Talent Job Seeker
Data Platform Engineer
- directions_car San Francisco
- work Full-time
About the position
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: $175,000 $195,000 base + ~$175,000 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
Place of work
San Francisco
app.general.countries.United States
About the company
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Relevant places near
- San Francisco
- Oakland
- Berkeley
- Richmond
- Daly City
- Chinatown
- Alameda
- South San Francisco
- Mission District
- San Bruno
Job ID: 9714553
/ Ref: a219d41fc87aeffba2e06d4590768256