Data Engineer
Lawrence Township · Lawrence Township, NJ · 6-10 years experience · Posted Oct 6, 2026
At a glance
- Experience
- 6-10 years experience
- Location
- Lawrence Township · Lawrence Township, NJ
About the role
- Seeking US Data Lead to manage delivery of data assets and data products end to end.
- This position is the technical point of contact for this work, translating business requirements from business partners into designed, built, tested, and released data products on Databricks.
Responsibilities
- Lead design, build, UAT, releases
- Partner with CASA data owners, domain leads, and business SMEs to translate data product scope into technical design and execution
- Produce core design artifacts: source-to-target mappings, analytical requirement documents, Bronze, Silver Gold-layer logical data models
- Apply platform standards for Unity Catalog cataloging, table design and clustering, performance tuning, data quality controls, and CI/CD through Git
- Perform data product data modeling
- Manage day-to-day work of an offshore engineering pod in Hyderabad, India including backlog grooming, task assignment, design review, and code review
- Provide technical direction to systems integrator and consulting partners working on the same domains, and hold their deliverables to company standards
- Review vendor work products against statement-of-work scope and flag gaps early
Requirements
- 6–10+ years in data engineering
- Databricks experience
- Strong data product and data modeling skills
- Demonstrated hands-on Databricks experience: PySpark, Spark SQL, Delta Lake, and experience with medallion architecture
- Experience with Unity Catalog: catalogs and schemas, access control, and data classification
- Experience leading distributed and offshore teams
- Advanced SQL, Python, and a Git-based development workflow
- Excellent written and verbal communication; able work independently with business stakeholders
Preferred qualifications
- Pharmaceutical or life sciences commercial data experience
- Familiarity with industry data sources such as IQVIA, Symphony Health, Komodo, Flatiron, specialty pharmacy and distributor data, Veeva CRM, and marketing or digital engagement platforms
- Understanding of commercial analytics use cases: field force performance, customer, patient journey and line of therapy
- Familiarity with data governance concepts: data ownership, stewardship, critical data elements, and data quality frameworks
- Experience in a regulated environment with audit, privacy, and access-control requirements
Skills
- Databricks
- PySpark
- Spark SQL
- Delta Lake
- Unity Catalog
- Git
- SQL
- Python
