About the Company

Gemini is a global crypto and Web3 platform founded by Tyler Winklevoss and Cameron Winklevoss in 2014. Gemini offers a wide range of crypto products and services for individuals and institutions in over 70 countries.

Crypto is about giving you greater choice, independence, and opportunity. We are here to help you on your journey. We build crypto products that are simple, elegant, and secure. Whether you are an individual or an institution, we help you buy, sell, and store your bitcoin and cryptocurrency. 

At Gemini, our mission is to unlock the next era of financial, creative, and personal freedom.

In the United States, we have a flexible hybrid work policy for employees who live within 30 miles of our office headquartered in New York City and our office in Seattle. Employees within the New York and Seattle metropolitan areas are expected to work from the designated office twice a week, unless there is a job-specific requirement to be in the office every workday. Employees outside of these areas are considered part of our remote-first workforce. We believe our hybrid approach for those near our NYC and Seattle offices increases productivity through more in-person collaboration where possible.

The Department: Platform Security

The Role: Staff Data Security Engineer

The Platform Security team secures Gemini’s infrastructure through service hardening and by developing and supporting a suite of foundational tools. We provide secure-by-default infrastructure, consumable security services, and expert consultation to engineering teams for secure cloud and non-cloud infrastructure.

The Platform Security team covers a broad problem space that includes all areas of Gemini’s platform infrastructure. In the past, this team has focused specifically on cloud security and we continue to invest heavily in this area.  This role will bring additional depth and specialization in database design, security and  We also value expertise in neighboring areas of infrastructure and platform security engineering including: PKI, core cryptography, identity management, network security, etc.

Responsibilities:

• Design, deploy, and maintain database, and relevant security controls for security and engineering teams.
• Build and improve security controls capturing data in transit and data at rest. 
• Partner with engineering teams on security architecture and implementation decisions.
• Own our database security roadmap and act as relevant SME within Gemini.
• Collaborate with AppSec, Threat Detection, Incident Response, GRC and similar security functions to identify, understand, and reduce security risk.

Minimum Qualifications:

• 6+ years of experience in the field.
• Extensive knowledge of database architecture and security principles.
• Significant experience with container orchestration technologies and relevant security considerations. We often use Kubernetes and EKS.
• Experience in SRE, systems engineering, or network engineering.
• Experience with distributed systems or cloud computing. We often use AWS.
• Significant software development experience. We often use Python or Go.
• Experience building and owning high-availability critical systems or cloud-based services
• Able to self-scope, define, and manage short and long term technical goals.

Preferred Qualifications:

• Proven track record securing databases and ensuring data integrity.
• Experience securing AWS and Linux environments, both native and third-party.
• Experience designing and implementing cryptographic infrastructure such as PKI, secrets management, authentication, or secure data storage/transmission.
• Experience designing and implementing systems for identity and access management.
• Experience with configuration management and infrastructure as code. We often use Terraform.

• Competitive starting salary
• A discretionary annual bonus
• Long-term incentive in the form of a new hire equity grant
• Comprehensive health plans
• 401K with company matching
• Paid Parental Leave
• Flexible time off

Salary Range: The base salary range for this role is between $172,000 - $215,000 in the State of New York, the State of California and the State of Washington. This range is not inclusive of our discretionary bonus or equity package. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data.

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know.

#LI-AH1

Who We’re Looking For:

We’re looking to add a Senior Data Integration Engineer with a strong background in data engineering and development.  You will work with a team of software and data engineers to build client-facing data-first solutions utilizing data technologies such as SQL Server and MongoDB. You will develop data pipelines to transform/wrangle/integrate the data into different data zones.

To be successful in this role, you will need to hold extensive knowledge of SQL, relational databases, ETL pipelines, and big data fundamentals.  You will also need to possess strong experience in the development and consumption of RESTful APIs.  The ideal candidate will also be a strong independent worker and learner.

