Data Engineer

Job not on LinkedIn

🔥 5 minutes ago

🇺🇸 United States – Remote

💵 $120k - $130k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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HarperCollins Publishers

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1817

👥 B2C

📱 Media

🛍️ eCommerce

B2C • Media • eCommerce

HarperCollins Publishers is a leading global publishing house committed to supporting authors and delivering diverse narratives that resonate with readers worldwide. With a rich history dating back to 1817, HarperCollins offers a wide range of books across various genres including biographies, cookbooks, fiction, and children's literature. The company focuses on promoting creativity and innovation within a welcoming culture, fostering connections among authors, employees, and the community.

📋 Description

• Design, develop, and maintain data pipelines using Microsoft Fabric, Azure Data Factory, and related Azure technologies • Develop Python, PySpark, and SQL notebooks for data ingestion, transformation, and processing across Bronze, Silver, and Gold layers • Integrate data from files, databases, APIs, and enterprise applications • Implement data transformations, enrichment, aggregations, and business rules • Optimize pipelines and SQL queries for performance, reliability, and scalability • Develop and maintain enterprise Data Products with Data Governance • Maintain on-premises SQL Server databases, stored procedures, and ETL processes while supporting migration to Azure and Microsoft Fabric • Develop and maintain automated, rule-based processing workflows, including queue-driven processing and batch orchestration • Manage file-based ingestion, feed tracking, processing status, and downstream data distribution • Implement data validation, reconciliation, logging, monitoring, and exception handling • Monitor production pipelines, troubleshoot failures and data discrepancies, and implement corrective actions • Ensure continuity, reliability, and timely delivery of business-critical data processes • Collaborate with business stakeholders, Data Governance, application teams, and engineering resources • Translate business requirements into technical designs and identify source data gaps, dependencies, and process improvements • Maintain technical documentation, including data flows, source-to-target mappings, transformation logic, and operational procedures • Perform unit and integration testing, support QA and business sign-off, and follow development, deployment, and Data Governance standards

🎯 Requirements

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline • 3–5+ years of hands-on experience in data engineering, database development, or enterprise data integration, including building pipelines, migrating data, and modernizing environments • Strong proficiency in SQL Server, T-SQL, stored procedures, query optimization, and ETL/ELT development • Hands-on experience with Azure Data Factory, Azure Data Lake Storage, and Microsoft Fabric, including Data Pipelines, Lakehouse, and Notebooks • Proficiency in Python and/or PySpark • Understanding of data warehousing, relational data modeling, and Medallion Architecture • 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 • Experience modernizing legacy data platforms is an asset • Relevant Microsoft certifications are an asset • Strong communication and collaboration skills • Strong analytical and problem-solving abilities, with attention to data accuracy, quality, and operational reliability • Cover letters are strongly preferred

🏖️ Benefits

• Comprehensive and highly competitive benefits package • Physical health benefits • Retirement and savings benefits • Caregiving benefits • Emotional wellbeing benefits • Transportation benefits • Elective benefits selectable to fit employees’ needs and personal situations • Reasonable accommodation for qualified individuals with disabilities during the application or interview process