Data Engineer

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

## Data EngineerApply: USA, Ewing, NJ: Full time: Posted Yesterday: R2026-15824A 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** **Required Qualifications*** 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. As a Church & Dwight US employee, you (and eligible dependents, as applicable) will have access to medical, dental, vision, basic life insurance, paid vacation and sick time, and Paid Parental Leave. U.S. employees are entitled to paid holidays, floating holidays, and vacation days starting in their first year of employment depending on hire date. You are also able to participate in our 401k retirement plan (with company match and profit-sharing) and 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. #LI-HybridChurch & Dwight is proud to be an Equal Opportunity Employer/Veterans/Individuals with Disabilities.