What You’ll Be Doing

• Develop processes and data models for consuming large quantities of 3^rd party vendor data via RESTful APIs.
• Develop data processing pipelines to analyze, transform, and migrate data between applications and systems.
• Analyze data from multiple sources and negotiate differences in storage schema using the ETL process.
• Develop APIs for external consumption by partners and customers.
• Develop and support our ETL environment by recommending improvements, monitoring, and deploying quality and validation processes to ensure accuracy and integrity of data.
• Design, develop, test, deploy, maintain, and improve data integration pipelines.
• Create technical solutions that solve business problems and are well engineered, operable, and maintainable.
• Design and implement tools to detect data anomalies (observability). Ensure that data is accurate, complete, and high quality across all platforms.
• Troubleshoot data issues and perform root cause analysis to proactively resolve product and operational issues.
• Assembles large and complex data sets; develops data models based on specifications using structured data sets.
• Develops familiarity with emerging and complex automations and technologies that support business processes.
• Develops scalable and re-usable frameworks for ingestion and transformation of large datasets.
• Work within an Agile delivery / DevOps methodology to deliver product increments in iterative sprints.
• Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues.
• Develop data models and mappings and build new data assets required by users. Perform exploratory data analysis on existing products and datasets.
• Identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
• Engage in logical and physical design of databases, table creation, script creation, views, procedures, packages, and other database objects.
• Create documentation for solutions and processes implemented or updated to ensure team members and stakeholders can correctly interpret it.
• Design and implement processes and/or process improvements to help the development of technology solutions.

Your Skills and Experience (In Order of Importance):

• 5+ years of relational database development experience; including SQL query generation and tuning, database design, and data concepts.
• 5+ years of backend and Restful API development experience in NodeJS (experience with GraphQL a plus).
• 5+ years of development experience with the following languages Python, Java, C#/ .NET.
• 5+ years of experience with SQL and NoSQL databases; including MS SQL and MongoDB.
• 5+ years consuming RESTful APIs with data ingestion and storage.
• 5+ years developing RESTful APIs for use by customers and 3^rd
• 3+ years of professional work experience designing and implementing data pipelines in a cloud environment.
• 3+ years of experience working within Azure cloud.
• Experience in integrating and ingesting data from external data sources.
• Strong diagnostic skills and ability to research, troubleshoot, and logically determine solutions.
• Ability to effectively prioritize tasks in a fast-paced, high-volume, and evolving work environment.
• Comfortable managing multiple and changing priorities, and meeting deadlines.
• Highly organized, detail-oriented, excellent time management skills.
• Excellent written and verbal communication skills.

We want you to join us as a full-timeSenior Data Engineer into our Data Pipelineteam. We work remotely first, but we are more than happy to meet you in our nice office in Bratislava or Brno. And if you are interested in who will be your engineering manager, check out Vaclav's Linkedin.

Intrigued? Read on ????…

Your responsibilities

• You will develop and maintain Data LakeHouse on top of GCP platform using Apache IceBerg, BigQuery, BigLake tables, DataPlex and DataProc in the form ofApacheSpark/Flink with open file formats like AVRO and Parquet
• You will help to maintain a streaming mechanism on how data from Apache Kafka gets into the Data LakeHouse
• You will optimise the Data LakeHouse for near-real-time and non-real-time analytical use-cases primarily for customer activation and scenarios/campaign evaluation 
• You should help with areas like data discovery and managed access to data through the data governance layer and data catalog using DataPlex so our engineering teams can leverage from this unified Data LakeHouse
• You feel responsible for DataModeling and schema evolution
• You should help us with adopting the concepts from Data Fabrics and Data Mesh to run data as a product to unlock the potential the data can unleash for our clients
• You should bring expertise into the team from similar previous projects to influence how we adopt and evolve the concepts mentioned above and as an addition to that to topics like Zero-copy or reverse ETL to increase the ease of integration with client’s platforms
• You will also help to maintain the existing data exports to Google’s BigQuery using google’s DataFlows and Apache Beam 
• You will help us run and support our services in production handling high-volume traffic using Google Cloud Platform and Kubernetes.
• You will review the code of your peers and they'll review yours. We have high code quality standards and the four-eyes principle is a must!

Your qualifications

• You have production experience with building and operating a DataLake, Data Warehouse or Data LakeHouses
• You have a taste for big data streaming, storage and processing using open source technologies
• You can demonstrate your understanding of what it means to treat data as a product
• You know what are Data Mashes and Data Fabrics and what is critical to make sure for them to bring value
• You are able to learn and adapt. It'll be handy while exploring new tech, navigating our not-so-small code base, or when iterating on our team processes.
• You knowdata structures,you knowPython and (optionaly) Go.

