{"id":3172271,"url":"https://alion.io/job/harpercollins-publishers-data-engineer-remote-us","title":"Data Engineer (remote US)","company":{"id":456054,"name":"HarperCollins Publishers","domain":"harpercollins.com","url":"https://alion.io/company/harpercollins-publishers","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":{"grade":"A","score":100,"open_postings":3,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":15,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":120000,"max":130000,"currency":"USD","period":"year","gross":null,"usd_annual":130000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"MS SQL","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"SSIS","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-23T18:54:24Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-28T13:46:40Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Overview\nHarperCollins is seeking a Data Engineer to join our Data Management & Engineering team. The successful candidate will be responsible for developing, maintaining, and supporting enterprise data integration processes and pipelines across both on-premises SQL Server and Microsoft Azure environments.\nThis role will support the ongoing modernization of legacy data processing solutions into cloud-based architecture, leveraging Microsoft Fabric, Azure Data Lake, and enterprise Data Products.\nThe ideal candidate will have strong SQL and data engineering skills, hands-on experience with Azure technologies, and the ability to translate business requirements into reliable, scalable, and well-documented technical solutions.\nThe position requires close collaboration with Data Governance, business stakeholders, application teams, and other engineering resources to ensure data is processed accurately, efficiently, and consistently across enterprise platforms.\nResponsibilities\nData Engineering & Cloud Development\nDesign, develop, and maintain data pipelines using Microsoft Fabric, Azure Data Factory, and related Azure technologies.\nDevelop Python, PySpark, and SQL notebooks for data ingestion, transformation, and processing across Bronze, Silver, and Gold layers.\nIntegrate data from multiple sources, including files, databases, APIs, and enterprise applications.\nImplement data transformations, enrichment, aggregations, and business rules based on approved specifications.\nOptimize pipelines and SQL queries for performance, reliability, and scalability.\nDevelop and maintain enterprise Data Products in collaboration with Data Governance.\nLegacy System Support, Data Processing & Operations\nMaintain on-premises SQL Server databases, stored procedures, and ETL processes while supporting their migration to Azure and Microsoft Fabric.\nDevelop and maintain automated, rule-based processing workflows, including queue-driven processing and batch orchestration.\nManage file-based ingestion, feed tracking, processing status, and downstream data distribution.\nImplement data validation, reconciliation, logging, monitoring, and exception handling.\nMonitor production pipelines, troubleshoot failures and data discrepancies, and implement corrective actions.\nEnsure continuity, reliability, and timely delivery of business-critical data processes\nBusiness Collaboration, Technical Documentation & Quality\nCollaborate with business stakeholders and Data Governance to understand requirements, data definitions, business rules, and approved Data Product specifications.\nTranslate business requirements into technical designs, identifying source data gaps, dependencies, and process improvements.\nMaintain technical documentation, including data flows, source-to-target mappings, transformation logic, and operational procedures.\nPerform unit and integration testing, support QA and business sign-off, and adhere to established development, deployment, and Data Governance standards.\nQualifications\nEducation & Experience\nBachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline.\n3-5+ years of hands-on experience in data engineering, database development, or enterprise data integration in building pipelines, migrating data and modernization of environments. \nTechnical Skills:\nSQL & Data Engineering: Strong proficiency in SQL Server, T-SQL, stored procedures, query optimization, and ETL/ELT development.\nAzure & Microsoft Fabric: Hands-on experience with Azure Data Factory, Azure Data Lake Storage, and Microsoft Fabric, including Data Pipelines, Lakehouse, and Notebooks.\nProgramming & Data Architecture: Proficiency in Python and/or PySpark, with an understanding of data warehousing, relational data modeling, and Medallion Architecture.\nIntegration & Operations: Experience with file-based integrations, batch processing, queue-driven workflows, data validation, monitoring, troubleshooting, and production support. Familiarity with SSIS or legacy ETL tools is an asset.\nPreferred Qualifications: Experience modernizing legacy data platforms and relevant Microsoft certifications are considered assets.\nAdditional Skills:\nStrong communication and collaboration skills, with the ability to engage business stakeholders, Data Governance, and technical teams to translate requirements into effective solutions.\nStrong analytical and problem-solving abilities, with attention to data accuracy, quality, and operational reliability\nHarperCollins Publishers is a company full of people who are passionate about books. When you apply for a position, we want to know why you want to work here, and why you are interested in the job. That’s why cover letters are strongly preferred.\nThe salary range for this position is $120,000-$130,000. We recognize that attracting the best talent is key to our strategy and success as a company. As a result, we aim for flexibility in structuring competitive compensation offers to ensure we are able to attract the best candidates. The quoted salary range represents our good faith estimate as to what our ideal candidates are likely to expect, and we tailor our offers within the range based on the selected candidate's experience, industry knowledge, technical and communication skills, and other factors that may prove relevant during the interview process.\nIn addition to cash compensation, the company provides a comprehensive and highly competitive benefits package, with a variety of physical health, retirement and savings, caregiving, emotional wellbeing, transportation, and other benefits, including \"elective\" benefits employees may select to best fit the needs and personal situations of our diverse workforce. Visit our careers webpage for more information.\nHarperCollins Publishers is an equal opportunity employer.\nHarperCollins Publishers is committed to providing reasonable accommodation for qualified individuals with disabilities, in our job application and/or interview process. If you need assistance or accommodation in completing your application, due to a disability, email us at . 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