Data Engineer Associate

At Eide Bailly we believe respect is how to treat everyone, not just those you want to impress. Our
culture focuses on collaboration to achieve career growth. Innovation is highly encouraged, which is
where programs like our EB Xchange originate. This program allows interested tax and audit employees
to complete a rotation into a specialty area. We promote happy employees by making work/life balance
a priority along with being actively involved in our communities. Our dedication to service can be seen
through the Firm's decision to match charitable donations made by employees, as well as providing
opportunities to volunteer throughout the year. Most importantly, we like to have fun! We offer a
professional and fun work environment with frequent lunch and learns, socials, contests, outings and
other events.

A Typical Day in the Life
A typical day as a Data Engineer Associate might include the following:

• 
  Builds ETL processes to extract data from multiple sources to build and maintain the data lake.
• Works with service areas to transform data by auditing and staging data for analytic application.
• Creates data models including but not limited to fact and dimension tables to support reporting technologies such as OLAP cubes, Tableau, Power BI and Alteryx.
• Uses problem solving and creativity to apply appropriate techniques in the creation of robust, scalable, and reproducible data processing assets.
• Leverages source control and pipeline tools such as Github, GitLab, or Git for ADO to maintain documentation and controls of what is delivered to the target data engineering environment providing a full description of how the information is delivered and to what environment and stage of development.
• Provides guidance and reviews systems for security and governance compliance.
• Ensures timely and accurate performance on assigned projects.
• Maintains compliance with project budgets, turnaround times, and deadlines.
• Monitors platform and application stability and initiates incident and escalations to both internal teams and external vendors.
• Troubleshooting, Root Cause analysis, implementation, and retrospective activities to overcome break-fix incidents and harden data pipelines to be more robust, stable, and scalable.

Qualifications: