Senior Data Engineer

Weee! is the largest and fastest‑growing ethnic e‑grocer in the United States, operating in one of the largest underserved categories in retail with affordable access to exciting ethnic food. By partnering with local suppliers, redesigning the value chain and leveraging social buying, Weee! is reshaping the grocery business entirely. You can read more about us on Business Insider, Reuters and Tech Crunch.

Weee! is headquartered in Fremont, CA, and is currently available coast to coast with exceptional growth (5x YoY) across geographies, categories and ethnicities. We have raised $800M+ in funding to date from leading investors including Softbank Vision Funds, DST, Blackstone, Tiger Global, Lightspeed Ventures, Goodwater Capital, XVC and iFly. The opportunity now is to join a rocketship as we prepare for the next stage of growth, and an eventual public listing.

This role is onsite 5 days a week in Fremont, CA

We are looking for a Senior Data Engineer to strengthen our data infrastructure by cleaning and streamlining ETL processes, consolidating data systems, and ensuring system health and stability. In this role, you will be accountable for long‑term platform and pipeline improvements, developing internal data tools, and supporting engineering needs. You will play a key role in reducing data security risks and ensuring government compliance while maintaining cost efficiency.

• Pipeline & System Consolidation: Consolidate redundant pipelines, schemas, and tables; decommission unused pipelines and artifacts to streamline architecture.
• Data Governance & Quality: Enforce data quality, lineage, documentation, and governance standards across the organization.
• System Health & Optimization: Maintain system healthiness while controlling infrastructure costs; improve system performance, reliability, and observability.
• Tooling & Infrastructure: Improve the reliability and functionality of internal data tools and support U.S. day‑time engineering needs for infrastructure.

• Bachelor’s degree in Computer Science or a related field.
• 5+ years of experience building and maintaining production data pipelines.
• Exceptional SQL ability, including modifying and refactoring complex logic.
• Proficiency in Python or Java for data tooling and automation.
• Hands‑on experience managing AWS infrastructure (e.g., S3, Redshift, EC2, IAM).
• Experience with cloud‑based data platforms such as S3, Redshift, Big Query, or equivalent.
• Experience with enterprise data modeling and schema design.
• Experience with scalable orchestration frameworks (Airflow, Spark, Luigi, Git Lab CI, etc.).
• Strong understanding of pipeline requirements for model training and iterative research workflows.
• Ability to work in a fast‑paced start‑up environment and deliver excellent results requiring minimal supervision; cross‑functional and able to wear different hats at the same time.
• Self‑starter, detail‑oriented, eager to learn, and motivated by a passion for developing the best possible solutions to problems.
• Strong communication skills and ability to work with multiple stakeholders.

• DBA background or experience.
• Experience with Google Cloud products and internal APIs.
• Comprehensive health insurance package, including medical, dental, and vision. PPO/HMO packages.
• 401(k) with 4% company match.
• Equity and bonus.
• Vacation, sick and holiday time off.
• Monthly mobile stipend.
• Monthly Weee! Points credits.

• The U.S. base salary range for this full‑time position is $143,000 - $168,000.
• This role may be eligible for discretionary bonus, incentives and benefits.
• Our salary ranges are determined by role, level, and location.

The range displayed on each job posting reflects the minimum and maximum base salary for new hires for the position across all U.S. locations. Within the range, individual pay is determined by multiple factors like job‑related skills, experience and work locations. Your recruiter can share more about the specific salary range during the hiring process.

Please note that the compensation details listed in U.S. role postings reflect the base salary only, and do not include any variable…