Data Engineer

Position: Data EngineerLocation: Indianapolis, INLength: 6 month contract-to-hireRate: $50/hr - $60/hr - W2 ONLY(Exact compensation may vary based on several factors, including skills, experience, and education)Required SkillsBachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experienceStrong experience with Azure Synapse Analytics and Azure Data Lake StorageAdvanced T-SQL development and performance tuning experienceHands-on experience with Apache Spark using Python and/or ScalaExperience designing and building enterprise ETL/ELT data pipelinesData warehouse and data modeling experienceExperience with Git source control and CI/CD pipelines in Azure DevOpsStrong communication skills and ability to work with technical and business stakeholdersExperience supporting large-scale cloud-based data platformsNice to Have Skills & ExperienceAzure Data Factory experienceAzure Data Lake Gen2 expertiseDedicated and Serverless SQL Pool experienceAzure DatabricksAzure Functions, Event Hubs, Logic Apps, Key Vault, and Power BIAzure Data Engineer Associate or Azure Solutions Architect certificationsDelta Lake or Lakehouse architecture experienceKnowledge of data governance, security, compliance, NERC/FERC, GDPR, or CCPA standardsJob DescriptionOur client is seeking a Data Engineer to design, build, and optimize enterprise data solutions within the Azure ecosystem. This individual will develop scalable data pipelines, data lake and warehouse solutions, and advanced data transformations using Azure Synapse, Apache Spark, T-SQL, Python, and/or Scala. Responsibilities include data modeling, ETL/ELT development, performance tuning, monitoring platform health, and implementing governance and security best practices. The engineer will partner closely with business analysts, data scientists, and stakeholders to deliver reliable, high-performing data platforms while working in an Agile environment utilizing DevOps and CI/CD practices.