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Power Bi Data Engineer Jobs in Missouri (NOW HIRING)

Data Engineer

Saint Louis, MO · On-site

$110K - $133K/yr

The Data Engineer helps design, build, and maintain pipelines and platforms that power our data ... Basic knowledge of BI tools such as Power PI, Tableau, or Looker * Excellent communication and ...

Note: This is not a Data Engineer role . Candidates must have a strong analytics and data ... Experience with BI tools ( Power BI preferred) * Healthcare domain experience (payer/provider ...

$94K - $124K/yr

Develop Power BI semantic models, dimensional data models, and governance standards to enable high ... Requirements * 6+ years of experience in data engineering, business intelligence, cloud data ...

Senior Data Analyst Engineer

Saint Louis, MO

$100K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop and support Power BI semantic models, dashboards, reports, and dataflows. * Enable self ... Data Engineering & Architecture * Consultative Customer Service * Communication & Relationship ...

Senior Data Analyst Engineer

Saint Louis, MO · On-site

$100K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop and support Power BI semantic models, dashboards, reports, and dataflows. * Enable self ... Data Engineering & Architecture * Consultative Customer Service * Communication & Relationship ...

Senior Data Analyst Engineer

Saint Louis, MO · On-site

$100K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Engineering & Architecture * Design, develop, and maintain Snowflake data warehouse solutions ... Develop and support Power BI semantic models, dashboards, reports, and dataflows. * Enable self ...

Data & AI Platform Engineer

Saint Louis, MO

$111K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This is an early-career engineering role focused on building, operating, and improving cloud data ... Power BI or Tableau * CI/CD concepts (Git, branching/PRs, basic pipelines) * Basic scripting ...

Data Analyst

Kansas City, MO · On-site

$65K - $85K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Analyst works closely with the Data Engineer/Data Project Lead, Data Visualization ... GitHub, R, Qualtrics, Tableau or Power BI, ArcGIS * 1+ years of experience supporting federal ...

Showing results 41-60

Power Bi Data Engineer information

What is a Power BI data engineer?

A Power BI Data Engineer is a professional who specializes in designing, building, and managing data solutions using Microsoft Power BI and related technologies. Their primary responsibilities include data modeling, transforming raw data into insightful reports and dashboards, and ensuring data quality and security. They work closely with business analysts and stakeholders to understand data requirements and deliver actionable business intelligence. Power BI Data Engineers often utilize various data sources, integrate them with Power BI, and optimize performance for reporting and analytics.

What are the key skills and qualifications needed to thrive as a Power BI data engineer?

To thrive as a Power BI Data Engineer, you need expertise in data modeling, ETL processes, SQL, and a strong understanding of business intelligence concepts, typically backed by a degree in computer science or a related field. Proficiency in Power BI, DAX, Power Query, and experience with cloud platforms like Azure are crucial, and certifications such as Microsoft Certified: Data Analyst Associate can be advantageous. Strong analytical thinking, problem-solving, and effective communication help in translating business requirements into actionable data insights. These skills ensure the delivery of accurate, impactful dashboards and reports that drive informed decision-making within organizations.

How do Power BI data engineers typically collaborate with business analysts and stakeholders during a project?

Power BI Data Engineers work closely with business analysts and stakeholders to understand reporting needs, translate requirements into technical solutions, and ensure data models support actionable insights. They often participate in requirement-gathering sessions, clarify data sources, and provide expertise on data integration and visualization best practices. Regular communication and feedback loops are essential to ensure the final dashboards and reports meet business objectives and remain scalable for future enhancements.

What is the difference between Power Bi Data Engineer vs Power BI Developer?

AspectPower Bi Data EngineerPower BI Developer
Primary FocusBuilding data pipelines, data architecture, and integrating data sourcesCreating reports, dashboards, and visualizations for end-users
Skills & CertificationsData modeling, ETL processes, SQL, Azure Data servicesPower BI, DAX, data visualization, report design
Work EnvironmentData warehouses, backend data systems, cloud platformsBusiness units, end-user reporting, front-end visualization
Common UsageData engineering teams, BI infrastructure setupBusiness analysts, report creators, end-user support

While both roles work with Power BI, the Power Bi Data Engineer primarily focuses on data infrastructure, pipelines, and integration, whereas the Power BI Developer concentrates on designing and developing reports and dashboards for business insights.

