Master Data Management (MDM) Data Engineer

CDW

United States

25 days ago

Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

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

+30 more

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

Job 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.

Requirements

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.