> Markdown version of [/jobs/ext/3881154-azure-data-engineer](https://www.wearedevelopers.com/jobs/ext/3881154-azure-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Azure Data Engineer - **Company:** Stellar Professionals - **Location:** Indianapolis, IN, United States - **Experience:** Experienced - **Contract:** Contract - **Skills:** Microsoft Azure, Continuous Integration, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Warehousing, DevOps, Apache Hive, Role-Based Access Control, Azure Data Lake, SQL Databases, Data Streaming, Parquet, Azure Data Factory, Apache Spark, Git, Data Lakes, Pyspark, Information Technology, Azure Synapse Analytics, Data Pipelines, Serverless Computing, Databricks - **Published:** October 23, 2026 - **Apply:** https://www.dice.com/job-detail/013f2dfa-a98c-49f4-bdb1-b44d58c5e2e7 ## About the Role * Master's degree in Data Science, Computer Science, or related field; OR Bachelor's degree + 2+ years of relevant experience; OR 4+ years of hands-on data engineering experience. * Preferred Certifications: Databricks Certified Data Engineer Associate/Professional or Microsoft Certified: Azure Data Engineer Associate (DP-203). ## Description We are seeking a Data Scientist / Data Engineer to design, build, and maintain secure, scalable data solutions using Azure Databricks and Azure Synapse Analytics. You will build batch and streaming data pipelines, optimize data warehouse workloads, and implement data governance standards to deliver high-quality, reliable data products., * Azure Databricks: PySpark, Spark SQL, Delta Lake, Medallion Architecture (Bronze/Silver/Gold), Unity Catalog * Azure Synapse Analytics: Dedicated & Serverless SQL pools, MPP architecture, Star-Schema Data Modeling (SCD Type 1/2) * Data Integration & Pipelines: ETL/ELT, Auto Loader, Structured Streaming, Azure Data Factory (ADF), Databricks Workflows Engineering & Operations: * Data Lake & Storage: ADLS Gen2, Parquet/Delta formats, Schema Enforcement/Evolution, Time Travel * DevOps & CI/CD: Git, Azure DevOps, Databricks Asset Bundles, Branching & PRs * Performance & Governance: Cluster right-sizing, Spark UI troubleshooting, HIPAA/PHI/PII security, Role-Based Access Control (RBAC)