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
Pay: $96,365.23 - $116,052.76 per year
Benefits:
- Dental insurance
- Health insurance
- Vision insurance
Work Location: In person
