Data Engineer Level 2

Data Engineer Level 2Location: Blue Ash, OH 45241Duration: 6 months (Contractor) Pay Rate: $55–$70/hr (W2)Join our team to build modern data solutions in Azure! We're seeking a skilled Data Engineer with hands-on expertise in Databricks, Spark, Python, and cloud DataOps. You'll design scalable data pipelines, automate infrastructure with Terraform/GitHub Actions, and treat data as an enterprise asset—collaborating on CI/CD, governance, and optimization for reliable, secure analytics.Key ResponsibilitiesAnalyze, design, and develop Azure-based data products, pipelines, and architecture using Databricks, Spark, PySpark, Python, and SQL.Optimize Spark/PySpark pipelines for performance (e.g., data skew, partitioning, caching, shuffles).Build and maintain Delta Lake tables/models for analytical/operational use cases, including Delta Live Tables (DLT) or Datastack SQL.Provision cloud/Databricks resources via Terraform (IaC) and manage GitHub-based CI/CD workflows with GitHub Actions.Implement Git workflows for notebooks/jobs; troubleshoot clusters, jobs, and pipelines for reliability.Collaborate on data governance (e.g., Purview, Unity Catalog), lineage, cataloging, and enterprise standards.Deploy Azure fixes/upgrades; mentor on best practices; create diagrams/specs; support stakeholders and data strategy.Requirements5+ years as Data Engineer.Strong hands-on with Azure Databricks, Spark/PySpark, Python, SQL, and databases.Experience with Delta Live Tables (DLT), Databricks SQL, Azure Functions, messaging/orchestration tools.Proficiency in Terraform (IaC), GitHub/GitHub Actions (CI/CD, version control).Azure cloud data services integration; monitoring/optimizing Databricks clusters/workflows.Knowledge of distributed computing (partitions, joins, shuffles); data governance tools (Purview, Unity Catalog).SDLC familiarity; ability to manage priorities independently.For more information, contact View email address on click.appcast.io or call View phone number on click.appcast.io.