Senior Software Engineer – AI-Powered Data on Azure

Optum; Fort Washington (Montgomery County); On-site; USD 92,000 - 164,000; Full time

Benefits offered by this job

Medical plan options

401(k) Savings Plan

Education reimbursement

Employee Discounts

Paid Time Off + Holidays

Employee Stock Purchase Plan

Job summary

Optum is seeking a Senior Software Engineer specializing in data engineering to design, build, and deploy enterprise-scale software, cloud databases, and automated ETL workflows in an Azure-based, agile environment.

You will leverage AI tools, collaborate with cross-functional teams, and contribute to scalable, responsible data platforms while advancing health optimization through technology.

Qualifications

• 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 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

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

Skills

Software Engineering

Data Engineering

SQL

T-SQL

ETL Development

Python

Scala

JSON

Web Services

Spark

Databricks

Hadoop

Snowflake

Java/J2EE

Spring

Hibernate

Azure

AWS

CI/CD

DevOps

Shell Scripting

AI/ML

Education

Bachelor's degree or equivalent

Job description

Optum is seeking a Senior Software Engineer specializing in data engineering to design, build, and deploy enterprise-scale software, cloud databases, and automated ETL workflows in an Azure-based, agile environment.

You will leverage AI tools, collaborate with cross-functional teams, and contribute to scalable, responsible data platforms while advancing health optimization through technology.