Senior Data Engineer - Databricks Lakehouse & AI-Ready Data

Church & Dwight Co., Inc.; Princeton (ME); Hybrid; USD 93,000 - 132,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Life Insurance

Paid vacation & sick time

Parental Leave

Holidays

Floating holidays

Vacation days first year

401k with company match

Employee Stock Purchase Plan

Job summary

Church & Dwight is seeking a Data Engineer to join our Analytics Engineering Group. The role builds and maintains ingestion frameworks, ELT pipelines, data models, and curated data products that deliver insight to CHD business functions worldwide.

Based in a hybrid environment in Ewing, NJ, you will partner with analytics engineers, data scientists, and business analysts across time zones. You’ll work on a Databricks lakehouse with governance and AI-ready data, writing Python and SQL and

Qualifications

• Bachelor's degree in CS, Math, Physics, or engineering or equivalent.
• 5+ years of data engineering experience with production ELT pipelines on the cloud.
• Hands-on Databricks experience (Spark, Delta Lake, Unity Catalog).
• Strong Python and SQL skills with automated testing.

Responsibilities

• Build ingestion frameworks and ELT pipelines with Bronze-Silver-Gold.
• Design dimensional and data vault models with conformed dimensions.
• Maintain semantic layer, catalog, lineage, and governance.
• Publish data to APIs and downstream systems with versioned interfaces.

Skills

Databricks

Python

SQL

ELT pipelines

Data governance

Git & CI/CD

Data modeling

Azure

Education

Bachelor’s degree in CS/Math/Engineering

Tools

Azure Databricks

Delta Lake

Unity Catalog

Git

CI/CD tools

Job description

Church & Dwight is seeking a Data Engineer to join our Analytics Engineering Group. The role builds and maintains ingestion frameworks, ELT pipelines, data models, and curated data products that deliver insight to CHD business functions worldwide.

Based in a hybrid environment in Ewing, NJ, you will partner with analytics engineers, data scientists, and business analysts across time zones. You’ll work on a Databricks lakehouse with governance and AI-ready data, writing Python and SQL and