Junior Data Engineer

O2 Technologies,Inc; Cambridge (MA); On-site; USD 120,000 - 160,000; Full time

Job summary

O2 Technologies,Inc is seeking a data engineer specializing in scientific data integration to build and maintain end-to-end pipelines for bioinformatics and cheminformatics data. You will ensure data quality, governance, and lineage while enabling cross-functional collaboration across biotech teams.

The role leverages Generative AI tools to accelerate engineering workflows and deploy cloud-based data solutions on AWS, enabling scalable analyses and reproducible research.

Qualifications

• Bachelor's degree in relevant fields or equivalent experience.
• Experience in biotech/life sciences data contexts is a plus.
• Strong collaboration across research, IT, and product teams.

Responsibilities

• Develop and maintain data pipelines for scientific data.
• Enforce data quality standards and metadata governance.
• Manage data lineage and ensure reproducibility of analyses.
• Coordinate with bioinformatics and cheminformatics teams.
• Apply Generative AI tooling to accelerate engineering workflows.
• Support cloud data architecture on AWS (S3/Redshift/Athena).

Skills

Scientific Data Integration

Relational & Dimensional Data Modeling

Data Pipeline Development

Data Quality Management

Metadata & Data Lineage Management

Cross-functional Stakeholder Communic

Generative AI-Accelerated Engineering

Cloud Data Engineering

Education

Bachelor's Degree in CS/DS/Bioinformatics

Master's Degree in DS/Bioinformatics/CS

PhD in Bioinformatics/Biomedical Sciences

Tools

Python

SQL

AWS (S3 / Redshift / Athena)

Dagster

dbt

Spark

Iceberg

Polars

Git

Claude Code / GPT

Soda

Great Expectations

Job description

• Scientific Data Integration (Bioinformatics / Cheminformatics)
• Relational & Dimensional Data Modeling
• Cross-functional Stakeholder Communication
• Generative AI-Accelerated Engineering

Key Responsibilities & Skills

• Data Pipeline Development & Maintenance
• Data Quality Management & Standards
• Metadata & Data Lineage Management
• Scientific Data Integration (Bioinformatics / Cheminformatics)
• Relational & Dimensional Data Modeling
• Cross-functional Stakeholder Communication
• Generative AI-Accelerated Engineering
• Cloud Data Engineering (AWS)

Technical Skills

• Python
• SQL
• AWS (S3 / Redshift / Athena)
• Dagster / dbt / Spark / Iceberg / Polars
• Git
• Generative AI Tools (Claude Code / GPT)
• Data Quality Tools (Soda / Great Expectations)

Education

Bachelor's Degree in Computer Science, Data Science, Bioinformatics, Biomedical Engineering, Biotechnology, Molecular Biology, Information Systems. Preferred: Master’s in Data Science, Master’s in Bioinformatics, Master’s in Computer Science, PhD in Bioinformatics, PhD in Biomedical Sciences.

Industry Experience

• Biotech
• Life Sciences
• Healthcare
• Bioinformatics
• Clinical Research