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# Senior Software Engineer

- **Company:** LHC Group, Inc.
- **Location:** Fort Washington, PA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $91,700.0 - $163,700.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Bash Shell, Big Data, Cloud Computing Security, Cloud Database, Code Review, Databases, Continuous Integration, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Transformation, Data Systems, Linux, DevOps, Distributed Systems, Java Platform Enterprise Edition (J2EE), Apache Hadoop, Hibernate (Java), Integrated Development Environments, Spring Framework, JSON, Python (Programming Language), Machine Learning, SQL Azure, Performance Tuning, Windows PowerShell, Tensorflow, Scala (Programming Language), Shell Script, Software Engineering, SQL Databases, Transact-SQL, Web Services, Data Processing, Azure Data Factory, Sql Optimization, Snowflake, Apache Spark, Software Application Programming, Database Performance, Information Technology, Data Pipelines, Databricks
- **Published:** September 12, 2026
- **Apply:** https://www.careerjet.com/job/us06af6e95fec5c1516017c8f69d82ac00/eaa

## About the Role

* 5+ years of professional experience in Software Engineering
 * 5+ years of experience in Data Engineering
 * 5+ years of experience with SQL, T-SQL, and ETL development
 * 3+ years of professional experience developing applications using Scala, Python, JSON, and Web Services
 * 3+ years of professional experience working with distributed systems technologies such as Spark, Databricks, Hadoop, or Snowflake
 * 2+ years of experience in Python development
 * 2+ years of experience developing with Java/J2EE, Web Services, Spring, and Hibernate
 * 1+ years of experience developing solutions hosted within public cloud providers such as Azure/AWS
 * 1+ years of experience in CI/CD and DevOps practices
 * 1+ years of experience with shell scripting and automation tools
 * 1+ years of experience with AI/ML-driven solutions, * Bachelor's degree or equivalent technical experience in Computer Science, Information Technology, or a related field
 * Experience integrating enterprise AI capabilities, machine learning frameworks, or predictive analytics into ETL/database platforms
 * Knowledge of responsible AI frameworks, data governance, and cloud security best practices
 * Experience working in an Agile/Scrum software development environment
 * Azure certifications (e.g., Azure Data Engineer Associate, Azure AI Engineer Associate, or Azure Developer Associate)

## Description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
As a Senior Software Engineer specializing in data engineering and intelligent solutions, you will design, build, and deploy enterprise-scale software, cloud databases, and automated ETL workflows. In this role, you will leverage enterprise-approved AI tools and emerging technology trends to automate data processing, enhance database performance, and build intelligent data platforms. Working within an agile cloud environment on Azure, you will collaborate with cross-functional engineering and architecture teams to deliver scalable, AI-powered data solutions with a strong emphasis on responsible technology use and continuous innovation.
Primary Responsibilities:

 * Design, develop, and deploy AI-powered solutions and automated frameworks to address complex business challenges with an emphasis on responsible use of AI
 * Use enterprise-approved AI tools to streamline workflows, automate data transformation, and drive continuous improvement across data engineering pipelines
 * Evaluate emerging technology trends to inform solution design, database architecture, and strategic data engineering innovation
 * Build, optimize, and maintain scalable ETL/ELT data pipelines and big data infrastructure using Spark, Scala, Python, and Java
 * Develop advanced SQL and T-SQL procedures, database schemes, and automated validation rules across cloud database environments
 * Configure, manage, and optimize cloud database and data orchestration technologies including Azure SQL Database, Databricks, ADLS, and Azure Data Factory
 * Build and maintain automated CI/CD DevOps pipelines and write scripting automation using PowerShell and Linux Bash
 * Perform performance tuning, code reviews, and automated testing across complex distributed big data platforms


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