Senior Software Engineer I (Data Engineer - Spark, Scala, ETL)

Senior Software Engineer I (Data Engineer - Spark, Scala, ETL) - 2346534

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.

 

Software engineering is the application of engineering to the design, development, implementation, testing and maintenance of software in a systematic method. The roles in this function will cover all primary development activity across all technology functions that ensure we deliver code with high quality for our applications, products and services and to understand customer needs and to develop product roadmaps.

 

These roles include, but are not limited to analysis, design, coding, engineering, testing, debugging, standards, methods, tools analysis, documentation, research and development, maintenance, new development, operations and delivery. With every role in the company, each position has a requirement for building quality into every output. This also includes evaluating new tools, new techniques, strategies; Automation of common tasks; build of common utilities to drive organizational efficiency with a passion around technology and solutions and influence of thought and leadership on future capabilities and opportunities to apply technology in new and innovative ways.

 

Primary Responsibilities:

• Analyzes and investigates
• Provides explanations and interpretations within area of expertise
• Follow the development practices, policies, and reporting expectations in the Optum Team
• Work as full stack engineer and lead developer
• Participate in the daily standups, project meetings and retrospectives
• Clearly articulate questions and requirements for the work being assigned
• The ability to produce solutions to problems independently but can ask for help when needed
• Follow all Optum Regulatory/Compliance requirements
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• 6+ years of experience in Data Engineering (Spark and Scala)
• 4+ years of experience in building data pipeline, ETL using Databricks
• Good experience in working with Azure PaaS based application, cloud deployment
• Experience working in an Agile development environment
• Experience building unit tests
• Experience building queries in SQL, preferably PL/SQL
• Experience using a source control repository, preferably GIT
• Experience in using GenAI tools (Github Co-pilot etc.)
• High level knowledge of development fundamentals and core language concepts
• Good understanding of OOP principals
• Good understanding of secure coding best practices, remediation of security vulnerability general knowledge
• Proven problem solving skills, able to analyze logs and trouble shoot issues
• Proven willingness to learn new technologies and eagerness to think outside the box

 

Preferred Qualifications:

• Docker container experience
• Splunk experience
• Github actions workflow experience
• ETL pipeline, Azure databricks, Scala experience