Data Platform Engineer
Data Platform Engineer
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$ 175000 - 195000
1 Vacancy
Job Description
Position Title: Data Platform Engineer
Location: Hybrid South San Francisco (In-office M/W/F)
Position Type: Full-Time (Permanent)
Start Timeline: ASAP
Work Policy: Hybrid (3 days onsite)
Compensation: $175000 $195000 base $175000 equity (4-year vesting)
Why Join
High-impact role driving critical biotech workflows
Fast-paced startup with a strong technical and scientific team
Massive ownership over core data systems
Solve real-world problems with real-time logistics and sequencing data
Join a revenue-driven company scaling rapidly
Role Summary
Seeking a Data Platform Engineer to architect and manage data systems powering global sequencing
logistics lab operations and customer insight. This role combines backend engineering data
infrastructure and analytics to drive high-quality scalable performance. Ideal for engineers with
early-stage startup experience who want to own mission-critical systems and move fast in a technically
demanding environment.
Key Responsibilities
- Own and maintain pipelines aggregating lab throughput logistics and customer behavior
- Build backend infrastructure for real-time delivery coordination across 10 labs
- Maintain and optimize data warehouse architecture (Snowflake DBT etc.)
- Develop scalable tools to track operational performance quality and bottlenecks
- Translate raw data into actionable product and operational insights
- Collaborate with engineering science and business teams to align systems to workflows
- Lead root cause investigations into data anomalies or performance issues
Required Qualifications
- 5-10 years of experience in software or data engineering
- At least 2 years at a Seed to Series B company with <100 employees
- BS MS or PhD in Computer Science or related field from a top 40 U.S. university
- Proficiency in SQL (querying modeling optimization)
- Strong Python skills including data libraries (e.g. Pandas NumPy)
- Experience with ETL/ELT tools (e.g. DBT) Snowflake and web frameworks (e.g. Flask Django)
- Comfort working with Git and Linux-based environments
- Ownership mentality with a willingness to work in a high-intensity fast-paced setting
Preferred Qualifications
- Experience in biotech genomics or lab automation
- Built data platforms in logistics sequencing or operational analytics
- Prior founder or early engineer experience at a data-heavy startup
- Familiarity with BI tools like Sigma
- Demonstrated side projects with real-world impact
Employment Type
Full Time
