ACT Consulting has an immediate need for Data Platform Engineer with our direct clientACT Consulting is a leader in the staffing industry providing candidates on a national basis for contract to hire and direct hire engagements while maintaining the highest regard for people, integrity, and customer satisfaction. Our clients are comprised mostly of Fortune 1000 companies primarily in the areas of Information Technology, Engineering, Professional, Accounting, and Finance.

Please take a moment to review the job description. If this is something you are interested in please send a copy of your resume to jerald@act-info.com or contact me directly at 203-717-2344.

Job Title: ACT000016 - Data Platform Engineer Location: South San Francisco Duration: Full-Time Experience: 5–10 years of experience in software or data engineering Pay Rate/Salary: $$175,000 – $195,000

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 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