Full-Time

Staff Data Engineer

Data Engineering

Posted on 8/19/2025

Recursion Pharmaceuticals

Recursion Pharmaceuticals

501-1,000 employees

Clinical-stage biotechnology company for drug discovery

Compensation Overview

$192.2k - $244k/yr

+ Bonus + Equity Compensation

Salt Lake City, UT, USA + 2 more

More locations: London, UK | New York, NY, USA

Hybrid

Relocation support is available for qualifying candidates.

Category
Data & Analytics (1)
Required Skills
Kubernetes
Python
Airflow
R
Machine Learning
Google Cloud Platform
Requirements
  • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field, or equivalent practical experience.
  • Minimum of 7+ years of experience in data engineering, with a strong focus on building and managing large-scale data pipelines.
  • Demonstrated experience with GCS, distributed data processing, and machine learning workflows.
  • Strong programming skills in Python. R is also a plus.
  • In-depth understanding of data warehousing, data lakes, and modern data architecture patterns.
  • Proven experience designing and implementing systems compliant with GxP regulations (e.g., GCP, GLP, GMP), 21 CFR Part 11, and other relevant regulatory frameworks.
  • Experience with workflow orchestration tools (e.g., Prefect, Camunda, Airflow)
  • Familiarity with cloud platforms, particularly Google Cloud Platform (GCP) and Kubernetes
  • Excellent problem-solving, analytical, and debugging skills.
  • Strong communication, collaboration, and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  • Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities.
Responsibilities
  • Architect and Implement Scalable Data Pipelines: Design, build, and maintain high-performance, fault-tolerant data pipelines for processing large-scale scientific and clinical datasets.
  • Drive Data Engineering Best Practices: Establish and champion best practices for data modeling, ETL/ELT processes, data quality, and data governance across late-stage discovery and clinical operations.
  • Enhance Workflow Orchestration: Leverage and extend our existing orchestration platforms (e.g., Camunda, Prefect) to integrate data pipelines seamlessly into end-to-end scientific and clinical workflows, ensuring automation and reliability.
  • Ensure GxP/GDPR/HIPAA Compliance: Design and implement data systems and processes that adhere to clinical regulations, 21 CFR Part 11, and other relevant industry standards, ensuring data integrity, auditability, and validation readiness.
  • Collaborate with Cross-Functional Teams: Partner closely with data scientists, clinical operations specialists, and other engineering teams to understand data needs, translate requirements into technical solutions, and ensure successful data delivery.
  • Optimize Data Performance and Cost: Continuously monitor, analyze, and optimize the performance and cost-efficiency of data processing and storage solutions.
  • Provide Technical Leadership and Mentorship: Act as a technical leader within the team, providing guidance, mentorship, and code reviews to junior and mid-level engineers, fostering a culture of excellence and continuous learning.
  • Troubleshoot Complex Data Issues: Lead the diagnosis and resolution of complex data-related issues, ensuring minimal disruption to scientific and clinical operations.
  • Contribute to Strategic Planning: Participate in the strategic planning and roadmap development for data engineering initiatives within the late-stage discovery and clinical domains.
Desired Qualifications
  • R is also a plus.
Recursion Pharmaceuticals

Recursion Pharmaceuticals

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Recursion is a clinical-stage biotechnology company utilizing a synchronized combination of hardware, software, and data to industrialize drug discovery and decode complex biology, reshaping the traditional drug discovery funnel through technological innovations. Their approach integrates biology, chemistry, automation, and data science to build a next-generation biopharmaceutical company.

Company Size

501-1,000

Company Stage

Post IPO Equity

Headquarters

Salt Lake City, Utah

Founded

2013

Growth & Insights

Headcount

6 month growth

1%

1 year growth

1%

2 year growth

1%
INACTIVE