Data Engineer

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

A collective energy and ambition. A place where you can make a real difference. We’re a company that genuinely cares about our people, our products, our consumers and the environment. Our unique, informal culture champions courage, determination and collaboration. Knowing we have an open and supportive team means each of us has the freedom to take responsibility and ownership. We have a shared passion to work hard, innovate and push boundaries. United by the belief that when we strive for growth, anything is possible. While we might not be the largest company in our industry, we believe we can have the biggest impact because: Together We Have the Power to Win.

Role Summary

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

About the Role

The role centers on a Databricks lakehouse built on a Bronze/Silver/Gold medallion architecture, with an emphasis on reusable, metadata-driven engineering, strong governance, and AI-ready data. The Data Engineer will partner closely with analytics engineers, architects, data scientists, data stewards, and business analysts, and work across time zones with a global managed services team.

Work Environment Hybrid: This is a hybrid role based in Ewing, NJ, and requires in-person attendance on Tuesdays, Wednesdays, and Thursdays, with remote work options on Mondays and Fridays.

Role Accountabilities and Responsibilities

• Build reusable, metadata-driven ingestion frameworks and batch/streaming ELT pipelines that promote data through Bronze, Silver, and Gold with defined quality gates, incremental/CDC processing, and restartable, idempotent design
• Design dimensional, normalized, and data vault models, and build curated Gold data products with conformed dimensions that reconcile across regions and source systems
• Profile sources, implement automated data quality and reconciliation controls, and support master and reference data management
• Maintain the semantic layer, catalog, lineage, and business glossary with data stewards; extend classification, masking, and access controls to AI use cases
• Develop on Databricks (PySpark, Spark SQL, Delta Lake, Delta Live Tables, Workflows, Unity Catalog), optimizing performance and cost and contributing to disaster recovery planning
• Write tested, production-grade Python and SQL using Git, peer review, and CI/CD, with configuration managed as code
• Prepare AI-ready data, including feature tables, training data sets, and RAG content (chunking, embeddings, vector indexes)
• Publish governed data to operational systems through APIs, events, and reverse ETL, with versioned interface contracts
• Support production operations (monitoring, root cause analysis, service levels) and maintain documentation and runbooks for handoff to managed services

Skills and Competencies

• Strong problem-solving skills, with a focus on root cause over quick fixes
• Clear communication with both technical and non-technical partners
• A standards-first mindset that favors reusable frameworks and automation

Education and Experience

• Bachelor’s degree in Computer Science, Mathematics, Physics, Engineering, or equivalent experience required
• 5 + years of data engineering experience, including production ELT pipelines on a cloud data platform required
• Hands-on Databricks experience (Spark, Delta Lake, orchestration, Unity Catalog), preferably on Azure
• Experience building framework-based ingestion within a medallion architecture
• Advanced Python (including PySpark and automated testing) and SQL
• Strong data modeling skills across dimensional, normalized, and lakehouse patterns
• Practical data governance experience: profiling, data quality, MDM, catalog, and lineage
• Experience with Git and CI/CD for data assets

Preferred Qualifications

• 2+ years of Consumer Packaged Goods analytics experience preferred
• Broader Azure stack experience (ADLS, Data Factory, Fabric, Power BI); Databricks certification
• Governance or catalog tools such as Purview, Collibra, Alation, or Informatica
• Streaming (Kafka, Structured Streaming) and infrastructure as code
• Experience preparing data for ML or generative AI applications
• Experience on agile teams distributed across geographies

Compensation and Benefits

The U.S. base salary range for this full-time position is $92,500- $131,700. This position is also eligible for a bonus.

• medical
• dental
• vision
• basic life insurance
• paid vacation and sick time
• Paid Parental Leave
• paid holidays
• floating holidays
• vacation days starting in their first year of employment depending on hire date
• 401k retirement plan (with company match and profit-sharing)
• Discounted Employee Stock Purchase Plan

The actual base pay offered to the successful candidate will be based on multiple factors, including, but not limited to, job-related knowledge/skills, experience, business needs, geographical location, and internal pay parity. Compensation decisions are dependent upon the facts and circumstances of each position and candidate.

Church & Dwight is proud to be an Equal Opportunity Employer/Veterans/Individuals with Disabilities.

For more information on our company, our brands and our culture visit us at http://www.churchdwight.com/

Church & Dwight is a world-leader in household and personal care products. Our global brands include ARM & HAMMER®, Batiste, OxiClean, Trojan, XTRA, Nair, First Response, Spinbrush, Orajel, vitafusion, Li'l Critters, Water Pik and FLAWLESS®. Founded in 1846, we have operations globally and are listed in the S&P 500.