Manager leading coordination between teams for data engineering at DPR Construction. Supporting core markets and account management through data analytics and technical delivery.
About the role
- Data Engineer responsible for data infrastructure and pipelines to support drug discovery efforts. Collaborating with scientists and engineers to facilitate data-driven insights in an innovative biotech startup.
Responsibilities
- Design and implement data pipelines that harmonize, validate, and version scientific data for downstream use in modeling and analysis
- Develop tools and schemas for integrating heterogeneous data types (chemical, image-based, genomic, etc)
- Build and maintain scalable data storage systems and APIs to make experimental and model-derived data accessible to scientists and machine learning teams
- Collaborate with ML Scientists to prepare and curate datasets for training and evaluating predictive models
- Partner with Software Engineers to surface clean, well-structured data to end users through our internal and customer-facing platforms
- Establish and enforce best practices for data governance, reproducibility, and lineage tracking
Requirements
- 4+ years of experience as a Data Engineer, ML Platform Engineer, or similar role
- Proficiency building and maintaining data pipelines and ETL processes in python (e.g. using orchestration tools such as Dagster, Airflow, or Prefect)
- Experience with cloud-based storage and compute (AWS S3, ECS, etc, or equivalent)
- Outstanding written and oral communication skills
- Interest in diving deep into the science of a drug discovery and the business of a growing startup
- Nice to have: Experience managing and working with scientific data, particularly in chemistry
Benefits
- Competitive salary and equity-based compensation
- Comprehensive healthcare benefits (including dental and vision)
- Opportunity to grow along with a rapidly scaling company
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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