Our tech stack

• Google Cloud Platform, DataFlow, Apache Beam, BigQuery, BigLake Table
• Open formats IceBerg, Avro, Parquet
• DataProc, Spark, Flink, Presto
• Python, GO
• Apache Kafka, Kubernetes, GitLab
• BigTable, Mongo, Redis
• … and much more ????

Compensations

• Salary range starting from 4300 EUR gross per month,going up depending on your experience and skills
• There's a bonus based on company performance and your salary.
• You will be entitled to restricted stock options ????that will truly make you a part of Bloomreach.
• You can spend 1500 USD per year on the education of your choice (books, conferences, courses, ...).
• You can count on free access to Udemy courses.
• We have 4 company-wide disconnect days throughout the year during which you will be encouraged not to work and spend a day with your friends and family "disconnected".
• You will have extra 5 days of paid vacation????. Extra days off for extra work-life balance ????.
• Food allowance!
• Sweet referral bonus up to 3000 USD based on the position.

Your success story.

• During the first 30 days, you will get to know the team, the company, and the most important processes. You’ll work on yourfirst tasks. We will help you to get familiar with our codebase and our product.
• During the first 90 days, you will participate in yourfirst, more complex projects. You will help the team to find solutions to various problems, break the solution down into smaller tasks and participate in implementation. You will learn how we identify problems, how we prioritize our efforts, and how we deliver value to our customers.
• During the first 180 days, you’ll become an integral part of the team. You will achieve the first goals we will set together to help you grow and explore new and interesting things. You will help us to deliver multi-milestone projects bringing great value to our customers. You will help us mitigate your first incidents and eventually even join the on-call rotation. You will get a sense of where the team is heading and you’ll help us toshape our future.
• Finally, you’ll find out that our values are truly lived by us ????. We are dreamers and builders. Join us!

Available Locations: Lisbon or Remote Portugal

About the team

You will be part of the Network Strategy team within Cloudflare’s Infrastructure Engineering department. The Network Strategy team focuses on building both external and internal relationships that allow for Cloudflare to scale and reach user populations around the world. Our group takes a long term and technical approach to forging mutually beneficial and sustainable relationships with all of our network partners. 

About the role

We are looking for an experienced Data and Analytics Engineer to join our team to scale our data insights initiatives. You will work with a wide array of data sources about network traffic, performance, and cost. You’ll be responsible for building data pipelines, doing ad-hoc analytics based on the data, and automating our analysis. Important projects include understanding the resource consumption and cost of Cloudflare’s broad product portfolio.

A candidate will be successful in this role if they’re flexible and able to match the right solution to the right problem. Flexibility is key. Cloudflare is a fast-paced environment and requirements change frequently.

What you'll do

• Design and implement data pipelines that take unprocessed data and make it usable for advanced analytics
• Work closely with other product and engineering teams to ensure our products and services collect the right data for our analytics
• Work closely with a cross functional team of data scientists and analysts and internal stakeholders on strategic initiatives 
• Build tooling, automation, and visualizations around our analytics for consumption by other Cloudflare teams

Examples of desirable skills, knowledge and experience

• Excellent Python and SQL (one of the interviews will be a code review)
• B.S. or M.S in Computer Science, Statistics, Mathematics, or other quantitative fields, or equivalent experience
• Minimum 3 years of industry experience in software engineering, data engineering, data science or related field with a track record of extracting, transforming and loading large datasets 
• Knowledge of data management fundamentals and data storage/computing principles
• Excellent communication & problem solving skills 
• Ability to collaborate with cross functional teams and work through ambiguous business requirements

Bonus Points

• Familiarity with Airflow 
• Familiarity with Google Cloud Platform or other analytics databases

Today, CLEAR is well-known as a leader in digital and biometric identification, reducing friction for our members wherever an ID check is needed. We’re looking for an experienced Senior Data Engineer to help us build the next generation of products which will go beyond just ID and enable our members to leverage the power of a networked digital identity. As a Senior Data Engineer at CLEAR, you will participate in the design, implementation, testing, and deployment of applications to build and enhance our platform- one that interconnects dozens of attributes and qualifications while keeping member privacy and security at the core. 

