Data Engineer
Role Overview
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.
Key Skills for This Role
Full Job Posting
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
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.
- 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/
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/
About Church & Dwight Co., Inc.
Public U.S. consumer packaged goods manufacturer serving households and businesses with household, personal-care, and specialty products.
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