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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer (Analytics) - **Company:** LHC Group, Inc. - **Location:** Gaithersburg, MD, United States (Remote available) - **Experience:** Expert - **Salary:** $91,700.0 - $163,700.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Data Analysis, Microsoft Azure, Big Data, Cloud Database, Information Systems, Continuous Integration, Information Engineering, Data Security, Data Systems, Data Warehousing, Database Design, Dimensional Modeling, Python (Programming Language), PostgreSQL, MongoDB, NoSQL, Power BI, Azure Data Lake, Scala (Programming Language), Software Engineering, SQL Databases, Data Streaming, Tableau (Software), Software Vulnerability Management, Workflow Management Systems, Azure Data Factory, Snowflake, Apache Spark, Reliability of Systems, Pyspark, Core Data, Kubernetes, Information Technology, Apache Kafka, Cosmos DB, Video Streaming, Terraform, Looker Analytics, Data Pipelines, Docker, Databricks - **Published:** August 23, 2026 - **Apply:** https://www.careerjet.com/job/use0ea3a39e78ef1c0a780dbbf0621ed34/eaa ## About the Role * 5+ years of experience in Data Engineering, Software Engineering, or a related field * 3+ years of experience with Python, SQL, Spark/PySpark, and Databricks * 3+ years of experience with data warehousing, dimensional modeling, and database design * 2+ years of experience with Azure Data Factory, Azure Data Lake, or related cloud data services * 2+ years of experience with Apache Kafka or streaming technologies * 2+ years of production support and KTLO experience, including troubleshooting and platform maintenance * 1+ years of experience building data pipelines using Databricks Medallion Architecture * 1+ years of experience with CI/CD, and automation practices Preferred Qualifications: * Bachelor's degree in Computer Science, Information Systems, or related field * Experience with Azure cloud technologies * Experience with Airflow for workflow orchestration * Experience with Docker, Kubernetes, Terraform, or Infrastructure as Code * Experience with Power BI, Tableau, or Looker * Experience working with healthcare data and HIPAA-regulated environments * Experience with relational and NoSQL databases such as PostgreSQL, Cosmos DB, MongoDB, or Snowflake * Strong analytical, problem-solving, and communication skills ## Description As a Senior Data Engineer on the UHC Core Data KTLO team, you will join our dynamic technology organization in Eden Prairie, MN, dedicated to building and optimizing robust data pipelines and systems that power critical healthcare platforms. In this role, you will design and deliver modern data and AI-powered solutions, platforms, and automations for enterprise scale. You will work with state-of-the-art technologies such as Python, Spark, Scala, and Kafka to build scalable, high-performance data processing pipelines and apply data warehousing and modeling best practices. You will play a key role in driving innovation by identifying opportunities to streamline workflows, automate tasks, and leverage advanced tools to address complex business challenges. Focus on KTLO activities, including vulnerability remediation, tool and version upgrades, data security, and platform stability. Additionally, support Azure Data Factory pipelines, Databricks workloads, and cloud components such as Blob Storage and AzCopy. You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: * Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI * Design, develop, and maintain scalable data pipelines using Python, PySpark, SQL, and Databricks * Build and support batch and streaming data solutions using Kafka and Azure Data Factory * Support KTLO activities including production support, incident resolution, vulnerability remediation, platform upgrades, and system reliability * Implement automation and AI-enabled solutions to improve engineering efficiency and operational processes * Optimize data models, queries, and large-scale data processing workloads * Collaborate with business and technology partners to deliver high-quality data solutions * Ensure compliance with security, governance, and healthcare data privacy requirements * Contribute to CI/CD, monitoring, and cloud modernization initiatives * Apply and promote data warehousing, data modeling, and database design best practices * Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)