Data Platform EngineerGulf Coast Automation Group • San Francisco, California, United States
Data Platform Engineer
Gulf Coast Automation Group • San Francisco, California, United States
[job_card.30_days_ago]
[job_preview.job_type]
- [job_card.full_time]
- [job_card.permanent]
[job_card.job_description]5-10 years of experience in software or data engineering At least 2 years at a Seed to Series B company with 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 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
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
Preferred Qualifications
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