A brief highlight of our tech stack:

• SQL / Python / Looker / Snowflake / Airflow / Databricks / Spark / dbt

What you'll do:

• Build a scalable data system in which Analysts and Engineers can self-service changes in an automated, tested, secure, and high-quality manner 
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• Develop and maintain data pipelines to collect, clean, and transform data. Owning end to end data product from ingestion to visualization
• Develop and implement data analytics models
• Partner with product and other stakeholders to uncover requirements, to innovate, and to solve complex problems
• Have a strong sense of ownership, responsible for architectural decision-making and striving for continuous improvement in technology and processes at CLEAR

 What you're great at:

• 6+ years of data engineering experience
• Working with cloud-based application development, and be fluent in at least a few of: 
  • Cloud services providers like AWS
  • Data pipeline orchestration tools like Airflow, Dagster, Luigi, etc
  • Big data tools like Spark, Kafka, Snowflake, Databricks, etc
  • Collaboration, integration, and deployment tools like Github, Argo, and Jenkins 
  • Data visualization tool like Looker, Tableau, etc
• Articulating technical concepts to a mixed audience of technical and non-technical stakeholders
• Collaborating and mentoring less experienced members of the team
• Comfort with ambiguity 
• Curiosity about technology, believe in constant learning, and ability to be autonomous to figure out what's important

How You'll be Rewarded:

At CLEAR we help YOU move forward - because when you’re at your best, we’re at our best. You’ll work with talented team members who are motivated by our mission of making experiences safer and easier. Our hybrid work environment provides flexibility. In our offices, you’ll enjoy benefits like meals and snacks. We invest in your well-being and learning & development with our stipend and reimbursement programs. 

We offer holistic total rewards, including comprehensive healthcare plans, family building benefits (fertility and adoption/surrogacy support), flexible time off, free OneMedical memberships for you and your dependents, and a 401(k) retirement plan with employer match. The base salary range for this role is $175,000 - $215,000, depending on levels of skills and experience.

The base salary range represents the low and high end of CLEAR’s salary range for this position. Salaries will vary depending on various factors which include, but are not limited to location, education, skills, experience and performance. The range listed is just one component of CLEAR’s total compensation package for employees and other rewards may include annual bonuses, commission, Restricted Stock Units.

About CLEAR

Have you ever had that green-light feeling? When you hit every green light and the day just feels like magic. CLEAR's mission is to create frictionless experiences where every day has that feeling. With more than 25+ million passionate members and hundreds of partners around the world, CLEAR’s identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or right on your phone, CLEAR connects you to the things that make you, you - unlocking easier, more secure, and more seamless experiences - making them all feel like magic.

CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment.

What you’ll do  

• Lead the Design and Implementation: Using modern data architecture principles, architect and implement cutting-edge data processing platforms and enterprise-wide data solutions. 
• Scale Data Platform: Develop a scalable Platform for optimal data extraction, transformation, and loading from various sources, ensuring data integrity and accessibility. 
• AI / ML platform: Design and build scalable AI and ML platforms to support Transcarent use cases.  
• Collaborate Across Teams: Partner with Executive, Product, Clinical, Data, and Design teams to meet their data infrastructure needs, supporting them with technical expertise. 
• Optimize Data Pipelines: Build and optimize complex data pipelines, ensuring high performance, reliability, and scalability. 
• Innovate and Automate: Create and maintain data tools and pipelines that empower analytics, data science, and other teams to drive innovation and operational excellence. 
• Mentor and Lead: Provide technical leadership and mentorship to the data engineering team, fostering a culture of continuous learning and improvement. 

What we’re looking for:  

• Experienced: 10+ years of experience in data engineering with a strong background in building and scaling data architectures in complex environments. Healthcare experience is a plus. 
• Technical Expertise: Advanced working knowledge of SQL, relational databases, and big data tools (e.g., Spark, Kafka). Proficient in cloud-based data warehousing (e.g., Snowflake) and cloud services (e.g., AWS). Proficient in understanding of AI / ML workflows, etc., 
• Architectural Visionary: Demonstrated experience in service-oriented and event-based architecture with strong API development skills. 
• Problem Solver: Ability to manage and optimize processes supporting data transformation, metadata management, and workload management. 
• Collaborative Leader: Strong communication skills with the ability to present ideas clearly and lead cross-functional teams effectively. 
• Project Management: Strong project management and organizational skills, capable of leading multiple projects simultaneously. 

