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Senior Data Engineer
Thrive MarketLos Angeles, United StatesRemotefull_timeVerifiedPosted 18 Mar 2025
💰 $190,000/yr($160,000/yr – $190,000/yr)
About the role
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 1,600,000+ 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 can work cross-functionally with other engineering teams.
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 1,600,000+ 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 can 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 by 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 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
- Hands on experience programming in Python, Scala or Java
- Expertise with RDBMS and Data Warehousing (Strong SQL) with Redshift,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
- 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 with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration E.g. GitHub, Jenkins, Concourse, Airflow, Terraform
- Experience with writing Kafka producers and consumers or experience with AWS Kinesis
- Hands-on experience developing a distributed data processing platform with Big Data technologies like Hadoop, Spark etc
- 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 dat
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