower all of healthcare to focus more on improving the health of people. 

That success is driven by Kalderos’ greatest asset, our people. Our team thrives on the problems that we solve, is driven to innovate, and thrives on the feedback of their peers. Our team is passionate about what they do and we are looking for people to join our company and our mission.

That’s where you come in! 

What You’ll Do:

For the position, we’re looking for a Data Engineer II to solve complex problems in the Drug Discounting space. Across all roles, we look for future team members who will live our values of Collaboration, Inspired, Steadfast, Courageous, and Excellence. 

We’re a team of people striving for the best, so naturally, we want to hire the best! We know that job postings can be intimidating, and don’t expect any candidate to check off every box we have listed (though if you can, AWESOME!). We encourage you to apply if your experience matches about 70% of this posting.

• Work with product teams to understand and develop data models that can meet requirements and operationalize well
• Build out automated ETL jobs that reliably process large amounts of data, and ensure these jobs runs consistently and well
• Build tools that enable other data engineers to work more efficiently
• Try out new data storage and processing technologies in proof of concepts and make recommendations to the broader team
• Tune existing implementations to run more efficiently as they become bottlenecks, or migrate existing implementations to new paradigms as needed
• Learn and apply knowledge about the drug discount space, and become a subject matter expert for internal teams to draw upon

General Experience Guidelines

We know your experience extends beyond what you have on paper. The following is a guideline of general experience we’re looking for in this role:

• Bachelor’s degree in computer science or similar field
• 4+ years work experience as a Data Engineer in a professional full-time role
• Experience building ETL pipelines and other services for the healthcare industry 
• Managing big data implementations – have worked on various implementations for how to scale vertically and horizontally data implementations that manage millions of records. 

Set Yourself Apart

• Experience with dbt and Snowflake
• Professional experience in application programming with an object oriented language. 
• Experience with streaming technologies such as Kafka or Event Hubs 
• Experience with orchestration frameworks like Azure Data Factory
• Experience in the healthcare or pharmaceutical industries
• Experience in a startup environment 

Anticipated compensation range for this role is $110-150K/year USD plus bonus.

____________________________________________________________________________________________

Highlighted Company Perks and Benefits

• Continuous growth and development: Annual continuing education stipend supporting all employees on their ongoing knowledge journey.
• Celebrating employee milestones: bi-annual stipend for all full-time employees to help you celebrate your exciting accomplishments throughout the year.
• Work From Home Reimbursement: quarterly funds provided through the pandemic to help ensure all employees have what they need to be productive and effective while working from home.
• A fair PTO system that allows for a healthy work-life balance. There’s no maximum, but there is a minimum; we want you to take breaks for yourself.
• 401K plan with a company match.
• Choose your own Technology: We’ll pay for your work computer. 

What It’s Like Working Here

• Competitive Salary, Bonus, and Equity Compensation. 
• We thrive on collaboration, because we believe that all voices matter and we can only put our best work into the world when we work together to solve problems.
• We empower each other: from our DEI Council to affinity groups for underrepresented populations we believe in ensuring all voices are heard.
• We know the importance of feedback in individual and organizational growth and development, which is why we've embedded it into our practice and culture. 
• We’re curious and go deep. Our slack channel is filled throughout the day with insightful articles, discussions around our industry, healthcare, and our book club is always bursting with questions.

To learn more:https://www.kalderos.com/company/culture

Kalderos is an equal opportunity workplace.  We are committed to equal opportunity regardless of race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.

Company Overview

Totango + Catalyst have joined forces to build a leading customer growth platform that helps businesses protect and grow their revenue. Built by an experienced team of industry leaders, our software integrates with all the tools CS teams already use to provide one centralized view of customer data.  Our modern and intuitive dashboards help CS leaders develop impactful workflows and take the right actions to understand health, prevent churn, increase adoption, and drive expansion.

Position Overview

Insights and intelligence are the cornerstones of our product offering. We ingest and process massive amounts of data from a variety of sources to help our users understand the overall health of their customers at each stage of their journey.  As a Senior Data Engineer, you will be directly responsible for designing and implementing the next-generation data architecture leveraging technologies such as Databricks, TiDB, and Kafka.

