Data Scientist

Requirements:

• Masters degree in data science, analytics, informatics, computer science, mathematics, engineering, or a related field; or a bachelors degree in a related field plus at least two years of relevant experience; or at least four years of hands-on experience in a similar data engineering role. Relevant certifications and coursework may substitute for formal education or experience.
• Local candidates only.
• Ability to work 40 hours per week and follow a hybrid schedule, with one onsite day per week.

Responsibilities:

• Help shape data technology strategy and address data integration challenges involving data quality, stewardship, and real-time or event-based integration.
• Provide direction and oversight for designing and implementing secure data integration and synthesis solutions across multiple systems.
• Help define and implement data management policies and engineering standards, and support ongoing adherence to them.
• Provide technical guidance, training, and support for projects; participate in requirements gathering and solution reviews; and explain technical concepts to nontechnical audiences.
• Collaborate with solution leads, project managers, data architects, data scientists, and data analysts on solution design, architecture, and implementation.
• Extract, transform, and load data from a variety of sources using appropriate data engineering tools and methods.
• Design, build, and maintain batch and streaming pipelines in Azure Databricks using PySpark, Spark SQL, and Delta Lake within a bronze, silver, and gold medallion architecture.
• Develop, load, and tune dimensional data models and SQL workloads in Azure Synapse Analytics to support reports and dashboards.
• Orchestrate and monitor workflows using Databricks Workflows or Jobs and Synapse or Azure Data Factory pipelines, including scheduling, alerts, and failure recovery.
• Apply data governance and security controls, including catalog permissions, role-based access, row- and column-level security, and data masking, to safeguard sensitive health information in accordance with HIPAA and agency policy.
• Document and demonstrate solutions using documentation, diagrams, flowcharts, code comments, and clear code.
• Analyze systems, recommend operational policy and procedure changes, and provide mentorship or supervision as agency needs require.

Technologies:

• Azure
• Databricks
• Support
• PySpark
• SQL
• Security
• Spark
• Cloud
• Data Warehouse
• GameDev
• Serverless
• Unity

More

We are seeking a Data Scientist to support the Indiana Department of Healths data strategy and deliver dependable, high-quality data products in collaboration with cross-functional teams. The role focuses on data integration, pipelines, modeling, governance, and documentation, and may include other duties as assigned. The position is based in Indianapolis, Indiana, with a hybrid schedule requiring one onsite day per week. The assignment is scheduled from November 2, 2026, through November 30, 2027, and interviews will be conducted by webcam.

last updated 43 week of 2026