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Data Engineer

Design, develop, and implement scalable data solutions across cloud-based data platforms while leading technical execution from solution design through deployment, ensuring performance, security, reliability, and service-level requirements are met

  • Remote, United States
  • Contract
  • Remote
  • $66–$71 per hour
  • Posted Nov 9, 2026
INDUSTRYSoftware & InternetData & Analytics

Responsibilities

  • Design, develop, and implement scalable data solutions across cloud-based data platforms while leading technical execution from solution design through deployment, ensuring performance, security, reliability, and service-level requirements are met
  • Build, optimize, and support resilient data pipelines that enable efficient ingestion, transformation, and delivery of data assets, while troubleshooting and resolving complex data integration, performance, and quality issues
  • Develop and maintain logical and physical data models supporting reporting, analytics, and business operations, defining data structures, relationships, and integration approaches for enterprise analytical needs
  • Collaborate with business stakeholders, analysts, and architects to translate business requirements into technical designs, prioritize data delivery activities, and manage solution dependencies
  • Ensure alignment of data models, pipelines, and data products with established architecture standards and governance requirements, while supporting the development of reusable data assets and frameworks that improve scalability and consistency across solutions

Requirements

  • Bachelor's degree required

Skills

Azure data stackDatabricksUnity CatalogPythonSparkSQLGitCI/CDPower BIPower PlatformAzure data stackDatabricksUnity CatalogPythonSparkSQLGitCI/CDPower BIPower Platform

Full description

Data Engineer Contract (5 Months + Possible extension or FTE) Remote Pay Rate: $66.15 - 71.43 an hour on W2 (DOE) Responsibilities: Design, develop, and implement scalable data solutions across cloud-based data platforms while leading technical execution from solution design through deployment, ensuring performance, security, reliability, and service-level requirements are met Build, optimize, and support resilient data pipelines that enable efficient ingestion, transformation, and delivery of data assets, while troubleshooting and resolving complex data integration, performance, and quality issues Develop and maintain logical and physical data models supporting reporting, analytics, and business operations, defining data structures, relationships, and integration approaches for enterprise analytical needs Collaborate with business stakeholders, analysts, and architects to translate business requirements into technical designs, prioritize data delivery activities, and manage solution dependencies Ensure alignment of data models, pipelines, and data products with established architecture standards and governance requirements, while supporting the development of reusable data assets and frameworks that improve scalability and consistency across solutions Qualifications: Minimum 7 years of recent experience designing and delivering enterprise data solutions Bachelor's degree required Demonstrated deep knowledge and hand-on experience in designing and implementing end-to-end data solutions across cloud data platforms across all project phases, with hands-on expertise with the Azure data stack, including Databricks, Unity Catalog Proven proficiency in architecting data models and developing complex data pipelines using Python/Spark and SQL Experience with code management and deployment using Git repositories and CI/CD processes, along with an understanding of data consumption platforms and analytics tools such as Power BI and the Power Platform #LI-SJ3 #RTA

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