This role is open to remote work anywhere within Canada and the U.S.

What You’ll Do 

• Drive high impact, cross-functional data engineering projects built on top of a modern, best-in-class data stack, working with a variety of open source and Cloud technologies
• Solve interesting and unique data problems at high volume and large scale  
• Build and optimize the performance of batch, stream, and queue-based solutions including Kafka and Apache Spark
• Collaborate with stakeholders from different teams to drive forward the data roadmap
• Implement data retention, security and governance standards
• Work with all engineering teams to help drive best practices for ownership and self-serve data processing
• Support and expand standards, guidelines, tooling and best practices for data engineering at Catalyst
• Support other data engineers in delivering our critical pipelines
• Focus on data quality, cost effective scalability, and distributed system reliability and establish automated mechanisms
• Work cross functionally with application engineers, SRE, product, data analysts, data scientists, or ML engineers

What You’ll Need

• 3+ years of experience successfully implementing modern data architectures
• Strong Project Management skills
• Demonstrated experience implementing ETL pipelines with Spark (we use Pyspark)
• Proficiency in Python, SQL and/or other modern programming language
• Deep understanding of SQL/New SQL with relational data stores such as Postgres/MySQL
• A strong desire to show ownership of problems you identify
• Experience with modern Data Warehouses and Lakes such as Redshift, Snowflake, and Databricks Delta Lake
• Experience with distributed streaming tools like Kafka and Spark Structured Streaming
• Familiarity with an orchestration tool such as Airflow, dbt, and Delta Live tables
• Experience with automated testing for distributed systems (unit testing, E2E testing, QA, data expectation monitoring)
• Experience working with application engineers, product, and data scientists
• Experience with leveraging caching for performance using data stores such as Redis and ElasticSearch
• Experience with maintaining and scaling heterogeneous and large volumes of data in production
• Practical experience with DevOps best practices (CICD, IAC) is a plus
• Familiarity with Change Data Capture systems is a nice to have
•  

Why You’ll Love Working Here!

• We are Remote first! Do your best work where you are most comfortable.
• Highly competitive compensation package, including equity - everyone has a stake in our growth
• Comprehensive benefits, including up to 100% paid medical, dental, & vision insurance coverage for you & your loved ones
• Unlimited PTO policy encouraging you to take the time you need - we trust you to strike the right work/life balance
• Monthly Mental Health Days and Mental Health Weeks twice per year 

 Your base pay is one part of your total compensation package and is determined within a range. The base salary for this role is from $140,000.00 - $180,000.00 per year. We take into account numerous factors in deciding on compensation, such as experience, job-related skills, relevant education or training, and other business and organizational requirements. The salary range provided corresponds to the level at which this position has been defined.

Catalyst+Totango is an equal opportunity employer, meaning that we do not discriminate based upon race, religion, national origin, gender identity, age, sexual orientation, or any other protected class. We believe that diversity is more than just good intentions, and we are committed to creating an inclusive environment for all employees.

The Team:

Our team is responsible for building the Celonis’end-to-end Task Mining solution. Task Mining is the technology that allows businesses to capture user interaction (desktop) data, so they can analyze how teams get work done, and how they can do it even better. We own all the related components, e.g. the desktop client, the related backend services, the data processing capabilities, and Studio frontend applications.

The Role:

Celonis is looking for a Staff Data & Machine Learning Engineer to improve and extend our existing Task Mining ETL pipeline as well as build production ready AI based features into the Task Mining product. You will be owning the solution to simplify the extraction of insights from task mining data. This role demands a blend of expertise in data engineering, software development, and machine learning, utilizing Python. 

