Senior Data Software Engineer

We are looking for a Senior Data Software Engineer to join our team. This role is ideal for someone who enjoys designing resilient data solutions that support critical business decision-making. You'll work closely with a team that values clean, well-tested code and strong engineering practices. If you're motivated by solving complex data challenges at scale, this position offers plenty of room to grow and make an impact

Responsibilities

• Design and build scalable data pipelines that support reliable data movement across multiple systems
• Develop and maintain data ingestion processes from a variety of source systems
• Write clean, efficient, and well-tested code following strong software engineering practices
• Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions
• Monitor data pipeline performance and proactively address issues to maintain system reliability
• Participate in code reviews to uphold quality standards and share knowledge across the team
• Troubleshoot and resolve data quality issues, ensuring accuracy and consistency across datasets
• Contribute to the ongoing improvement of data architecture and engineering standards
• Document technical processes and solutions to support knowledge sharing and team onboarding
• Work within an agile environment, participating in sprint planning and other team ceremonies

Requirements

• A minimum of 3 years of relevant professional experience
• Strong hands-on experience with PySpark and Spark SQL for building and processing large-scale data workflows
• Experience building and managing Lakeflow pipelines and Jobs for data orchestration
• Proficiency with Auto Loader and JDBC/CDC ingestion methods, working with sources such as DB2 and SQL Server
• Solid experience with Delta Lake and Unity Catalog for managing data storage and governance
• Background ensuring data quality and performing source reconciliation to maintain accurate, trustworthy datasets
• Experience writing unit tests using pytest to validate code reliability and correctness
• Working knowledge of Git and Asset Bundles for version control and deployment management
• Upper-intermediate English language skills or higher (B2)

Nice to have

• Experience with DataStage migration projects
• Background in Dynamics 365/Dataverse data extraction
• Databricks certification

We offer

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.