Senior Data Software Engineer/ AWS, Databricks, PySpark
We are looking for a Senior Data Software Engineer to join a team that builds and maintains data infrastructure and platform tooling for a large engineering organization. The work spans cross-region data exchange solutions, Databricks-based data sharing infrastructure, and backend integrations used daily by engineers across multiple regions.
Responsibilities
- Design and implement solutions for cross-region data exchange in environments with strict regulatory and security requirements
- Build and maintain scalable backend services and integrations using Python
- Develop and support data pipelines using PySpark and Apache Airflow (MWAA)
- Deploy and manage Databricks environments on AWS via reusable Terraform modules
- Establish and maintain Delta Sharing for secure data sharing between Databricks accounts
- Create microservices and platform tooling that enable collaboration across distributed engineering teams
- Contribute to platform initiatives used by engineers globally
- Collaborate with cross-functional stakeholders spanning multiple geographies and business units
Requirements
- 3+ years of experience in Data Software Engineering
- Strong backend engineering experience in Python, including async patterns, clean code, and testing with pytest
- Working knowledge of AWS services such as IAM, S3, and DynamoDB
- Familiarity with Kubernetes on AWS, CodeArtifact, and MWAA
- Hands-on proficiency in Databricks and PySpark for data pipeline development and platform management
- Background in designing and building microservices architecture and distributed systems
- Skills in Infrastructure as Code using Terraform or equivalent
- Understanding of data security and privacy principles, including GDPR
- Ownership — proactive accountability for deliverables end-to-end
- Team player — respectful communication and shared responsibility for team outcomes
- Organisational skills — self-directed and able to manage workload in a distributed team
- Engineering mastery — commitment to quality, best practices, and continuous improvement
- English level B2+, with the ability to communicate fluently with English-speaking stakeholders and share technical reasoning clearly
Nice to have
- Expertise in Delta tables and Delta Sharing
- Competency in data modeling and extensible schema design
Benefits
CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT
- Diversity of tasks and projects
- Assessment center for objective review of competency level
- Personal development plan
- Mentoring programs and leadership development
- Certification and professional development support
- Access to learning platforms including more than 2,500 internal courses
- English courses taught by certified teachers
CORPORATE BENEFITS
- Extra leave days
- Referral bonuses
COMPENSATION PACKAGE
- Competitive compensation paid in USD
- Regular salary and performance reviews
MEDICAL & HEALTHCARE
- Private health insurance
- Well-being events
WORKING ENVIRONMENT
- Recreation areas and kitchens
- Tea, coffee and snacks
- Sports equipment and game consoles
- IT Equipment
- Microsoft’s Software Assurance Home Use Program (HUP)
About the Company
More jobs at EPAM Systems
-
Senior AI Test Automation Engineer
Turkiye · remote · Sep 25, 2026
-
Lead Data Integration Engineer with Azure Data Factory and Databricks
Georgia · remote · Sep 25, 2026
-
Senior Data Integration Engineer/ DWH, MS SQL, T-SQL
Georgia, Armenia, Kazakhstan, Kyrgyzstan, Uzbekistan · remote · Sep 25, 2026
-
Lead AI Engineer with agentic coding harnesses
Georgia, Armenia · remote · Sep 25, 2026
-
Senior AI Engineer/ Node.js, Python, Typescript
Georgia, Armenia, Kazakhstan, Kyrgyzstan, Uzbekistan · remote · Sep 25, 2026