Senior/Principal Data Engineer (CONTRACT)

Company Addition Therapeutics is at the forefront of biotechnology innovation, advancing transformative therapies utilizing its proprietary PRINT™ (Precise RNA-mediated Insertion of Transgenes) platform. PRINT™ redefines genetic medicine by enabling development of RNA-only therapeutics capable of inserting any genetic element into specific safe harbor sites within the genome. Operating from state-of-the-art labs in South San Francisco, our team of experienced scientists and drug developers is leading scientific breakthroughs while cultivating a vibrant, dynamic culture committed to profoundly impacting patient lives. Job Description We’re looking for a Senior or Principal Data Engineer to design and implement the data infrastructure and systems that will power our data-driven discovery. You’ll play a defining role in how data is collected, organized, and made usable across the company. The ideal candidate will possess significant experience with developing data management systems and solutions in an early stage biotech environment. They will be highly collaborative and resourceful, with a keen interest in laying solid data foundations for future growth. This role has great potential to grow with the company, both technically and in scope of impact, and can contribute to paving the way for novel therapeutics that could redefine the landscape of genetic medicine. This role requires onsite presence at least 4 days per week. Responsibilities • Data Infrastructure Management: design, develop, and maintain data repositories. • Data Pipeline Development: build and maintain scalable data pipelines that extract, transform, and load (ETL) data from diverse sources. • Data Quality & Governance: ensure data accuracy, consistency, and reliability, and implement policies for data security and privacy. • System Monitoring & Optimization: monitor system performance, troubleshoot issues, and implement optimizations to improve the efficiency and reliability of data systems. • Collaboration: work closely with experimentalists to understand how data is generated, and with data scientists to understand that data is used - and then create data management solutions that are fit-for-purpose for both. Qualifications • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field. • 3+ years of experience in data engineering including time spent in a biotech R&D environment with a commitment to FAIR data practices. • Proven experience designing and maintaining ETL/ELT pipelines and cloud data architectures (e.g., AWS S3, Redshift, GCP BigQuery, Snowflake). • Proficiency in Python and SQL, and familiarity with tools such as dbt, Airflow, or Prefect. • Understanding of data modeling and best practices for structured and unstructured data. • Comfort working in a small, fast-moving company with minimal existing infrastructure. • Familiarity with modern development best practices - version control, testing, CI/CD, monitoring, and incident response. • A collaborative mindset — excited to partner with scientists, data scientists, and leadership. • (Bonus) Experience with omics data, LIMS systems (Benchling), or scientific data management. Compensation The expected hourly rate for this contract position is $95.00-$100.00/hour. Exact compensation may vary based on skills and experience. We are an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.