Data Management Engineer II - ETL, BI Pipelines, Snowflake

First PREMIER; Sioux Falls, Northern (SD, KY); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Health benefits

Paid Time Off

401(k) match up to 5%

Wellness program

Volunteer hours

Job summary

First PREMIER is seeking a Data Management Engineer II to design and optimize data workflows and pipelines powering BI reporting and financial analytics. You will collaborate with BI developers, analysts, and IT teams to deliver reliable, governed data solutions that support compliance and operational efficiency.

The role requires strong SQL, Excel, Power BI, and enterprise scheduling skills, plus knowledge of cloud data platforms (Azure DevOps, Snowflake, Tidal, AWS).

Qualifications

• Proficient in SQL, Excel, and Power BI with enterprise scheduling experience.
• Knowledge of Azure DevOps, Snowflake, Tidal, and AWS cloud is beneficial.
• Experience with data workflows, ETL, and data governance in a financial context.

Responsibilities

• Design and optimize data workflows, pipelines, and infrastructure for BI reporting.
• Collaborate with BI developers, analysts, and IT teams to deliver governed data solutions.
• Build and maintain enterprise datasets and ETL pipelines into the data warehouse.
• Perform UAT on data-related projects and manage code changes to production.
• Monitor reporting infrastructure and resolve data issues.

Skills

SQL

Excel

Power BI

Enterprise scheduling

Education

Post-secondary education

Tools

Azure DevOps

Snowflake

Tidal

AWS Cloud

Job description

First PREMIER is seeking a Data Management Engineer II to design and optimize data workflows and pipelines powering BI reporting and financial analytics. You will collaborate with BI developers, analysts, and IT teams to deliver reliable, governed data solutions that support compliance and operational efficiency.

The role requires strong SQL, Excel, Power BI, and enterprise scheduling skills, plus knowledge of cloud data platforms (Azure DevOps, Snowflake, Tidal, AWS).