Job
Description
Who We Are Eide Bailly is one of the top 25 CPA and business advisory firms in the nation. We have over 40 offices in 15 states across the Midwest and western United States and offer our staff and Partners the opportunity to serve a variety of industries. In 2019, we extended our operations to Mumbai, India, and desire to expand our shared services segment there. Founded in 1917, our culture is the foundation of who we are, and we pride ourselves on supporting our employees to help them achieve their goals and pursue their interests both in the office and at home. At Eide Bailly we are passionate about the clients we serve, the work we do, and most importantly, having fun while we do it! Why Youll Love Working Here 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 Firms 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. Who You Are Bachelor s degree in Information Systems, Computer Science, a related field, or equivalent work experience. Minor in mathematics, statistics, accounting, finance, or other quantitative discipline, preferred. 2+ years work experience as a data engineer, software developer, or equivalent technology profession. Knowledge of: ETL processes and tools. Data orchestration and preparation best practices. MPP systems such as MS Data Factory & Synapse, Snowflake, Delta Lake. MS Fabric preferred. Streaming technologies, such as Microsoft, Kafka, Kinesis, Lambda and Spark. SDLC Lifecycle. Medallion Lakehouse concept data warehousing model (Bronze > Silver > Gold). Experience in at least one of the following: MS SQL - SQL Server Integration Services, SQL Server Analysis Services, SQL Server Reporting Services. Python Language. Cloud Data technologies - Azure and AWS. Data modeling using the Kimball method (Star schema). Exposure to DevOps tools and concepts to schedule, build, and release deliverables in a controlled and reproducible environment. Comfortable with uncertainty. Projects and assignments will change rapidly, so must be flexible enough to accommodate changing priorities and timelines. Ability to work independently and motivated to take on assigned tasks without hands-on input. Motivation to learn and apply a complex skillset for data engineering or data science. Strong interpersonal skills and can maintain effective working relationships with staff, partners, public and external agencies. Ability to adapt with the project management lifecycle working with program managers, business analysts and other data professionals. Must possess intellectual and analytical curiosity -- initiative to dig into the "why" of various results and a desire to grow responsibility and become a domain expert and strategic thought leader. What to Expect Next: Well be in touch! If you look like the right fit for our position, one of our recruiters will be reaching out to schedule a phone interview with you to learn more about your career interests and goals. In the meantime, we encourage you to check us out on Facebook, Twitter, Instagram, TikTok or our About Us page. 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.
