Senior Data Software Engineer

We are seeking a Senior Data Software Engineer to build and support scalable data pipelines that keep enterprise data reliable, secure, and available for analytics and reporting. You will partner with cross-functional stakeholders to optimize storage, transformation, and quality processes.

Responsibilities

• Design scalable data pipeline architectures for ingestion, transformation, and serving
• Build and maintain data processing workflows that meet reliability, performance, and scalability needs
• Ensure data integrity, security, and availability aligned with industry practices and organizational requirements
• Develop complex SQL procedures and scripts for transformation, aggregation, and retrieval
• Optimize BigQuery and SQL Server datasets, queries, and storage patterns for cost and performance
• Implement data quality monitoring, validation checks, and alerting to keep production data accurate
• Collaborate with data architects, modelers, and IT partners to align engineering work with delivery goals
• Integrate new data management technologies and engineering tools into existing environments
• Support data warehouse strategy and execution with a focus on scalability, reliability, and performance
• Analyze and validate source and curated data to ensure it meets reporting and BI needs
• Automate data processing and integration tasks using Python scripts
• Stay current on data engineering methods and propose improvements to reduce risk and operational effort

Requirements

• 3+ years of data engineering experience in building and maintaining data pipelines
• Google Cloud BigQuery experience for dataset design, pipeline optimization, and query performance
• Microsoft SQL Server experience with complex SQL, procedures, and scripting
• Senior-level ownership skills to drive solutions from design through production support
• Data pipeline tools knowledge with workflow orchestration or scheduling concepts
• Strong database knowledge in relational theory, schema design, and performance tuning
• Bachelor's degree in Computer Science, Engineering, Information Technology, or related field
• Strong analytical skills to validate data and troubleshoot pipeline or quality issues
• Strong communication skills to collaborate with technical and non-technical partners
• Upper-Intermediate English proficiency (B2)
• Strong collaboration skills to work effectively with data architects and IT partners

Nice to have

• Python data libraries experience (Pandas, NumPy)

Benefits

• 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