Nice to have: 

• Preferred tech stack: 
  • Data Platforms: Experience with building Data-as-a-Service platforms and API development. 
  • Programming Languages: Proficient in object-oriented scripting languages such as Python, Java, C++, Scala, etc. 
  • Big Data Tools: Expertise with tools like Spark, Kafka, and stream-processing systems like Storm or Spark-Streaming. 
  • Cloud Services: In-depth experience with AWS services (EC2, EMR, RDS, Redshift) and workflow management tools like Airflow. 

About Life360

Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app and Tile tracking devices empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 66 million monthly active users (MAU) across more than 150 countries. 

Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends that basically are family). 

Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com.

Life360 is a Remote First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US) regardless of any specified location above. 

About the Team

The Data and Analytics team is looking for a high intensity individual who is passionate about driving our in-app ads experience forward. Our mission is to envision, design, and build high impact ads data products while maintaining a commitment to putting our members before metrics. You will be expected to become the go-to member in our team for ads related data products. We want open-minded individuals that are highly collaborative and communicative. We work together and celebrate our wins as a team and are committed to building a welcoming team where everyone can perform their best.

About the Job

At Life360, we collect a lot of data: tens of billions of unique location points, billions of user actions, billions of miles driven every single month, and so much more. As a Data Engineer II, you will contribute to enhancing and maintaining our data processing and storage pipelines/workflows for a robust and secure data lake. You should have a strong engineering background and even more importantly a desire to take ownership of our data systems to make them world class.

The US-based salary range for this role is $135,000 - $185,000. We take into consideration an individual's background and experience in determining final salary - therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.

What You’ll Do

Primary responsibilities include, but are not limited to:

• Design, implement, and maintain scalable data processing platforms used for real-time analytics and exploratory data analysis.
• Manage our ads data from ingestion through ETL to storage and batch processing.
• Automate, test and harden all data workflows.
• Architect logical and physical data models to ensure the needs of the business are met.
• Collaborate with our ads analytics teams, while applying best practices.
• Architect and develop systems and algorithms for distributed real-time analytics and data processing.
• Implement strategies for acquiring and transforming our data to develop new insights.
• Champion data engineering best practices and institutionalizing efficient processes to foster growth and innovation within the team.

What We’re Looking For

• Minimum of 3 years of experience working with high volume data infrastructure.
• Experience with cloud computing platforms like Databricks and AWS, or a cloud computing framework like dbt.
• Experience with job orchestration tooling like Airflow.
• Proficient programming in either Python or Java.
• Proficiency with SQL and ability to optimize queries.
• Experience in data modeling and database design.
• Experience with large-scale data processing using Spark and/or Presto/Trino.
• Experience working with an ads-related data system like Google Ad Manager, Adbutler, Kevel, Acxiom, Fantix, LiveRamp, etc.
• Experience in modern development lifecycle including Agile methodology, CI/CD, automated deployments using Terraform, GitHub Actions etc.
• Knowledge and proficiency in the latest open source and data frameworks, modern data platform tech stacks and tools.
• Always learning and staying up to speed with the fast moving data world.
• You have good communication skills and can work independently.
• BS in Computer Science, Software Engineering, Mathematics, or equivalent experience.

Our Benefits

• Competitive pay and benefits
• Medical, dental, vision, life and disability insurance plans (100% paid for employees)
• 401(k) plan with company matching program
• Mental Wellness Program & Employee Assistance Program (EAP) for mental well being
• Flexible PTO, 13 company wide days off throughout the year
• Winter and Summer Week-long Synchronized Company Shutdowns
• Learning & Development programs
• Equipment, tools, and reimbursement support for a productive remote environment
• Free Life360 Platinum Membership for your preferred circle
• Free Tile Products

Life360 Values

Our company’s mission driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference.

• Be a Good Person - We have a team of high integrity people you can trust. 
• Be Direct With Respect - We communicate directly, even when it’s hard.
• Members Before Metrics - We focus on building an exceptional experience for families. 
• High Intensity, High Impact - We do whatever it takes to get the job done. 

Our Commitment to Diversity

We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.

We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.

We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.Even if you don’t meet 100% of the below qualifications, you should still seriously consider applying!

