Ascii Group, LLC
MDM Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior MDM Developer in Seattle, WA, with a 12-month contract at $72.00/hr. Requires 10+ years of MDM experience, Reltio expertise, AWS proficiency, and strong Python/SQL skills. Must be a US Citizen or Permanent Resident.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
576
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🗓️ - Date
July 24, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Seattle, WA
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🧠 - Skills detailed
#Scala #XML (eXtensible Markup Language) #Python #IAM (Identity and Access Management) #Data Quality #Data Management #AWS (Amazon Web Services) #Data Manipulation #Deployment #MDM (Master Data Management) #SQL (Structured Query Language) #JSON (JavaScript Object Notation) #API (Application Programming Interface) #Data Pipeline #S3 (Amazon Simple Storage Service) #"ETL (Extract #Transform #Load)" #AWS S3 (Amazon Simple Storage Service) #Agile #Data Lineage #Automation #Data Modeling #Scripting #Documentation #Business Analysis #Data Ingestion #Data Governance #Redshift #DynamoDB #Cloud #Data Wrangling #Lambda (AWS Lambda)
Role description
Role: Senior Data Management Engineer / MDM Developer (Reltio & AWS)
Location: Seattle, WA 98108 (100% On-site - ITAR Requirement)
Compensation: $72.00/hr on W2
Fulltime ; W2 candidate only .
Duration: 12 Months
Position Overview
Seeking an enterprise-grade Senior Master Data Management (MDM) Engineer with 10+ years of experience to architect, configure, and scale cloud-native MDM frameworks using Reltio. This 100% on-site role falls under ITAR regulations and requires US Citizenship or Permanent Residency (USC/GC). The position focuses on establishing single-source-of-truth Golden Records across Customer, Product, or Vendor domains, configuring match/merge and survivorship rules, and engineering automated data ingestion and distribution pipelines integrated with native AWS cloud services (S3, Lambda, Glue, Redshift, DynamoDB, MSK/Kinesis).
Key Responsibilities
• Reltio MDM Implementation: Lead the end-to-end design, configuration, data modeling, and deployment of Reltio MDM platforms to build Golden Records across core enterprise domains.
• Match/Merge & Survivorship Rules: Define, build, and optimize match/merge algorithms, data validation rules, data quality checks, and automated survivorship logic within Reltio.
• AWS Cloud Integration Architecture: Architect, build, and support low-latency integrations between Reltio MDM and AWS native services (AWS S3, Lambda, Glue, Redshift, DynamoDB, MSK/Kinesis, API Gateway, IAM).
• Data Pipeline Engineering (ETL/ELT): Build and optimize scalable ETL/ELT pipelines using Python and advanced SQL to transform, cleanse, and ingest raw source data into MDM structures.
• Data Governance & Stewardship Collaboration: Partner with data stewards, enterprise architects, and business analysts to map data lineage, enforce governance policies, and refine domain models.
• Agile Engineering & Production Operations: Execute sprint backlogs, author technical architecture documentation, and maintain continuous operational readiness across cloud data pipelines.
Required Skillset
• Experience: 10+ years of dedicated professional MDM implementation experience, including at least 2–3 years in cloud-native MDM environments.
• Reltio MDM Mastery: Direct, hands-on experience designing, modeling, and configuring the Reltio MDM platform.
• AWS Cloud Platform Stack: Active engineering proficiency across core AWS data services (S3, Lambda, Glue, Redshift, DynamoDB, Kinesis/MSK, API Gateway).
• Scripting & Data Manipulation: Expert command over Python and advanced SQL for complex data wrangling, automation, and schema transformations (JSON/XML).
Role: Senior Data Management Engineer / MDM Developer (Reltio & AWS)
Location: Seattle, WA 98108 (100% On-site - ITAR Requirement)
Compensation: $72.00/hr on W2
Fulltime ; W2 candidate only .
Duration: 12 Months
Position Overview
Seeking an enterprise-grade Senior Master Data Management (MDM) Engineer with 10+ years of experience to architect, configure, and scale cloud-native MDM frameworks using Reltio. This 100% on-site role falls under ITAR regulations and requires US Citizenship or Permanent Residency (USC/GC). The position focuses on establishing single-source-of-truth Golden Records across Customer, Product, or Vendor domains, configuring match/merge and survivorship rules, and engineering automated data ingestion and distribution pipelines integrated with native AWS cloud services (S3, Lambda, Glue, Redshift, DynamoDB, MSK/Kinesis).
Key Responsibilities
• Reltio MDM Implementation: Lead the end-to-end design, configuration, data modeling, and deployment of Reltio MDM platforms to build Golden Records across core enterprise domains.
• Match/Merge & Survivorship Rules: Define, build, and optimize match/merge algorithms, data validation rules, data quality checks, and automated survivorship logic within Reltio.
• AWS Cloud Integration Architecture: Architect, build, and support low-latency integrations between Reltio MDM and AWS native services (AWS S3, Lambda, Glue, Redshift, DynamoDB, MSK/Kinesis, API Gateway, IAM).
• Data Pipeline Engineering (ETL/ELT): Build and optimize scalable ETL/ELT pipelines using Python and advanced SQL to transform, cleanse, and ingest raw source data into MDM structures.
• Data Governance & Stewardship Collaboration: Partner with data stewards, enterprise architects, and business analysts to map data lineage, enforce governance policies, and refine domain models.
• Agile Engineering & Production Operations: Execute sprint backlogs, author technical architecture documentation, and maintain continuous operational readiness across cloud data pipelines.
Required Skillset
• Experience: 10+ years of dedicated professional MDM implementation experience, including at least 2–3 years in cloud-native MDM environments.
• Reltio MDM Mastery: Direct, hands-on experience designing, modeling, and configuring the Reltio MDM platform.
• AWS Cloud Platform Stack: Active engineering proficiency across core AWS data services (S3, Lambda, Glue, Redshift, DynamoDB, Kinesis/MSK, API Gateway).
• Scripting & Data Manipulation: Expert command over Python and advanced SQL for complex data wrangling, automation, and schema transformations (JSON/XML).
