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 SummaryChurch & 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 RoleThe 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 EnvironmentHybrid: 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 ResponsibilitiesBuild 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 designDesign dimensional, normalized, and data vault models, and build curated Gold data products with conformed dimensions that reconcile across regions and source systemsProfile sources, implement automated data quality and reconciliation controls, and support master and reference data managementMaintain the semantic layer, catalog, lineage, and business glossary with data stewards; extend classification, masking, and access controls to AI use casesDevelop on Databricks (PySpark, Spark SQL, Delta Lake, Delta Live Tables, Workflows, Unity Catalog), optimizing performance and cost and contributing to disaster recovery planningWrite tested, production-grade Python and SQL using Git, peer review, and CI/CD, with configuration managed as codePrepare 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 contractsSupport production operations (monitoring, root cause analysis, service levels) and maintain documentation and runbooks for handoff to managed servicesSkills And CompetenciesStrong problem-solving skills, with a focus on root cause over quick fixesClear communication with both technical and non-technical partnersA standards-first mindset that favors reusable frameworks and automationEducation And ExperienceRequired QualificationsBachelor’s degree in Computer Science, Mathematics, Physics, Engineering, or equivalent experience required5 + years of data engineering experience, including production ELT pipelines on a cloud data platform requiredHands-on Databricks experience (Spark, Delta Lake, orchestration, Unity Catalog), preferably on AzureExperience building framework-based ingestion within a medallion architectureAdvanced Python (including PySpark and automated testing) and SQLStrong data modeling skills across dimensional, normalized, and lakehouse patternsPractical data governance experience: profiling, data quality, MDM, catalog, and lineageExperience with Git and CI/CD for data assetsPreferred Qualifications2+ years of Consumer Packaged Goods analytics experience preferredBroader Azure stack experience (ADLS, Data Factory, Fabric, Power BI); Databricks certificationGovernance or catalog tools such as Purview, Collibra, Alation, or InformaticaStreaming (Kafka, Structured Streaming) and infrastructure as codeExperience preparing data for ML or generative AI applicationsExperience on agile teams distributed across geographiesCompensation And BenefitsThe 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/