{"id":3224562,"url":"https://alion.io/job/church-dwight-data-engineer","title":"Data Engineer","company":{"id":2037950,"name":"Church & Dwight","domain":"churchdwight.com","url":"https://alion.io/company/trojanbrands","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":19,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Princeton, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":92500,"max":131700,"currency":"USD","period":"year","gross":null,"usd_annual":131700},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Data Vault","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Alation","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Azure Data Factory","optional":true},{"name":"Collibra","optional":true},{"name":"Informatica","optional":true},{"name":"Power BI","optional":true}],"status":"live","first_seen_at":"2026-10-23T00:00:00Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-28T21:19:40Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"A collective energy and ambition. A place where you can make a real difference.\nWe’re a company that genuinely cares about our people, our products, our consumers and the environment.\nOur 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.\nUnited 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.\nRole Summary\nChurch & 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..\nAbout the Role\nThe 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.\nThe 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.\n\nWork Environment\nHybrid: 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.\n\nRole Accountabilities and Responsibilities\nBuild 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\nDesign dimensional, normalized, and data vault models, and build curated Gold data products with conformed dimensions that reconcile across regions and source systems\nProfile sources, implement automated data quality and reconciliation controls, and support master and reference data management\nMaintain the semantic layer, catalog, lineage, and business glossary with data stewards; extend classification, masking, and access controls to AI use cases\nDevelop on Databricks (PySpark, Spark SQL, Delta Lake, Delta Live Tables, Workflows, Unity Catalog), optimizing performance and cost and contributing to disaster recovery planning\nWrite tested, production-grade Python and SQL using Git, peer review, and CI/CD, with configuration managed as code\nPrepare AI-ready data, including feature tables, training data sets, and RAG content (chunking, embeddings, vector indexes)\nPublish governed data to operational systems through APIs, events, and reverse ETL, with versioned interface contracts\nSupport production operations (monitoring, root cause analysis, service levels) and maintain documentation and runbooks for handoff to managed services\nSkills and Competencies\nStrong problem-solving skills, with a focus on root cause over quick fixes\nClear communication with both technical and non-technical partners\nA standards-first mindset that favors reusable frameworks and automation\n\nEducation and Experience\nRequired Qualifications\nBachelor’s degree in Computer Science, Mathematics, Physics, Engineering, or equivalent experience required\n5 + years of data engineering experience, including production ELT pipelines on a cloud data platform required\nHands-on Databricks experience (Spark, Delta Lake, orchestration, Unity Catalog), preferably on Azure\nExperience building framework-based ingestion within a medallion architecture\nAdvanced Python (including PySpark and automated testing) and SQL\nStrong data modeling skills across dimensional, normalized, and lakehouse patterns\nPractical data governance experience: profiling, data quality, MDM, catalog, and lineage\nExperience with Git and CI/CD for data assets\nPreferred Qualifications\n2+ years of Consumer Packaged Goods analytics experience preferred\nBroader Azure stack experience (ADLS, Data Factory, Fabric, Power BI); Databricks certification\nGovernance or catalog tools such as Purview, Collibra, Alation, or Informatica\nStreaming (Kafka, Structured Streaming) and infrastructure as code\nExperience preparing data for ML or generative AI applications\nExperience on agile teams distributed across geographies\nCompensation and Benefits\nThe U.S. base salary range for this full-time position is $92,500- $131,700. This position is also eligible for a bonus.\nAs 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.\nThe 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.\nChurch & Dwight is proud to be an Equal Opportunity Employer/Veterans/Individualswith Disabilities.\nFor more information on our company, our brands and our culture visit us at http://www.churchdwight.com/","description_format":"text","description_chars":5585,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Life insurance","Parental leave","Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cleaning & Household Products","Personal Hygiene & Toiletries","OTC & Consumer Health Products","FMCG & Consumer Brand Groups"],"lifecycle":[{"event":"open","at":"2026-10-25T04:54:50Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":5,"expected_fill_days":19,"reasons":["conf:2","velocity","win:early"],"computed_at":"2026-10-28T05:59:10Z"},"pay":{"stated_usd_annual":131700,"is_top_pay":false},"html_url":"https://alion.io/job/church-dwight-data-engineer","json_url":"https://alion.io/job/church-dwight-data-engineer.json","meta":{"generated_at":"2026-10-29T01:47:52Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":2724,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-30T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2037950},"rest":"https://alion.io/mcp/rest/get_company?id=2037950"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fchurch-dwight-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fchurch-dwight-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fchurch-dwight-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/church-dwight-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fchurch-dwight-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3224562}},{"tool":"search_jobs","arguments":{"company":"churchdwight.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3224562},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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