The work you’ll do:

• Design, build, and maintain robust, scalable data pipelines that facilitate the ingestion, processing, and transformation of large datasets
• Drive the development of AI-powered features and applications from scratch within the Task Mining product
• Implement data strategies and develop data models
• Collaborate with other engineering teams to implement, deploy, and monitor ML models in production, ensuring their performance and accuracy
• Leverage machine learning techniques to provide actionable insights and recommendations for process optimization
• Write performant, scalable and easy to understand SQL queries and optimize existing ones
• Learn PQL (Process Query Language – Celonis’ own language for analytical formulas and expressions) and use it to query data from our process mining engine
• Own the implementation of end to end solutions: leading the design, implementation, build and delivery to customers
• Provide technical leadership and mentorship to other engineers and team members
• Lead design discussions, code reviews, and technical planning sessions to ensure high standards and knowledge sharing

The qualifications you need:

• 8+ years of practical experience in a Computer Science/Data Science related field
• Or PhD in Data Science/AI/ML area with 5+ years of practical experience 
• Experience with building production ready and scalable AI/ML applications in the python ecosystem
• Ability to optimize data pipelines, applications, and machine learning models for high performance and scalability
• Understanding of ETL jobs, data warehouses/lakes, data modeling, schema design
• Excellent command of SQL, including query optimization principles
• Ability to assess dependencies within complex systems, quickly transform your thoughts into an accessible prototype and efficiently explain it to diverse stakeholders
• Experience with containerization and CI/CD pipelines (e.g. Docker, Github Actions)
• Interest in learning new technologies (e.g. PQL language and Object Centric Process Mining)
• Strong communication and collaboration skills (English is a must)
• Able to supervise and coach mid-level and senior colleagues
• Knowledge of Column-oriented DBMS (e.g. Vertica) and its specific features would be beneficial
• Nice to have is knowledge in the frameworks Tensorflow, Pytorch, Langchain, FastAPI, SQLAlchemy 

The Role

The Senior Data Engineer will play a critical role in designing, developing, and maintaining our data infrastructure. This role requires a deep understanding of data architecture, data modeling, and ETL processes. The ideal candidate will have extensive experience with big data technologies, cloud platforms, and a strong ability to collaborate with cross-functional teams to deliver high-quality data solutions.

This position is not eligible to be performed in Hawaii.

What You’ll Do

• Design, develop, and maintain scalable data pipelines and ETL processes to support data integration and analytics
• Architect and implement data storage solutions, including data warehouses, data lakes, and databases
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs
• Optimize and tune data systems for performance, reliability, and scalability
• Ensure data quality and integrity through rigorous testing, validation, and monitoring
• Develop and enforce data governance policies and best practices
• Stay current with emerging data technologies and industry trends, and evaluate their potential impact on our data infrastructure
• Troubleshoot and resolve data-related issues in a timely manner

Our Stack

• AWS RDS
• Snowflake
• Fivetran
• DBT
• Prefect
• Looker
• Datadog

Who You Are

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field
• 5+ years of experience in data engineering in a modern tech stack
• Proficiency in programming languages such as Python, Java, or Scala
• Strong experience with big data technologies
• Expertise in SQL and experience with relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra)
• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud
• Familiarity with data warehousing solutions like Redshift, BigQuery, or Snowflake
• Knowledge of data modeling, data architecture, and data governance principles
• Experience with IaaS technologies (e.g. terraform)
• Excellent problem-solving skills and attention to detail
• Strong communication and collaboration skills

Bonus Points

• Experience with containerization and orchestration tools like Docker and Kubernetes
• Knowledge of machine learning and data science workflows
• Experience with CI/CD pipelines and DevOps practices
• Certification in cloud platforms (e.g., AWS Certified Data Analytics, Google Professional Data Engineer)

Benefits

Fundamentals:

• Medical / Dental / Vision / Disability / Life Insurance 
• High Deductible Health Plan with Health Savings Account (HSA) option
• Flexible Spending Account (FSA)
• Access to coaches and therapists through Modern Health's platform
• Generous Time Off 
• Company-wide Collective Pause Days 

Family Support:

• Parental Leave Policy 
• Family Forming Benefit through Carrot
• Family Assistance Benefit through UrbanSitter

Professional Development:

• Professional Development Stipend

Financial Wellness:

• 401k
• Financial Planning Benefit through Origin

But wait there’s more…! 

