Senior Data Engineer

Senior Data Engineer – Azure Data Warehouse (5–7+ Years Experience) Start Date: Jan. 5th, 2026 Long term renewing contract Location: onsite, downtown Indianapolis • Azure-based data warehouse and dashboarding initiatives. • Work alongside architects, analysts, and researchers to build scalable, auditable, and business-aligned data assets using modern cloud tools and best practices. Key Responsibilities · Design and implement scalable data pipelines using ADF, Databricks, and Azure SQL Server · Apply Medallion architecture principles and best practices for data lake and warehouse design · Collaborate with Data Architects, Analysts, and Researchers to translate business needs into technical solutions · Develop and maintain CI/CD pipelines for data workflows and dashboard deployments · Lead troubleshooting and debugging efforts across ETL, SQL, and cloud environments · Mentor junior team members and promote best practices in data modeling, cleansing, and promotion · Support dashboarding initiatives with Power BI and wireframe collaboration · Ensure auditability, lineage, and performance across SQL Server and Oracle environments Required Skills & Experience · 5–7+ years in data engineering, data warehouse design, and ETL development · Strong expertise in Azure Data Factory, Data Bricks, and Python · Deep understanding of SQL Server, Oracle, Postgres SQL & Cosmos DB and data modeling standards · Proven experience with Medallion architecture and data Lakehouse best practices · Hands-on with CI/CD, DevOps, and deployment automation · Agile mindset with ability to manage multiple priorities and deliver on time · Excellent communication and documentation skills Bonus Skills · Experience with GCP or AWS · Familiarity with Jira, Confluence, and AppDynamics