Data Engineer - Databricks Lakehouse AI-Ready Pipelines

Church & Dwight Co., Inc.; Ewing Township (NJ); Hybrid; USD 93,000 - 132,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Paid time off

Parental leave

401k with match

Employee stock purchase plan

Job summary

Church & Dwight Co., Inc. is seeking a Data Engineer to join the Analytics Engineering Group in Ewing, NJ. You will build and maintain ingestion frameworks, ELT pipelines, and data models that empower CHD business functions worldwide.

The role emphasizes a Databricks lakehouse architecture, metadata-driven design, data governance, and collaboration with analysts, scientists, and engineers across time zones. Hybrid work requires in-person presence Tue–Thu with remote Mon/Fri.

Qualifications

• Bachelor’s degree in CS/Math/Physics/Engineering or equivalent.
• 5+ years of data engineering experience including production ELT pipelines.
• Hands-on Databricks experience (Spark, Delta Lake, Unity Catalog).
• Experience with medallion architecture and data governance.
• Advanced Python (PySpark) and SQL; Git and CI/CD.

Responsibilities

• Build reusable, metadata-driven ingestion frameworks and batch/streaming ELT pipelines across Bronze, Silver, and Gold with quality gates.
• Design dimensional, normalized, and data vault models and curate Gold data products.
• Profile sources, implement data quality/reconciliation controls, and support MDM and lineage.
• Maintain semantic layer, catalog, lineage, and governance; extend access controls to AI use cases.
• Develop on Databricks (PySpark, Spark SQL, Delta Lake) and publish data via APIs and events.

Skills

Problem-solving

Clear communication

Standards-first mindset

Education

Bachelor’s degree in Computer Science, Mathematics, Physics, Engineering, or equivalent

Tools

Databricks (Spark, Delta Lake)

Python (PySpark)

SQL

Git & CI/CD

Job description

Church & Dwight Co., Inc. is seeking a Data Engineer to join the Analytics Engineering Group in Ewing, NJ. You will build and maintain ingestion frameworks, ELT pipelines, and data models that empower CHD business functions worldwide.

The role emphasizes a Databricks lakehouse architecture, metadata-driven design, data governance, and collaboration with analysts, scientists, and engineers across time zones. Hybrid work requires in-person presence Tue–Thu with remote Mon/Fri.