• Annual Wellness Stipend to use on items that promote your overall well being 
• New Hire Stipend to help cover work-from-home setup costs
• ModSquad Community: Virtual events like active ERGs, holiday themed activities, team-building events and more
• Monthly Cell Phone Reimbursement

Agile Six is a people-first, remote-work company that serves shoulder-to-shoulder with federal agencies to find innovative, human-centered solutions. We build better by putting people first. We are animated by our core values of Purpose, Wholeness, Trust, Self-Management and Inclusion. We deliver our solutions in autonomous teams of self-managed professionals (no managers here!) who genuinely care about each other and the work. We know that’s our company’s purpose – and that we can only achieve it by supporting a culture where people feel valued, self-managed, and love to come to work.

The role

Agile Six is looking for a Data Engineer for an anticipated role on our cross-functional agile teams. Our partners include: the Department of Veteran Affairs (VA), Centers for Medicare & Medicaid Services (CMS), Centers for Disease Control and Prevention (CDC) and others. 

The successful candidate will bring their experience in data formatting and integration engineering to help us expand a reporting platform. As part of the team, you will primarily be responsible for data cleaning and data management tasks, building data pipelines, and data modeling (designing the schema/structure of datasets and relationships between datasets). We are looking for someone who enjoys working on solutions to highly complex problems and someone who is patient enough to deal with the complexities of navigating the Civic Tech space. The successful candidate for this role is an excellent communicator, as well as someone who is curious about where data analysis, backend development, data engineering, and data science intersect.

We embrace open source software and an open ethos regarding software development, and are looking for a candidate who does the same. Most importantly, we are looking for someone with a passion for working on important problems that have a lasting impact on millions of users and make a difference in our government!

Please note, this position is anticipated, pending contract award response.

Responsibilities

• Contribute as a member of a cross functional Agile team using your expertise in data engineering, critical thinking, and collaboration to solve problems related to the project
  • Experience with Java/Kotlin/Python, command line, and Git is required
  • Experience with transport protocols including: REST, SFTP, SOAP is required
  • Experience with HL7 2.5.1 and FHIR is strongly preferred
• Extract, transform, and load data. Pull together datasets, build data pipelines, and turn semi-structured and unstructured data into datasets that can be used for machine learning models.
• Evaluate and recommend
• We expect the responsibilities of this position to shift and grow organically over time, in response to considerations such as the unique strengths and interests of the selected candidate and other team members and an evolving understanding of the delivery environment.

Basic qualifications

• 2+ years of hands-on data engineering experience in a production environment
• Experience with Java/Kotlin/Python, command line, and Git
• Demonstrated experience with extract, transform, load (ETL) and data cleaning, data manipulation, and data management
• Demonstrated experience building and orchestrating automated data pipelines in Java/Python
• Experience with data modeling: defining the schema/structure of datasets and the relationships between datasets
• Ability to create usable datasets from semi-structured and unstructured data
• Solution-oriented mindset and proactive approach to solving complex problems
• Ability to be autonomous, take initiative, and effectively communicate status and progress
• Experience successfully collaborating with cross-functional partners and other designers and researchers, seeking and providing feedback in an Agile environment
• Adaptive, empathetic, collaborative, and holds a positive mindset
• Has lived and worked in the United States for 3 out of the last 5 years
• Some of our clients may request or require travel from time to time. If this is a concern for you, we encourage you to apply and discuss it with us at your initial interview

Additional desired qualifications

• Familiarity with the Electronic Laboratory Reporting workflows and data flow
• Knowledge of FHIR data / API standard, HL7 2.5.1
• Experience building or maintaining web service APIs
• Familiarity with various machine learning (ML) algorithms and their application to common ML problems (e.g. regression, classification, clustering)
• Statistical experience or degree
• Experience developing knowledge of complex domain and systems
• Experience working with government agencies
• Ability to work across multiple applications, components, languages, and frameworks
• Experience working in a cross-functional team, including research, design, engineering, and product
• You are a U.S. Veteran. As a service-disabled veteran-owned small business, we recognize the transition to civilian life can be tricky, and welcome and encourage Veterans to apply

At Agile Six, we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. Even if you don't meet every requirement, we encourage you to apply. We’re eager to meet people who believe in our mission and who can contribute to our team in a variety of ways.

