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# Sr. Data Engineer

- **Company:** Milliman, Inc.
- **Location:** Indianapolis, IN, United States
- **Experience:** Expert
- **Salary:** $98,000.0 - $198,000.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Big Data, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Python (Programming Language), Productivity Software, Power BI, Cloud Services, Software Engineering, SQL Databases, Data Processing, Apache Spark, Information Technology, Data Pipelines, Databricks
- **Published:** October 16, 2026
- **Apply:** https://diversityjobs.com/career/11607514/Sr-Data-Engineer-Indiana-Indianapolis

## About the Role

* Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field preferred; however, substantial relevant experience will be considered.
 * Minimum of 5 years of proven experience as a Data Engineer, with strong command of Databricks/Spark.
 * Proficiency in SQL.
 * Experience with Power BI Semantic Models, Python, and healthcare data is desirable.
 * Proven ability in data modeling, warehousing, ETL pipelines, and cloud services.
 * Strong analytical acumen, problem-solving skills, and effective communication abilities.
 * Experience with AI software development productivity tools is a plus

## Description

We are seeking a seasoned Senior Data Engineer proficient in Spark and SQL to spearhead the design and enhancement of our data infrastructure. This role is pivotal in managing large-scale data operations with agility and precision. While not mandatory, expertise in Python, a background in healthcare data, and familiarity with Power BI Semantic Models would be advantageous and highly regarded. The ideal candidate will demonstrate a passion for data-driven solutions and a dedication to maintaining exceptional standards., * Develop and uphold scalable data architectures utilizing Databricks and Spark.

 * Execute advanced data manipulation and querying tasks using SQL.
 * Optimize data pipelines and architectures, leveraging Spark for high-volume data processing.
 * Collaborate closely with analytics and business teams to craft efficient data models for business intelligence tools.
 * Uphold high standards of data quality, security, and regulatory compliance.
 * Leverage Python proficiency, healthcare data expertise, and Power BI Semantic Models to enhance data solutions and reporting capabilities.
 * Stay informed about emerging trends and technologies in data engineering, particularly relating to Spark and business intelligence tools.
 * Ability to self-manage and drive the implementation of small-scale data engineering projects.