Job description

ABOUT THRIVE MARKET Thrive Market was founded in 2014 with a mission to make healthy and sustainable living easy and affordable for everyone. As an online, membership-based market, we deliver the highest quality healthy, and sustainable products at member-only prices, while matching every paid membership with a free one for someone in need. Every day, we leverage innovative technology and member-first thinking to help our over 1,700,000+ members find better products, support better brands, and build a better world in the process. We are also a Certified B Corporation, a Public Benefit Corporation, and a Climate Neutral Certified company. Join us as we bring healthy and sustainable living to millions of Americans in the years to come. THE ROLE Thrive Market’s Data Engineering team is seeking a Senior Data Engineer! We are looking for a brilliant, dedicated, and hardworking engineer to help us build high-impact products alongside our Data Strategy Team. Our site sees millions of unique visitors every month, and our customer growth currently makes us one of the fastest-growing e-commerce companies in Los Angeles. We are looking for a Senior Data Engineer with hands-on experience working on structured/semi-structured/Complex data processing and streaming frameworks. We need your amazing software engineering skills to help us execute our Data Engineering & Analytics initiatives and turn them into products that will provide great value to our members. In this role, we are hoping to bring someone in who is equally excited about our mission, learning the tech behind the company, and has the ability to work cross-functionally with other engineering teams. RESPONSIBILITIES Work across multiple projects and efforts to orchestrate and deliver cohesive data engineering solutions in partnership with various functional teams at Thrive Market Be hands-on and take ownership of the complete cycle of data services, from data ingestion, data processing, and ETL to data delivery for reporting Collaborate with other technical teams to deliver data solutions that meet business and technical requirements; define technical requirements and implementation details for the underlying data lake, data warehouse, and data marts Identify, troubleshoot, and resolve production data integrity and performance issues Collaborate with all areas of data management as lead to ensure patterns, decisions, and tooling are implemented in accordance with enterprise standards Perform data source gap analysis and create data source/target catalogs and mappings Develop a thorough knowledge and understanding of cross-system integration, interactions, and relationships in order to develop an enterprise view of Thrive Market’s future data needs Design, coordinate, and execute pilots/prototypes/POC to provide validation on specific scenarios and provide an implementation roadmap Recommend/Ensure technical functionality (e.g. scalability, security, performance, data recovery, reliability, etc.) for Data Engineering Facilitate workshops to define requirements and develop data solution designs Apply enterprise and solution architecture decisions to data architecture frameworks and data models Maintain a repository of all data architecture artifacts and procedures Collaborate with IT teams, software providers, and business owners to predict and devise data architecture that addresses business needs for collection, aggregation, and interaction with multiple data streams QUALIFICATIONS Excellent communication and presentation skills (verbal, written, presentation) across all levels of the organization. Ability to translate ambiguous concepts into tangible ideas. Hands on experience programming in Python, DBT and Airflow Expertise with RDBMS and Data Warehousing (Strong SQL) with Snowflake or similar In-depth knowledge and experience with data and information architecture patterns and implementation approaches for Operational Data Stores, Data Warehouses, Data Marts and Data Lakes Experience administering and managing data infrastructure using Terraform. Proficiency in logical/physical data architecture, design and development Experience in Data lake / Big data analytics platform implementation either cloud based or on-premise; AWS preferred Experience working with high volumes of data; experience in design, implementation and support of highly distributed data applications Experience evaluating and working with tools and vendors that support marketing measurement frameworks, including MMM and MTA, is a plus. Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration E.g. GitHub, Jenkins Experience using Claude or similar AI agents for development is a plus. Experience with writing Kafka producers and consumers or experience with AWS Kinesis A knack for independence (hands-on) as well as team work Excellent analytical and problem-solving skills, often in light of ill-defined issues or conflicting information. Experience with streaming data ingestion, machine-learning, Apache Spark a plus Adept in the ability to elicit, gather, and manage requirements in an Agile delivery environment JOB INFORMATION Compensation Description - The base salary range for this position is $165,000 - $190,000/Per Year. Compensation may vary outside of this range depending on several factors, including a candidate’s qualifications, skills, competencies and experience, and geographic location. Total Compensation includes Base Salary, Stock Options, Health & Wellness Benefits, Flexible PTO, and more! This position requires traveling to our HQ office in Los Angeles, California, twice a year for all-company summits; once in the summer and once in the winter. BELONG TO A BETTER COMPANY Comprehensive health benefits (medical, dental, vision, life and disability) Competitive salary (DOE) + equity 401k plan 9 Observed Holidays Flexible Paid Time Off Subsidized ClassPass Membership with access to fitness classes and wellness and beauty experiences Ability to work in our beautiful office in Playa Vista Free Thrive Market membership with exclusive employee discount Coverage for Life Coaching & Therapy Sessions on our holistic mental health and well-being platform We're a community of more than 1 Million + members who are united by a singular belief: It should be easy to find better products, support better brands, make better choices, and build a better world in the process. At Thrive Market, we believe in building a diverse, inclusive, and authentic culture. If you are excited about this role along with our mission and values, we encourage you to apply. Thrive Market is an EEO/Veterans/Disabled/LGBTQ employer At Thrive Market, our goal is to be a diverse and inclusive workplace that is representative, at all job levels, of the members we serve and the communities we operate in. We’re proud to be an inclusive company and an Equal Opportunity Employer and we prohibit discrimination and harassment of any kind. We believe that diversity and inclusion among our teammates is critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. If you’re thinking about joining our team, we expect that you would agree! Employment with Thrive Market requires that employees be based in the United States. This is a condition of employment and must be maintained throughout the duration of employment. If you need assistance or accommodation due to a disability, please email us at eeo@thrivemarket.com and we’ll be happy to assist you. Ensure your Thrive Market job offer is legitimate and don't fall victim to fraud. Thrive Market never seeks payment from job applicants. Thrive Market recruiters will only reach out to applicants from an @thrivemarket.com email address. For added security, where possible, apply through our company website at www.thrivemarket.com . © Thrive Market 2026 All rights reserved.