Salary and Sixer Benefits

To promote equal pay for equal work, we publish salary ranges for each position.

The salary range for this position is $119,931-$126,081

Our benefits are designed to reinforce our core values of Wholeness, Self Management and Inclusion. The following benefits are available to all employees. We respect that only you know what balance means for your life and season. While we offer support from coaches, we expect you to own your wholeness, show up for work whole, and go home to your family the same. You will be seen, heard and valued. We expect you to offer the same for your colleagues, be kind (not controlling), be caring (not directive) and ready to participate in a state of flow. We mean it when we say “We build better by putting people first”.

All Sixers Enjoy:

• Self-managed work/life balance and flexibility
• Competitive and equitable salary (equal pay for equal work)
• Employee Stock Ownership (ESOP) for all employees!
• 401K matching
• Medical, dental, and vision insurance
• Employer paid short and long term disability insurance
• Employer paid life insurance
• Self-managed and generous paid time off
• Paid federal holidays and Election day off
• Paid parental leave
• Self-managed professional development spending
• Self-managed wellness days

Hiring practices

Agile Six Applications, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, sexual orientation, gender identity or expression, religion, age, pregnancy, disability, work-related injury, covered veteran status, political ideology, marital status, or any other factor that the law protects from employment discrimination.

Note: We participate in E-Verify. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Unfortunately, we are unable to sponsor visas at this time.

If you need assistance or reasonable accommodation in applying for any of these positions, please reach out to careers@agile6.com. We want to ensure you have the ability to apply for any position at Agile Six.

Please read and respond to the application questions carefully. Interviews are conducted on a rolling basis until the position has been filled.

Postscript Description

Postscript is redefining marketing for ecommerce companies. By introducing SMS as an entirely new channel for ecommerce stores to engage, retain, and convert their customer base, brands are seeing huge ROI with Postscript. Backed by Greylock, Y Combinator and other top investors, Postscript is growing fast and looking for remarkable people to help build a world class organization. 

Job Description

As a Senior Data Engineer for the Data Platform team at Postscript, you will provide the company with best in class data foundations to support a broad range of key engineering and product initiatives. The Data Platform team at Postscript focuses on data integration through various sources like our production application and various 3rd party integrations. You will focus on designing and building end to end data pipeline solutions: data ingestion, propagation, persistence, and services to support both our product and our internal BI organization. This role is critical in ensuring data and events are reliable and actionable throughout the Postscript Platform.

Primary duties

• Design and build performant and scalable data systems with high scale
• Architect cloud native data solutions in AWS
• Write high quality code to make your software designs a reality
• Build services to support our product with cross domain data
• Advise the team and organization on Data Engineering best practices to level up our competency in the organization
• Mentor and support your fellow engineers via code reviews, design reviews and peer feedback

What We’ll Love About You

• You’re a polyglot technologist who is passionate about data problems at scaleYou have a proven track record designing and implementing complex data systems from scratch
• You’ve built data engineering solutions in an AWS environment and have working experience with several AWS services (Lambda, Redshift, Glue, RDS, DMS, etc.)
• You have several years (5+) of experience writing high quality production code, preferably in Python or Go
• You have a broad range of experience with data persistence technologies (RDBMS, NoSQL, OLAP, etc.) and know how to select the right tool for the job
• You’ve worked in event driven systems and have experience with technologies like Kafka, Kinesis, RabbitMQ, etc.
• You’ve gotten your hands dirty with infrastructure and have used infrastructure as code technologies like Terraform
• You’re comfortable with ambiguity and like to dig into the problems as much as you love creating solutions

