Data Platform Engineer

Overview

On Site
Depends on Experience
Full Time

Skills

SQL (query tuning
relational schema design)
Python (NumPy
Pandas
Flask
Django)
DBT
Snowflake
Git
Linux command line
modern data stack tools
and dashboarding platforms like Sigma and Metabase.

Job Details

Job Title: Data Platform Engineer
Location: South San Francisco, CA (Hybrid Onsite Mon/Wed/Fri)
Travel: 0%

Key Responsibilities

  • Design and maintain scalable, high-throughput data pipelines for sequencing and logistics workflows.
  • Develop clean and future-proof data models to support diverse scientific and business needs.
  • Monitor pipeline performance, detect anomalies, and proactively drive resolution.
  • Collaborate with scientists, engineers, and product leaders to transform raw data into actionable insights.
  • Architect backend systems to support the real-time operation of our global delivery network.

Qualifications

Required Experience

  • 5 10 years in data or software engineering.
  • At least 2 years at a Seed to Series B startup (<100 employees) contributing to measurable growth.
  • Proven ability to work independently in a high-output environment.

Education

  • BS, MS, or PhD in Computer Science (or related field) from a top-tier U.S. university (Top 40).

Technical Expertise

  • SQL: Deep understanding of query tuning and relational schema design.
  • Python: Strong with numpy, pandas, and web frameworks such as Flask or Django.
  • Experience with DBT, Snowflake, or equivalent modern data stack tools.
  • Git, Linux command line proficiency.
  • Experience with dashboarding tools like Sigma, Metabase, or similar.

Mindset & Traits

  • Builder mentality with a figure-it-out attitude.
  • Ability and willingness to work 60+ hour weeks when required.
  • Excellent communicator with both technical and non-technical stakeholders.
  • Track record of owning and shipping impactful data systems at early-stage companies.
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