Staff Data Engineer - Science
$154,400–$231,600 year
On-site · La Jolla, California, United States
Job Summary
As a Staff Data Engineer at Exact Sciences, you will lead the design, development, and testing of complex software applications in a team environment, emphasizing collaboration and mentorship for junior engineers. Key responsibilities include developing robust IT solutions for data analytics, implementing database architectures, and utilizing advanced troubleshooting techniques. You will possess in-depth technical expertise in data modeling, ETL processes, and various Big Data technologies. Required qualifications include a Bachelor's Degree or equivalent experience, proficiency in programming languages like Python and Scala, and experience with cloud infrastructure and agile development tools. You will contribute to achieving organizational goals through solid decision-making and a commitment to quality.
Required Qualifications
- Bachelor’s Degree in Data Science, Computer Science, Information Systems, Mathematics, or Engineering; or High School Diploma/General Education Degree and 12 years of relevant experience as outlined in the essential duties in lieu of Bachelor’s Degree
- Spark on Snowflake or Databricks
- Python, Scala, SQL development
- ETL data pipelines
- Designing and implementing data modeling solutions using relational, dimensional, and/or NoSQL databases
- Database architecture testing methodology, including execution of test plans, debugging, and testing scripts and tools
- Multiple Big Data file formats (Parquet, Avro, Delta Lake)
- Cloud Infrastructure services (i.e., AWS, SQS, S3, and GitLab)
- Agile development tools; including, but not limited to, JIRA, Confluence repository
- RestAPI development
- Tableau, ideally including performance optimization
Desired Qualifications
- Experience partnering with scientific research teams, such as biomarker discovery, computational biology, or clinical affairs
- Expertise in CI/CD best practices for data pipelines, including git-based workflows (Github/Gitlab), automated testing, and deployment strategies
- Advocate of test-driven development
- Experience integrating and processing real-world data (RWD), including electronic health records (EHR) and claims data, to support longitudinal patient analysis and clinical evidence generation
- Experience with data governance, security, and compliance best practices (RBAC, GDPR, HIPAA)
Additional Requirements
- All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, and any other status protected by applicable local, state, or federal law.
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