Search jobs now Find the right job type for you Create a job alert Explore how we help job seekers Contract talent Permanent talent Learn how we work with you Executive search Finance and Accounting Technology Marketing and Creative Legal Administrative and Customer Support Technology Risk, Audit and Compliance Finance and Accounting Digital, Marketing and Customer Experience Legal Operations Human Resources 2026 Salary Guide Demand for Skilled Talent Report Job Market Outlook Press Room Tech insights Labor market overview AI in recruiting Navigating the AI era Staffing for small businesses Cost of a bad hire Browse jobs Find your next hire Our locations

Add your latest resume to match with open positions.

1 result for Data Engineer in West Des Moines, IA

Data Analytics Engineer - Power BI
  • Ankeny, IA
  • onsite
  • Permanent / Full Time
  • 0 - 0 USD / Yearly
  • We are looking for a skilled Data Analytics Engineer with deep expertise in Power BI to join our team in Ankeny, Iowa. In this role, you will design, optimize, and manage semantic data models while ensuring the seamless performance of business intelligence tools. Your contributions will help drive data-driven decision-making across the organization.<br><br>Responsibilities:<br>• Design and implement semantic data models, including dimensional modeling and star schemas, to support business intelligence needs.<br>• Develop and optimize Power BI reports and dashboards, ensuring high performance and efficient query execution.<br>• Utilize Power Query (M) to transform and manipulate data for reporting purposes.<br>• Configure and enforce row-level security within Power BI to safeguard sensitive data.<br>• Conduct performance tuning for Power BI, including query plan optimization and refresh strategies.<br>• Collaborate with stakeholders to understand analytical requirements and translate them into actionable insights.<br>• Leverage tools such as Tabular Editor and deployment pipelines (Azure DevOps, GitHub) to streamline BI asset management.<br>• Work with cloud-based data platforms, including Databricks, Snowflake, or BigQuery, to support lakehouse architectures.<br>• Maintain adherence to enterprise BI governance practices and ensure scalable solutions for large datasets.<br>• Implement CI/CD patterns to manage semantic models and facilitate environment promotions.
  • 2026-04-14T00:00:00Z