CDW
Master Data Manager- Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Master Data Manager - Data Engineer on a 6-month remote contract, paying "pay rate." Requires 5+ years in data engineering, 3+ years in Python, AWS expertise, and strong SQL skills. AWS certification preferred.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
July 8, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Snowflake #DevOps #PostgreSQL #Data Governance #Terraform #Data Modeling #Data Management #Security #Lambda (AWS Lambda) #Scala #REST API #Data Engineering #S3 (Amazon Simple Storage Service) #AWS Glue #AI (Artificial Intelligence) #AWS (Amazon Web Services) #Data Pipeline #Redshift #DynamoDB #dbt (data build tool) #"ETL (Extract #Transform #Load)" #Databricks #Computer Science #Data Quality #Automation #Data Architecture #Agile #Athena #Infrastructure as Code (IaC) #ChatGPT #Documentation #Data Access #MDM (Master Data Management) #Cloud #ML (Machine Learning) #REST (Representational State Transfer) #Python #SQL (Structured Query Language)
Role description
Master Data Management (MDM) Data Engineer
100% Remote – EST Hours
6 month CDW Contract
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.
Qualifications
• 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.
Preferred Qualifications
• 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.
Master Data Management (MDM) Data Engineer
100% Remote – EST Hours
6 month CDW Contract
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.
Qualifications
• 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.
Preferred Qualifications
• 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.
