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# Data Software Engineer

- **Company:** EPAM Systems, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon S3, Microsoft Azure, Software as a Service, Cloud Computing, Databases, Extract Transform Load (ETL), Data Warehousing, Github, Apache Hive, Identity and Access Management, Python (Programming Language), PostgreSQL, Machine Learning, SQL Azure, Azure Data Lake, Salesforce.Com, SAP (Applications), SQL Databases, Data Streaming, Workflow Management Systems, Data Processing, Enterprise Software Applications, Data Ingestion, Azure Data Factory, Retrieval-Augmented Generation, Large Language Models, Snowflake, Prompt Engineering, Generative AI, Microsoft Fabric, Pyspark, Information Technology, Deployment Automation, AWS Glue, Data Programming, Bicep, AWS Data Analytics, Cosmos DB, Data Management, Virtual Agents, Terraform, Meditech, Azure Synapse Analytics, Data Pipelines, Serverless Computing, Servicenow, Databricks
- **Published:** August 14, 2026
- **Apply:** https://www.dice.com/job-detail/53cf2266-6f89-4545-b21b-50fdab101f10

## About the Role

We are seeking a highly motivated Senior Data Software Engineer to design, build, and maintain modern cloud-based data platforms while enabling the next generation of AI and Copilot solutions. The ideal candidate will have strong expertise in AWS data ecosystems, PySpark, and experience developing AI-powered solutions using large language models and Generative AI applications. Responsibilities Design and implement scalable ETL/ELT pipelines Build and optimize data ingestion frameworks from APIs, databases, SaaS applications, and streaming sources Develop data models to support analytics, reporting, AI, and machine learning workloads Implement data quality monitoring, lineage, and governance controls Support enterprise lakehouse and data warehouse initiatives Build serverless and event-driven data processing solutions using AWS Glue, S3, Athena, Redshift, Lambda, EventBridge, and IAM Optimize cloud infrastructure costs and performance Integrate Generative AI and LLM-based capabilities into
enterprise data workflows Support Agentic AI and workflow orchestration initiatives Implement CI/CD pipelines and automate deployments using Azure DevOps and GitHub Actions Support Infrastructure as Code using Terraform or Bicep Monitor solution health and performance Requirements 3+ years of working experience with AWS data technologies 1+ year of working experience with Generative AI, LLMs, or Copilot Studio Experience in Agile product delivery teams Proficiency in Python, SQL, PySpark, and Spark SQL Expertise in AWS Glue, S3, Athena, Redshift, Lambda, and IAM Familiarity with Bedrock Knowledge of prompt engineering, RAG (Retrieval-Augmented Generation), and LLM integration Background in working with SQL Server and PostgreSQL English proficiency at B2 level or higher Nice to have Familiarity with Azure Data Factory, Azure Synapse, and Azure Databricks Knowledge of Azure SQL, Azure Data Lake Gen2, and Microsoft Fabric Familiarity with Azure OpenAI and Azure Functions Skills in Snowflake
and Cosmos DB Background in Healthcare, Life Sciences, MedTech, or Pharmaceutical industries Experience integrating enterprise applications such as SAP, Salesforce, or ServiceNow Exposure to Microsoft Fabric and Azure AI Foundry



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