{"id":2938119,"url":"https://alion.io/job/the-campbells-company-data-engineer","title":"Data Engineer","company":{"id":2480748,"name":"The Campbell's Company","domain":"thecampbellscompany.com","url":"https://alion.io/company/thecampbellscompany","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":20,"ghost_share":0,"stale_share":0.75,"repost_share":0,"time_to_fill_p50_days":33,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Camden, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":110900,"max":152500,"currency":"USD","period":"year","gross":null,"usd_annual":152500},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true}],"status":"closed","first_seen_at":"2026-10-20T16:36:28Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-22T04:55:44Z","board_verified":false,"closed_at":"2026-10-22T04:55:44Z","days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Since 1869, we've connected people through food they love. We’re proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell’s brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao’s Homemade, Snack Factory, Snyder’s of Hanover. Swanson, and V8.\nHere, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.\nWhy Campbell’s…\nBenefits begin on day one and include medical, dental, short and long-term disability, AD&D, and life insurance (for individual, families, and domestic partners).\nEmployees are eligible for our matching 401(k) plan and can enroll on the first day of employment with immediate vesting.\nCampbell’s offers unlimited sick time along with paid time off and holiday pay.\nIf in WHQ - free access to the fitness center. Access to on-site day care (operated by Bright Horizons) and company store.\nGiving back to the communities where our employees work and live is very important to Campbell’s. Our “Campbell’s Cares” program matches employee donations and/or volunteer activity up to $1,500 annually.\nCampbell’s has a variety of Employee Resource Groups (ERGs) to support employees.\nHow You Will Make History Here…\nAs a Data Engineer, you will be an integral part of the DA & AI team, supporting the design, development, and operation of enterprise data solutions on the Azure Databricks platform. In this role, you will work closely with senior data engineers, solution architects, and business partners to build reliable data pipelines, contribute to analytics-ready data products, and grow your technical skills in a collaborative, learning-focused environment. This position is ideal for an early-career engineer looking to develop hands-on experience with modern cloud data platforms at enterprise scale.\nThe Company is only considering candidates who do not, now or in the future, require employer sponsorship to legally work in the United States.\nWhat You Will Do\nCollaborate with solution architects and senior data engineers to understand data solution designs supporting projects and continuous improvement initiatives.\nPartner with business stakeholders and analysts to understand data and analytics needs, translating them into technical tasks with guidance.\nDesign, build, and maintain data pipelines in Azure Databricks for ingestion, transformation, and validation of enterprise data.\nIntegrate data from multiple source systems into the Azure data lakehouse using established frameworks and best practices.\nContribute to technical documentation, including data flow diagrams, pipeline documentation, and runbooks.\nParticipate in code reviews, learning and applying development standards and best practices.\nSupport software deployments across development, test, and production environments using CI/CD pipelines.\nAssist with data quality, governance, and cataloging activities in collaboration with Security and Data Governance teams.\nHelp transition completed solutions to support teams with appropriate documentation.\nContinuously learn new tools, patterns, and technologies in the data and analytics ecosystem.\nUse Azure DevOps (ADO) to manage work items, track progress, and collaborate with team members.\nWhat You Bring to the Table… (Must Have)\nBachelor’s degree in Computer Science, Data Engineering, Data Science, or a related field.\n4+ years of experience in data engineering, analytics engineering, or a related role.\nHands-on experience or strong working knowledge of Azure Databricks, including Python and/or PySpark and Databricks SQL.\nFamiliarity with Azure Data Factory and Azure Data Lake Storage (ADLS).\nWorking knowledge of SQL for data querying and transformation.\nExposure to Business Intelligence tools such as Power BI.\nStrong analytical and problem-solving skills with attention to detail.\nAbility to learn quickly, apply feedback, and work effectively in a collaborative team environment.\nClear written and verbal communication skills.\nNice to Have… (Preferred)\nExperience with CI/CD pipelines in Azure DevOps.\nExposure to data governance, metadata management, or data catalogs.\nFamiliarity with enterprise scheduling or orchestration tools (e.g., Stonebranch or similar).\nDatabricks or Azure certifications (completed or in progress).\nExposure to Snowflake or other cloud data platforms\nPrefer candidates to be able to work at HQ in Camden, NJ (hybrid 3 days week) but open to fully remote for the right candidate. Must be able to work East Coast Hours\nCompensation and Benefits:\nThe target base salary range for this full-time, salaried position is between\n$110,900-$152,500Individual base pay depends on work location and additional factors such as experience, job-related skills, and relevant education or training. Total pay may include other forms of compensation. In addition, we offer competitive health, dental, 401k and wellness benefits beginning on the first day of employment. Please ask your Talent Acquisition Partner for more information about our total rewards package.\nThe Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.","description_format":"text","description_chars":5560,"description_truncated":false,"requirements":{"experience_years_min":4,"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"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Food & Beverages"],"lifecycle":[{"event":"open","at":"2026-10-20T16:36:28Z"},{"event":"close","at":"2026-10-22T04:55:44Z"}],"visa":[],"liveness":null,"pay":{"stated_usd_annual":152500,"is_top_pay":true},"html_url":"https://alion.io/job/the-campbells-company-data-engineer","json_url":"https://alion.io/job/the-campbells-company-data-engineer.json","meta":{"generated_at":"2026-10-25T11:22:29Z","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":16469,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"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":2480748},"rest":"https://alion.io/mcp/rest/get_company?id=2480748"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fthe-campbells-company-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%2Fthe-campbells-company-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%2Fthe-campbells-company-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/the-campbells-company-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fthe-campbells-company-data-engineer"}]}