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ETL Developer​/Data Warehouse Architect

Job in City of Albany, Albany, Albany County, New York, 12201, USA
Listing for: Jobs via Dice
Full Time position
Listed on 2026-03-06
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Location: City of Albany

Job Title

Extract Transform Load Developer/Data Warehouse Architect

Location

110 State Street, Albany, NY 12236 - Albany

Duration

5 Years.

Note

(Hybrid Role) Work on-site at least one week per calendar year as directed by OSC; and report directly to the manager of Data Analytics & First New York or their designee.

OSC will provide the Consultant with all necessary IT equipment.

Work a 40-hour workweek during regular OSC business hours, between 8:00 a.m. And 5:00 p.m. ET Monday through Friday, excluding State holidays.

Job Description

The Consultant will collaborate with the Data Analytics & First New York units within the Office of the State Comptroller (OSC) to enhance the current data infrastructure and analytics environment. Key responsibilities include reviewing and analyzing existing ETL processes, designing data systems for both structured and unstructured data, and assisting in the implementation of data analytics architecture. The Consultant will be involved in migrating ETL environments, developing fact and dimensional models, and implementing data processes for newly acquired datasets.

Additionally, the Consultant will assist in the design of Tableau/OBIEE dashboards and support data exchanges with external entities.

Minimum Qualifications
  • Bachelor s degree (or equivalent) in Computer Science or related field.
  • 4+ years of experience in ETL development, data modeling, and SQL.
  • Proficiency with ETL tools (e.g., Qlik, Informatica) and data analytics systems.
Preferred Qualifications
  • Experience with Python, Tableau Server, and government data analytics.
  • Background in data validation, troubleshooting, and business requirements gathering.
  • Language/Structured Query Language (PL/SQL);
  • Experience developing a data analytics ETL environment to support Tableau visualizations; and
  • Experience using ETL techniques to support a data analytics program for a government entity.
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