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Data Warehouse Developer III

Job in Birmingham, Jefferson County, Alabama, 35275, USA
Listing for: UAB Medicine
Full Time position
Listed on 2026-05-04
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 94375 - 153355 USD Yearly USD 94375.00 153355.00 YEAR
Job Description & How to Apply Below

Position Overview

Pay range: $94,375 - $153,355 / year

Benefits and perks available for eligible positions include robust educational assistance programs, generous paid time off, employee assistance and wellness programs, paid parental leave, qualifying employer for the Public Service Loan Forgiveness (PSLF) Program, plus more.

Job Highlights

A team of more than 400 professionals, Health System Information Services (HSIS) works to keep UAB Medicine’s IT systems and infrastructure running smoothly to deliver quality care to our patients. Join our nationally ranked team at UAB Medicine, the No. 1 Best Large Employer in 2021 as ranked by Forbes magazine.

Job Description

To collaborate with a diverse team of analysts and end users to design and build EDW artifacts, such as reports and dashboards, using Power Insight Enterprise Data Warehouse and SAP Business Objects. To perform both analyst and developer responsibilities as needed. To perform highly complex analysis and design across multiple database platforms and technologies. May need to instruct and guide those with less experience.

To conduct research into new data warehouse applications and determine viability for adoption. To identify, describe and define BI problems and requirements from across the organization.

Job

Specific Duties
  • Lead and contribute to all phases of the business intelligence development lifecycle, including understanding business objectives, gathering and translating business requirements into data requirements, designing and developing data extracts, reports, dashboards, and analytics solutions, deploying and scheduling BI assets in accordance with established best practices, and producing clear, accurate, and timely technical documentation.
  • Partner closely with clinical, operational, and technical stakeholders to understand source systems, data meaning, and data usage; perform data analysis and validation; and provide guidance and support related to data integration, interpretation, and downstream consumption.
  • Serve as a senior technical contributor within an Epic‑centric analytics environment, supporting enterprise reporting and analytics needs using Epic Cogito tools and data models.
  • When required, design and develop analytics solutions using non‑Epic platforms and tools, including Microsoft Fabric and Power BI, applying the same BI lifecycle principles and quality standards used in Epic‑based development.
  • Contribute to BI standards, best practices, and technical decision‑making; support knowledge sharing and mentoring of less‑experienced developers as appropriate for a senior‑level role.
Qualifications

Bachelor's degree in Information Systems or a related field and six (6) years of related experience required. Work experience may NOT substitute for education requirement.

Preferred Skills
  • Technical Expertise:
    Strong SQL development skills, including the creation, maintenance, and optimization of complex queries and stored procedures. Demonstrated ability to write efficient, scalable SQL and identify opportunities for performance improvement. Experience with SQL Server Management Studio (SSMS) required; experience with Microsoft Fabric and Power BI preferred.
  • Epic Cogito Proficiency:
    Advanced experience with Epic’s Cogito platform is required. Candidate must hold a Cogito Fundamentals certification. Additional certifications or demonstrated experience with Cogito Tools Administration, Clarity Data Model, Caboodle Data Model, Revenue and/or Access data domains are preferred. Familiarity with Slicer Dicer, Cogito SQL, Epic security concepts, and Nova Notes is desirable.
  • Healthcare Data Knowledge:
    Strong understanding of healthcare clinical and operational data, common healthcare workflows, and how data supports operational, analytical, and decision‑making needs across an enterprise healthcare environment.
  • Analytical and Problem‑Solving

    Skills:

    Proven ability to analyze complex data challenges, identify root causes, design effective solutions, and balance competing technical and business considerations.
  • Communication and

    Collaboration:

    Excellent written and verbal communication skills, with the ability to collaborate effectively with…
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