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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Master Data Management (MDM) Data Engineer - **Company:** CDW - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Amazon S3, Data Analysis, Business Software, Information Systems, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Security, Database Queries, DevOps, Document-Oriented Databases, Amazon DynamoDB, Python (Programming Language), PostgreSQL, Cloud Services, Enterprise Software Applications, Snowflake, Infrastructure as Code (IaC), Cloudformation, Build Management, Information Technology, Deployment Automation, AWS Glue, Operational Systems, Data Management, Functional Programming, Restful APIs, Terraform, GPT, Data Pipelines, Serverless Computing, Servicenow, Amazon Redshift, Databricks - **Published:** July 17, 2026 - **Apply:** https://www.dice.com/job-detail/04aef8bd-aca9-41a8-81c0-b038a414ac75 ## About the Role * 5+ years of experience in data engineering, data architecture, or related roles. * 3+ years of hands-on Python development. * 3+ years building and managing ETL/ELT pipelines. * Strong SQL skills and experience with data modeling. * Hands-on experience with AWS services including S3, Lambda, Glue, DynamoDB, Athena, Redshift, PostgreSQL, and Snowflake. * Experience designing REST APIs and integrating data across enterprise systems. * Knowledge of serverless architectures, CI/CD, and Agile development practices. * Strong analytical, troubleshooting, and communication skills. * Bachelor's degree in Computer Science, Information Systems, Analytics, or a related field., * AWS Certification (Solutions Architect or similar). * Experience with dbt, Databricks, Snowflake, Terraform, or AWS CloudFormation. * Familiarity with AI/ML data workflows and modern data platforms. * Experience with DevOps automation and Infrastructure as Code. * Experience integrating with ServiceNow. ## Description CDW is looking for an experienced Master Data Management (MDM) Data Engineer to design and build scalable, cloud-native data solutions on AWS. In this role, you'll develop data pipelines, APIs, and data models that power analytics, reporting, and operational systems while ensuring data quality, governance, and security. Responsibilities * Design, build, and optimize cloud-native data pipelines and architectures on AWS. * Develop ETL/ELT workflows using Python, AWS Glue, Lambda, and related services. * Build and maintain APIs that enable data access across analytics and business applications. * Collaborate with engineering, analytics, and business teams to deliver scalable data solutions. * Monitor, troubleshoot, and improve data pipelines for reliability and performance. * Implement data governance, security, and best practices for cloud data platforms. * Support CI/CD, Infrastructure as Code (IaC), and modern DevOps practices. * Integrate third-party APIs and external data sources. * Document data architectures and mentor team members on modern data engineering practices. * Leverage AI tools such as ChatGPT to improve engineering productivity and documentation. ## Related Videos - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [How we built an AI-powered code reviewer in 80 hours](https://www.wearedevelopers.com/videos/1511-how-we-built-an-ai-powered-code-reviewer-in-80-hours) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Tips, Techniques, and Common Pitfalls Debugging Kafka](https://www.wearedevelopers.com/videos/838-tips-techniques-and-common-pitfalls-debugging-kafka) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Dev Digest 162: AI careers, MCP, AWS best practices & floppy sweaters](https://www.wearedevelopers.com/magazine/571-dev-digest-162-ai-careers-mcp-aws-best-practices-floppy-sweaters)