#LI-Remote

____________________________________________________________________________

Senior Data Engineer

100% Remote (U.S. Based Only, Select States - See Below)

About the role

StyleSeat is looking to add a Senior Data Engineer to its cross-functional Search product team. This team of data scientists, analysts, data engineers, software engineers and SDETs is focused on improving our search capability and customer search experience. The Senior Data Engineer will use frameworks and tools to perform the ETL and propose abstractions of those methods to aid in solving the problems associated with data ingestion. 

What you’ll do

• Handle data engineering tasks in a team focused on improving search functionality and customer search experience.
• Design, develop, and own ETL pipelines that deliver data with measurable quality.
• Scope, architect, build, release, and maintain data oriented projects, considering performance, stability, and an error-free operation.
• Identify and resolve pipeline issues while discovering opportunities for improvement.
• Architect scalable and reliable solutions to move data across systems from multiple products in nearly real-time.
• Continuously improve our data platform and keep the technology stack current.
• Solve critical issues in complex designs or coding schemes.
• Monitor metrics, analyze data, and partner with other internal teams to solve difficult problems creating a better customer experience.

Who you are 

Successful candidates can come from a variety of backgrounds, yet here are some of the must have  and nice to have experiences we’re looking for:

Must-Have:

• Expert SQL skills.
• 4 + years experience with::
• Scaling and optimizing schemas.
• Performance tuning ETL pipelines.
• Building pipelines for processing large amounts of data.
• Proficiency with Python, Scala and other scripting languages.
• Experience with:
• MySQL and Redshift.
• NoSQL data stores, methods and approaches.
• Kinesis or other data streaming services. 
• Airflow or other pipeline workflow management tools. 
• EMR,  Spark and ElasticSearch.
• Docker or other container management tools. 
• Developing infrastructure as code (IAC).
• Ability to effectively work and communicate with cross-departmental partners and non-technical teams.

Nice to Have:

• Experience with:
• Segment customer data platform with integration to Braze.
• Terraform. 
• Tableau.
• Django.
• Flask.

Salary Range

Our job titles may span more than one career level. The career level we are targeting for this role has a base pay between $136,900 and $184,600. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. Base pay ranges are subject to change and may be modified in the future. 

Who we are

StyleSeat is the premier business platform for SMBs in the beauty and wellness industry to run and grow their business; and destination for consumers to discover, book and pay. To date, StyleSeat has powered more than 200 million appointments totaling over $12 billion in revenue for small businesses. StyleSeat is a platform and marketplace designed to support and promote the beauty and personal care community. 

Today, StyleSeat connects consumers with top-rated beauty professionals in their area for a variety of services, including hair styling, barbering, massage, waxing, and nail care, among others. Our platform ensures that Pros maximize their schedules and earnings by minimizing gaps and cancellations, effectively attracting and retaining clientele.

StyleSeat Culture & Values 

At StyleSeat, our team is committed to fostering a positive and inclusive work environment. We respect and value the unique perspectives, experiences, and skills of our team members and work to create opportunities for all to grow and succeed. 

• Diversity - We celebrate and welcome diversity in backgrounds, experiences, and perspectives. We believe in the importance of creating an inclusive work environment where everyone can thrive. 
• Curiosity- We are committed to fostering a culture of learning and growth. We ask questions, challenge assumptions, and explore new ideas. 
• Community - We are committed to making a positive impact on each, even when win-win-win scenarios are not always clear or possible in every decision. We strive to find solutions that benefit the community as a whole and drive our shared success.
• Transparency - We are committed to open, honest, and clear communication. We hold ourselves accountable for maintaining the trust of our customers and team.
• Entrepreneurship - We are self-driven big-picture thinkers - we move fast and pivot when necessary to achieve our goals. 

Applicant Note: 

StyleSeat is a fully remote, distributed workforce, however, we only have business entities established in the below list of states and, thus, are unable to consider candidates who live in states not on this list for the time being.
**Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.

* Arizona

* Alabama

* California

* Colorado

* Florida

* Georgia

* Illinois

* Indiana

* Massachusetts

* Maryland

* Michigan

* Nebraska

* New York

* New Jersey 

* Ohio

* Oregon

* Pennsylvania

* Virginia 

* Washington