What You’ll Love About Us

• Salary range of USD $170,000-$190,000 base plus significant equity (we do not have geo based salaries) 
• High growth startup - plenty of room for you to directly impact the company and grow your career!
• Work from home (or wherever)
• Fun - We’re passionate and enjoy what we do
• Competitive compensation and opportunity for equity
• Flexible paid time off
• Health, dental, vision insurance

What to expect from our hiring process :

• Intro Call:You’ll hop on a quick call with the Recruiter so we can get to know you better — and you can learn a little more about the role and Postscript. 
• Hiring Manager Intro:You’ll hop on a quick call with the Hiring Manager so your future Manager can get to know you better — This is a great time to learn more about the team & position. 
• Homework Assignment:We will send over an exercise that challenges you to solve a problem & come up with a creative solution, or outline how you've solved a problem in the past. Get a feel for what you’ll be doing on a daily basis!
• Virtual Onsite Interviews: You’ll be meeting with 2-4 team members on a series of video calls. This is your chance to ask questions and see who this role interacts with on a daily basis.
• Final FEACH Interview:This is our interview to assess your ability to represent how you work via our FEACH values. As we bui in ld the #1 team in Ecommerce, we look for individuals who embody FEACH professionally and personally. We want to hear about this in your final interview!
• Reference Checks: We ask to speak with at least two references who have previously worked with you, at least one should be someone who has previously managed your work.
• Offer:We send over an offer and you (hopefully) accept! Welcome to Postscript!

​​About the Role:

We're looking for an experienced Principal Data Engineer to join our Data Platform Engineering team. Our team is responsible for enabling H&H business (Product, Analytics, Operations, Finance, Data Science, Machine Learning, Customer Experience, Engineering) by providing a platform with a rich set of data and tools to leverage.

You Will:

• Serve as a technical leader within the Data Platform org. Provide expert guidance and hands-on development of complex engineering problems and projects
• Collaborate with cross-functional stakeholders including product management, engineering, analytics, and key business representatives to align the architecture, vision, and roadmap with stakeholder needs
• Establish guidelines, controls, and processes to make data available for developing scalable data-driven solutions for Analytics and AI
• Create and set best practices for data ingestion, integration, and access patterns to support both real-time and batch-based consumer data needs
• Implement and maintain data governance practices to ensure compliance, data security, and privacy.
• Design and lead development on scalable, high-performance data architecture solutions that supports both the consumer side of the business as well as analytic use cases
• Plan and oversee large-scale and complex technical migrations to new data systems and platforms
• Drive continuous data transformation to minimize technical debt
• Display strong thought leadership and execution in pursuit of modern data architecture principles and technology modernization
• Define and lead technology proof of concepts to ensure feasibility of new data technology solutions
• Provide technical leadership and mentorship to the members of the team, fostering a culture of technical excellence
• Create comprehensive documentation for design, and processes to support ongoing maintenance and knowledge sharing
• Conduct design reviews to ensure that proposed solutions address platform and stakeholder pain points, as well as meet business, and technical requirements, with alignment to standards and best practices
• Prepare and deliver efficient communications to convey architectural direction and how it aligns with company strategy. Be able to explain the architectural vision and implementation to executives

You Have:

• Bachelor's or Master's degree in Computer Science or equivalent, with over 12 years of Data Architecture and Data Engineering experience, including team leadership
• Proven expertise in designing data platforms for large-scale data and diverse data architectures, including warehouses, lakehouses, and integrated data stores.
• Proficiency and hands-on knowledge in a variety of technologies such as SQL, Bash, Python, Java, Presto, Spark, AWS, data streaming like Kafka, RabbitMQ,
• Hands-on experience and proficiency with data stacks including Airflow, Databricks, and dbt, as well as data stores such as Cassandra, Aurora, and ZooKeeper
• Experience with data security (including PHI and PII), as well as data privacy regulations (CCPA and GDPR)
• Proficient in addressing data-related challenges through analytical problem-solving and aligning data architecture with organizational business goals and objectives
• Exposure to analytics techniques using ML and AI to assist data scientists and analysts in deriving insights from data
• Analytical and problem-solving skills to address data-related challenges and find optimal solutions
• Ability to manage projects effectively, plan tasks, set priorities, and meet deadlines in a fast-paced and ever changing environmen

