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# Data Software Engineer/ AWS

- **Company:** EPAM Systems, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Airflow, Amazon Web Services, Amazon S3, Data Infrastructure, Data Security, Data Sharing, Distributed Systems, Amazon DynamoDB, Electronic Data Interchange (EDI), Identity and Access Management, Python (Programming Language), Backend, Pytest, Pyspark, Kubernetes, Data Programming, Terraform, Data Pipelines, Databricks, Microservices
- **Published:** September 24, 2026
- **Apply:** https://www.dice.com/job-detail/92a99f60-da83-4937-bb29-31e5a661ef35

## About the Role

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

## Description

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


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