Data Engineer

Position: Data Engineer

Location: Indianapolis, IN (Hybrid- 1 day in a week onsite)

Duration: 12+ Months and Extendable

Client: State of IN (Indiana Department of Health)

MUST BE in INDIANA Location

Description:

This role supports data integration, pipeline development, data modeling, governance, and documentation while collaborating with cross-functional teams to deliver high‐quality, reliable data products for the agency.
Plays a key role in implementing the agency's data strategy by developing batch and streaming pipelines, optimizing data warehouse workloads, and enforcing data governance standards. The position assists with requirements gathering, solution reviews, and technical support, and works closely with data architects, scientists, analysts, and project managers to translate business needs into technical designs. This role supports operational processes, contributes to policy and procedure improvements, and may provide mentorship or supervision based on agency needs.
Job Duties

·Assists with the data technology strategy, including resolvingstrategic data integration issues, such as data quality and stewardship,real-time,
·Event-based data integration, and crafting a universal vision for data integration
·Provides direction and oversight for the design and implementation of data solutions for integration and synthesis across multiple secure systems
·Assists with the definition, implementation, and continued adherence of new data management policies and design standards for data engineering
·Provides advice, training, and technical support for various projects
·Participates in project activities such as requirements gathering, solution reviews, and explaining technical complexities to non-technical personnel
·Work closely with the solution leads, project managers, data architects, data scientists, and data analysts on solution design, architecture, and implementation
·Assists with extraction, transformation, and loading of data from a wide variety of data sources using various data engineering tools and methods.
·Designs, builds, and maintains batch and streaming data pipelines in Azure Databricks using Py Spark, Spark SQL, and Delta Lake, following a medallion (bronze/silver/gold) lake house architecture
·Develops, loads, and tunes dimensional data models and SQL workloads in Azure Synapse Analytics (dedicated and serverless SQL pools) to support reporting and dashboard needs
·Orchestrates and monitors data workflows using Databricks Workflows/Jobs and Synapse or Azure Data Factory pipelines, including scheduling, alerting, and failure recovery
·Applies data governance and security controls (e.g., Unity Catalog permissions, role-based access, row- and column-level security, data masking) to protect sensitive health data (PHI/PII) in accordance with HIPAA and agency policy
·Assists with documenting and demonstrating solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code.
·Assists in operations by conducting systems analysis; recommendingchanges in policies and procedures.
·The job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time.