Data Engineer I, Operational Tech — Lab Data Pipelines

Initial Therapeutics, Inc.

Durham (NC)

On-site

USD 86,000 - 106,000

Full time

12 days ago

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Benefits offered by this job

Flexible time-off
401(k) matching
Medical, dental, and vision

Job summary

GRAIL is seeking an on-site Data Engineer in RTP, North Carolina. You will own end-to-end data ingestion from lab instruments and automation systems, transforming raw data into reliable datasets for analytics and AI systems. The role emphasizes data quality, orchestration, and collaboration with a fast-paced, regulated team.

Your work will involve building pipelines, optimizing SQL, and developing data models used in dashboards and AI-enabled workflows, with a focus on reliability and compliance.

Qualifications

  • Degree in Computer Science, Mathematics, Software Engineering, Data Science, Life Sciences, Physics or similar field.
  • 1+ years of relevant professional, internship, academic, or project experience in data engineering or related field.
  • Proficiency in SQL.
  • Programming in Python, Rust, C++, or similar.
  • Basic understanding of ETL/ELT pipelines and relational databases.
  • Strong attention to data quality, reliability and accuracy.
  • Ability to collaborate in cross-functional teams in a fast-paced environment.
  • Analytical mindset with problem-solving skills.

Responsibilities

  • Build and maintain data pipelines ingesting data from lab instruments and automation systems.
  • Support analytics, reporting, and AI systems with clean datasets and data extracts.
  • Develop and optimize SQL and transformation logic to model production data.
  • Create datasets and models for dashboards, analytics, and AI workflows.
  • Implement orchestration, testing, monitoring, and alerting for data quality.
  • Apply data validation and quality checks to ensure accuracy and completeness.
  • Document pipelines and data models for reproducibility and compliance.
  • Continuously improve engineering practices and skills.

Skills

SQL proficiency
Python
Rust/C++
ETL/ELT pipelines
Relational databases
Data quality
Cross-functional collaboration
Problem solving
Analytical mindset

Education

Bachelor’s degree in CS/Math/SE/Data Science/Life Sciences/Physics

Tools

Airflow
dbt
AWS S3
Redshift
Glue
Snowflake

Job description

GRAIL is seeking an on-site Data Engineer in RTP, North Carolina. You will own end-to-end data ingestion from lab instruments and automation systems, transforming raw data into reliable datasets for analytics and AI systems. The role emphasizes data quality, orchestration, and collaboration with a fast-paced, regulated team.

Your work will involve building pipelines, optimizing SQL, and developing data models used in dashboards and AI-enabled workflows, with a focus on reliability and compliance.

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