ETL Developer / Data Warehouse Architect - 26-02123
Job Description
Job DescriptionETL Developer / Data Warehouse Architect
Location: Remote (Must work EST hours)
Onsite Requirement: Albany, NY – Minimum one week per year
Duration: 1 Year (Possible extension up to 5 years)
Schedule: 40 hours/week | Monday–Friday | 8:00 AM – 5:00 PM ET
Role Overview
Seeking a highly skilled ETL Developer / Data Warehouse Architect to support the design, modernization, and expansion of a secure enterprise data analytics environment.
This role combines hands-on ETL development with data architecture responsibilities, supporting audit analytics, fraud detection initiatives, business intelligence reporting, and secure inter-agency data exchanges within a government environment.
The ideal candidate will have advanced SQL expertise, strong dimensional modeling experience, and deep knowledge of enterprise ETL environments.
Core ResponsibilitiesData Architecture & Warehouse Development
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Review and modernize existing ETL processes and ingestion pipelines
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Architect scalable enterprise data warehouse frameworks
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Design systems to ingest structured and unstructured datasets
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Implement and migrate ETL environments including fact and dimensional models
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Develop dimensional models aligned with user story requirements
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Build enterprise data models supporting audit analytics and fraud detection
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Optimize warehouse performance for reporting and analytics use cases
ETL & Data Integration
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Develop and maintain ETL processes integrating:
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Flat files
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Direct database connections
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XML transactions
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External data feeds
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Implement ETL pipelines using tools such as Qlik, Informatica, or equivalent
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Perform SQL and PL/SQL development for complex transformations
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Support ingestion of new and acquired datasets
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Maintain secure data interchange systems
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Ensure secure transfer and validation of inter-agency data exchanges
Business Intelligence & Reporting Enablement
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Support Tableau and Oracle Business Intelligence (OBIEE) dashboard development
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Design ETL processes optimized for Tableau reporting environments
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Assist with Tableau Server administration (preferred)
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Translate business user stories into analytics-ready datasets
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Ensure BI performance, data accuracy, and reporting integrity
Data Validation & Analytics Support
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Partner with auditors and analytics teams to validate datasets
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Troubleshoot transformation issues and data discrepancies
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Support data quality initiatives
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Apply statistical techniques to support fraud detection and performance analytics
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Develop analytics-ready datasets
Infrastructure & Security Alignment
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Assist in building secure data analytics infrastructure
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Support ETL environment migration
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Align pipelines with governance and security standards
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Ensure compliance with audit and fraud prevention protocols
Minimum Qualifications (Required)
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Bachelor’s degree in Computer Science or related IT field
(Master’s or Doctorate preferred but not required) -
4+ years developing and maintaining data interchange systems integrating:
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Flat files
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Direct database connections
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XML transactions
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4+ years experience with ETL tools (Qlik, Informatica, or equivalent)
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4+ years of data modeling experience (dimensional modeling, star schemas, fact tables)
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4+ years building ETL environments supporting analytics
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4+ years of advanced SQL development
Preferred Qualifications
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Python scripting experience
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Tableau Server administration
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Experience gathering business requirements and validating data
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Formal statistics coursework or applied statistical experience
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PL/SQL development experience
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Experience building ETL environments optimized for Tableau
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Government data analytics experience
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Experience supporting audit or fraud analytics initiatives
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Experience with secure data governance and compliance environments