Data Platform Engineer

Overview

Hybrid
Depends on Experience
Full Time
No Travel Required

Skills

Seed to Series B company
Top 40 University
Strong SQL
Pandas
NumPy
ETL/ELT tools
DBT
Snowflake
Python web frameworks
Flask/Django
Git Versio Control
Linux

Job Details

Core Responsibilities

  • Design, own, and maintain data pipelines that aggregate lab throughput, logistics, and customer behavior

  • Build and scale backend infrastructure to support real-time delivery coordination across a global network of 10+ labs

  • Maintain, optimize, and evolve the data warehouse architecture using tools like Snowflake and DBT

  • Develop robust models and analytical tools to monitor performance, ensure quality, and identify bottlenecks

  • Convert raw, complex datasets into actionable insights that drive product and operational decision-making

  • Work cross-functionally with engineers, scientists, and business stakeholders to ensure data systems reflect real-world processes

  • Lead root-cause investigations when anomalies appear in data, identifying upstream issues and system dynamics

Required Qualifications

  • 5 10 years of experience in software or data engineering

  • At least 2 years working at a Seed to Series B startup with fewer than 100 employees

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

  • Deep expertise in SQL for querying, modeling, and performance tuning

  • Proficiency in Python and its core data libraries (e.g., Pandas, NumPy)

  • Hands-on experience with ETL/ELT tools such as DBT, data warehouses like Snowflake, and backend frameworks like Flask or Django

  • Comfortable using Git and working in Linux-based environments

  • Strong sense of ownership and the ability to thrive in high-intensity environments (60+ hours/week expected)

Preferred Qualifications

  • Experience in biotech, genomics, or lab automation environments

  • Built data platforms supporting logistics, sequencing pipelines, or operational analytics

  • Prior experience as a founder or early engineering hire at a data-driven startup

  • Familiarity with modern BI tools such as Sigma

  • Track record of personal or side projects with tangible real-world impact

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About SmartTech Staffing Partners