Staff Data Engineer

Johnson & Johnson · Raynham, MA +5 more

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IT & SoftwareFull-time$94k–$152kCompany career page

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Role summary

Staff Data Engineer role at Johnson & Johnson's Orthopedics Supply Chain, focused on building modern data infrastructure using Databricks and AWS. The position involves leading lakehouse architecture design, data pipeline development, and cross-functional collaboration to deliver analytics and AI-ready data products.

What they're looking for

Expert proficiency with Databricks, AWS, Python, SQL, and Spark technologies
Demonstrated experience designing and implementing complex data pipelines and lakehouse architectures
Strong background in data engineering standards, CI/CD practices, and data quality frameworks
Proven ability to lead technical architecture discussions and mentor engineering teams
Experience with orchestration tools such as Apache Airflow and data modeling frameworks like dbt
Track record translating business requirements into scalable technical solutions

What you'll be doing

Provide technical leadership for modernizing enterprise data ecosystem through lakehouse architecture and cloud capabilities
Design and develop complex data pipelines using Databricks, AWS, PySpark, and Delta Lake for batch, streaming, and event-driven use cases
Lead architecture and design discussions ensuring solutions meet standards for scalability, reliability, security, and cost efficiency
Coordinate with Product Owners, data governance, AI/ML teams, and external partners to align delivery with business outcomes
Mentor engineers and contractors through design reviews, code reviews, and architecture guidance while establishing engineering standards

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