Nice To Have:

• Experience working in healthcare or in a B2C company

Our Benefits (there are more but here are some highlights):

• Competitive salary & equity compensation for full-time roles
• Unlimited PTO, company holidays, and quarterly mental health days
• Comprehensive health benefits including medical, dental & vision, and parental leave
• Employee Stock Purchase Program (ESPP)
• Employee discounts on hims & hers & Apostrophe online products
• 401k benefits with employer matching contribution
• Offsite team retreats

#LI-Remote

Available Location: Lisbon, Portugal; London, UK; Singapore or Remote US 

About the Role

We are seeking a Data Center Design Engineer to design Cloudflare’s pending and future infrastructure deployments for generational improvement in cost, quality, and speed of deployment. We are looking for someone who excels at progressing many projects in parallel, managing dynamic day to day priorities with many stakeholders, and has experience implementing and refining data center design best practices in a high growth environment.  Getting stuff done is a must!

The Data Center Strategy team is part of Cloudflare’s global Infrastructure (INF) team. The INF team grows and manages Cloudflare’s global data center/PoP footprint, enabling Cloudflare’s tremendous growth with compute, network, and data center infrastructure, utilizing an extensive range of global partner vendors.  

What you get to do in this role:

• Translate data center capacity requirements into actionable white space design and/or rack plans within individual data center contract constraints for power, cooling
• Manage implementation phase of cage projects with data center providers
• Design low voltage structured cabling, fiber, cross-connect & conveyance infrastructure as well as any supporting infrastructure on the data center ceiling/floor
• Work with supply chain team on rack integration plans and location deployment qualification
• Work cross-functionally with Cloudflare data center engineering team and other internal teams (capacity planning, network strategy, security) to verify scope and solution and create repeatable standard installation procedures
• Take ownership of and lead projects to design and implement data center expansions or new data centers on tight deadlines with minimal oversight 
• Technical support in negotiations with external data center partners
• Assist in RFP preparation, review and cost/engineering analysis
• Review one-line diagrams and cooling equations for new and existing data centers (Data Center M&E)
• Power component (PDU) review/approval for Hardware sourcing team
• Implement, document and maintain power consumption tracking tools and fulfil ad-hoc reporting requests
• Research new and innovative power efficiency technologies and programs
• Travel up to 25% to perform infrastructure audits, validate data center construction work and buildouts, and participate in commercial processes.
• Other duties as assigned

Requirements

• Bachelors or equivalent experience plus 5+ years of experience in data center mechanical and electrical design and operations/deployment/installation, P.E. certification or equivalent a plus
• Experience in HVAC, Chilled Water Systems, Condenser Water Systems, Pump controls, Glycool/Glycols, AHU units (DX, split, RTU, CRAC, etc.), CRAH, Raised Floor Systems, HOT/COLD aisle containment and Building Management Systems
• Understanding of basic electrical theory (voltage, current, power), basic circuit design & analysis, and single- and three-phase power systems
• Familiarity with Data Center M&E infrastructure design concepts, electrical/UPS topologies, cooling methodologies (central plant, room cooling, high density thermal strategies)
• Familiarity with industry standards for resilient Data Center design and Uptime Institute Tier Classifications
• Excellent verbal, written communication and presentation skills
• Experience working with multiple time zones and multiple cross-functional teams
• Experience working on time sensitive projects with delivery responsibility under pressure

Bonus Points

• Degree in electrical/mechanical engineering or IT a plus
• Experience in large-scale mission critical facility infrastructure design, construction, commissioning, and/or operations a plus
• Experience with industry standards, building codes and safety standards including UMC, NFPA, ASHRAE, UBC, UMC and LEED, Uptime Institute
• Knowledge of programming languages a plus
• JIRA, Confluence admin-level experience a plus
• AutoCAD experience a plus
• Experience with FLOTHERM or Tileflow a plus