Requirements

Must-haves

Thrive Market’s Data Engineering team is seeking a Senior Data Engineer!
Work across multiple projects and efforts to orchestrate and deliver cohesive data engineering solutions in partnership with various functional teams at Thrive Market
Be hands-on and take ownership of the complete cycle of data services, from data ingestion, data processing, and ETL to data delivery for reporting
Identify, troubleshoot, and resolve production data integrity and performance issues
Collaborate with all areas of data management as lead to ensure patterns, decisions, and tooling are implemented in accordance with enterprise standards
Perform data source gap analysis and create data source/target catalogs and mappings
Develop a thorough knowledge and understanding of cross-system integration, interactions, and relationships in order to develop an enterprise view of Thrive Market’s future data needs
Design, coordinate, and execute pilots/prototypes/POC to provide validation on specific scenarios and provide an implementation roadmap
Recommend/Ensure technical functionality (e.g. scalability, security, performance, data recovery, reliability, etc.) for Data Engineering
Facilitate workshops to define requirements and develop data solution designs
Apply enterprise and solution architecture decisions to data architecture frameworks and data models
Maintain a repository of all data architecture artifacts and procedures
Collaborate with IT teams, software providers, and business owners to predict and devise data architecture that addresses business needs for collection, aggregation, and interaction with multiple data streams
Excellent communication and presentation skills (verbal, written, presentation) across all levels of the organization. Ability to translate ambiguous concepts into tangible ideas.
Hands on experience programming in Python, DBT and Airflow
Expertise with RDBMS and Data Warehousing (Strong SQL) with Snowflake or similar
In-depth knowledge and experience with data and information architecture patterns and implementation approaches for Operational Data Stores, Data Warehouses, Data Marts and Data Lakes
Experience administering and managing data infrastructure using Terraform.
Proficiency in logical/physical data architecture, design and development
Experience working with high volumes of data; experience in design, implementation and support of highly distributed data applications

Nice-to-haves

Experience in Data lake / Big data analytics platform implementation either cloud based or on-premise; AWS preferred
Experience evaluating and working with tools and vendors that support marketing measurement frameworks, including MMM and MTA, is a plus.
Experience using Claude or similar AI agents for development is a plus.
Experience with streaming data ingestion, machine-learning, Apache Spark a plus

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonsqlawsci/cdaiagile

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Pto

Paid Time Off

Wellness