Is Power Bi Data Engineer still in demand in 2026 and after 2026?

Power BI Data Engineers are expected to remain in demand beyond 2026 due to ongoing needs for data visualization, reporting, and analytics in organizations. As businesses increasingly rely on data-driven decision-making, skills in Power BI, data modeling, and cloud integration will continue to be valuable in the job market.

Is Power Bi Data Engineer still in demand?

Power BI Data Engineers are in high demand due to the increasing need for data visualization and analytics in organizations. Skills in data modeling, ETL processes, and proficiency with Power BI tools are valuable, and demand is expected to grow as companies prioritize data-driven decision-making.

What are popular job titles related to Power Bi Data Engineer jobs in Missouri?

For Power Bi Data Engineer jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Power Bi Data Engineer jobs in Missouri look for?

The top searched job categories for Power Bi Data Engineer jobs in Missouri are:

Infographic showing various Power Bi Data Engineer job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

$110K - $133K/yr

Full-time

Re-posted 2 days ago


Job description

The Data Engineer helps design, build, and maintain pipelines and platforms that power our data-driven decisions across the enterprise. This role will work across cloud platforms, digital systems, and analytics tools to ensure our data is reliable, scalable, and ready for everything from business reporting to advanced AI applications.

At Build-A-Bear, our data fuels creativity, efficiency, and innovation, connecting millions of guests to memorable experiences. The Data Engineer will help build the foundation that powers these experiences.

Responsibilities:

  • Design, build, and maintain scalable data pipelines and integrations across multiple enterprise systems.
  • Develop and maintain data models, ETL/ELT workflows, and orchestration logic within cloud data environments.
  • Collaborate to define data requirements and ensure alignment between business needs and technical solutions.
  • Implement data quality validation, monitoring, and governance processes.
  • Optimize performance and efficiency of existing data processes, enabling faster insights and reduced latency.
  • Partner with IT Security and Privacy teams to enforce data access controls and compliance standards.
  • Support development of reusable frameworks for data ingestion, transformation, and storage.
  • Document technical designs, data dictionaries, and workflows for transparency and maintainability.
  • Stay current on data engineering best practices, tools, and emerging trends in analytics, AI, and automation.

Required Qualifications:

  • 5+ years of experience in data engineering, data warehousing, or analytics platform development
  • Bachelor’s degree in computer science, information systems, data engineering, or related field
  • Skilled in SQL and familiarity with Python, Spark, or other scripting languages for data manipulation
  • Expert with cloud-based data ecosystems, ideally Microsoft Azure (Data Factory, Synapse, Databricks, or Data Lake)
  • Skilled understanding of ETL/ELT design patterns, data modeling, and schema optimization
  • Proficient knowledge of API integrations and real-time data streaming
  • Basic knowledge of BI tools such as Power PI, Tableau, or Looker
  • Excellent communication and critical thinking skills, with the ability to translate technical concepts for business partners

Preferred Qualifications:

  • Experience with Microsoft Dynamics 365, Salesforce, or similar enterprise data sources
  • Understanding of data governance, lineage, and master data management frameworks
  • Exposure to DevOps principles, CI/CD pipelines, and version control
  • Familiarity with Agile or Scrum methodologies
  • Microsoft Certified: Azure Data Engineer Associate or similar certification

Behavioral Traits for Success:

  • Enjoys being recognized for the quality of their work
  • Willingness to work within established standards, guidelines, and procedures
  • Develops strong job knowledge and competency
  • Strong commitment to tasks being completed correctly and on time
  • Thrives in a structured environment
  • Happy accomplishing work as an individual
  • Can work harmoniously with others
  • Communication is factual, polite, and professional

Working Environment:

  • Typical office environment with climate control and sufficient lighting, ergonomic desk/chairs
  • Hybrid work schedule

Your Performance Will Be Measured On:

Your performance will be measured by your ability to achieve annual department objectives and corporate goals which include but are not limited to the following.

  • Decision-making, judgment, and execution
  • System reliability
  • Data throughput and performance metrics
  • Reduction of data defects
  • Accuracy and efficiency
  • Compliance adherence
  • Data integrity
  • Audit readiness
  • Stakeholder Feedback