Careers

Data Engineer

Location: United States

Employment Type: Part-Time

Role Overview

The Data Engineer is responsible for managing data ingestion, normalization, and lineage in support of genomic, transcriptomic, and assay datasets used by the platform. This role focuses on building and maintaining reliable data pipelines, ensuring data quality and traceability, and supporting scientific and machine learning teams with well-structured, dependable datasets.

Key Responsibilities

Build and maintain data pipelines and ingestion workflows for diverse biological and analytical datasets.
Manage dataset versioning, provenance, and lineage to ensure traceability and reproducibility.
Support data quality, integrity, and consistency across data sources.
Collaborate with machine learning and bioinformatics teams to align data structures with analytical needs.
Monitor and troubleshoot data pipeline issues and performance.
Document data workflows, schemas, and operational processes.

Required Qualifications

Professional experience in data engineering or data pipeline development.
Experience building and maintaining ETL or data ingestion workflows.
Familiarity with data versioning, provenance, and quality assurance practices.
Ability to work with structured and semi-structured datasets.
Strong attention to detail and data integrity.
Experience collaborating with technical and scientific teams.
Ability to work part-time in a structured, milestone-driven environment.

Preferred Qualifications

Experience working with biological, genomic, or scientific datasets.
Familiarity with data platforms used in analytics or machine learning workflows.
Experience supporting data-intensive or research-driven environments.
Exposure to cloud-based data infrastructure.