Data Engineer

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

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-Hybrid

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/