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Data Bi Engineer Jobs in Minnesota (NOW HIRING)

Data Engineer

Bloomington, MN · On-site

$115K - $138K/yr

Under the direction of the Data & BI lead, the Data Engineer will play a key role in designing, developing, and maintaining our data architecture and business intelligence capabilities. The Data ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

We are seeking a highly skilled Power BI Data Engineer who combines deep technical expertise in data engineering with exceptional data visualization abilities. This hands-on role requires someone who ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

We are seeking a highly skilled Power BI Data Engineer who combines deep technical expertise in data engineering with exceptional data visualization abilities. This hands-on role requires someone who ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

We are seeking a highly skilled Power BI Data Engineer who combines deep technical expertise in data engineering with exceptional data visualization abilities. This hands-on role requires someone who ...

BI Developer

Saint Paul, MN · On-site

$95K - $105K/yr

Summary An Encore BI Developer will be responsible for designing, building, and maintaining ... Perform thorough data validation and quality assurance to ensure accuracy, consistency, and ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

We are seeking a highly skilled Power BI Data Engineer who combines deep technical expertise in data engineering with exceptional data visualization abilities. This hands-on role requires someone who ...

Power BI Data Engineer

Minneapolis, MN · On-site

$105K - $120K/yr

We are seeking a highly skilled Power BI Data Engineer who combines deep technical expertise in data engineering with exceptional data visualization abilities. This hands-on role requires someone who ...

Summary An Encore BI Developer will be responsible for designing, building, and maintaining ... Perform thorough data validation and quality assurance to ensure accuracy, consistency, and ...

This role partners with Finance Leaders, data consumers and cross-functional data teams to ... Engineer reusable DAX measures and KPI definitions; document metric logic and ensure alignment to ...

Position Summary The Senior Cogito BI Developer provides advanced analytic support to functional ... This role drives the delivery of data solutions using Epic's Cogito suite of tools (including ...

... data visualizations, drill downs, and heat maps Analyze business requirements for reports and ... BI, Tableau, etc.) Thanks & Regards ASHOK KUMAR Sr. Lead / IT Recruiter Paradigm Infotech Call ...

Work closely with Data Science, BI, Market Research, and the Analytics Product Owner to turn ... Engineering depth. Deep proficiency in SQL and Python. Strong working knowledge of cloud data ...

Work closely with Data Science, BI, Market Research, and the Analytics Product Owner to turn ... Engineering depth. Deep proficiency in SQL and Python. Strong working knowledge of cloud data ...

Data Platform Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

They are seeking a Data Platform Engineer to build and operationalize a modern data platform using Microsoft Fabric, ensuring reliability and efficiency while collaborating with data engineers and BI ...

Data Engineer

Bloomington, MN

$115K - $138K/yr

Under the direction of theData & BI lead,theData Engineer will play a key role in designing, developing, andmaintainingour data architectureand business intelligence capabilities.The Data Engineer ...

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Showing results 1-20

Data Bi Engineer information

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines, which require complex problem-solving and domain expertise. Instead, AI tools can automate routine tasks, allowing data engineers to focus on architecture, data quality, and strategic analysis. Skills in programming, cloud platforms, and data management remain essential for the role.

What are Data BI Engineers?

Data BI (Business Intelligence) Engineers are professionals who design, build, and maintain systems that transform raw data into meaningful business insights. They develop data pipelines, integrate various data sources, and create reports or dashboards to support decision-making processes. Their work ensures that companies have accurate, timely, and actionable information to drive strategy and operations. Data BI Engineers typically work closely with data analysts, data scientists, and business stakeholders.

What is the difference between Data Bi Engineer vs Data Analyst?

AspectData Bi EngineerData Analyst
Primary FocusBuilding data pipelines, data warehousing, and integrating data systemsAnalyzing data to generate reports and insights
Skills & ToolsSQL, ETL processes, data modeling, cloud platformsExcel, SQL, visualization tools like Tableau or Power BI
Work EnvironmentData engineering teams, IT departments, cloud environmentsBusiness units, analytics teams, management
CredentialsData engineering certifications, SQL, cloud certificationsData analysis certifications, SQL, visualization skills

While both roles work with data, Data Bi Engineers focus on building and maintaining data infrastructure, whereas Data Analysts interpret data to provide actionable insights. Understanding these differences helps organizations assign the right responsibilities and professionals for their data needs.

How does a Data BI Engineer typically collaborate with business stakeholders and data analysts?

A Data BI Engineer frequently works with business stakeholders and data analysts to understand data requirements, translate business needs into technical specifications, and ensure data solutions align with organizational goals. This role often involves participating in meetings to gather requirements, sharing progress updates, and iterating on dashboards or data pipelines based on feedback. Effective communication is key, as Data BI Engineers must bridge the gap between technical data structures and actionable business insights. Regular collaboration helps ensure that the data solutions provided are both technically sound and valuable for decision-making.

What is a BI data engineer?

A BI data engineer designs, builds, and maintains data pipelines and systems to support business intelligence and analytics. They work with tools like SQL, ETL processes, and data warehouses to ensure data is accurate, accessible, and ready for analysis by data analysts and scientists.

What are the key skills and qualifications needed to thrive as a Data BI Engineer, and why are they important?

To thrive as a Data BI Engineer, you need strong skills in data modeling, SQL, ETL processes, and a background in computer science or a related field. Familiarity with BI tools such as Power BI, Tableau, or Looker, as well as experience with data warehouses and cloud platforms like AWS or Azure, is typically required. Critical thinking, problem-solving, and effective communication are crucial soft skills for translating data insights into actionable business recommendations. These skills and qualities are essential for building reliable data solutions that empower organizations to make informed, data-driven decisions.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation is often associated with leadership roles, specialized expertise, or working in high-demand industries such as finance or technology firms.

What is the salary of a BI engineer in the US?

The average salary of a Business Intelligence (BI) Engineer in the US ranges from $80,000 to $130,000 annually, depending on experience, location, and skills. Senior BI engineers with expertise in tools like Tableau, Power BI, or SQL can earn higher salaries, often exceeding $140,000. Certifications and proficiency in data modeling and ETL processes can also influence compensation.
What are popular job titles related to Data Bi Engineer jobs in Minnesota? For Data Bi Engineer jobs in Minnesota, the most frequently searched job titles are:
What cities in Minnesota are hiring for Data Bi Engineer jobs? Cities in Minnesota with the most Data Bi Engineer job openings:
Data Engineer

Data Engineer

Braun Intertec

Bloomington, MN • On-site

$115K - $138K/yr

Full-time

Posted 28 days ago


Braun Intertec rating

7.9

Company rating: 7.9 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

156th of 355 rated engineering


Job description

***NO SPONSORSHIP, LOCAL CANDIDATES to Minneapolis/St. Paul ONLY***
Under the direction of the Data & BI lead, the Data Engineer will play a key role in designing, developing, and maintaining our data architecture and business intelligence capabilities. The Data Engineer will ensure the efficient flow, management, and consumption of data across our business systems. This role will collaborate with cross-functional teams to understand data requirements, implement robust data pipelines, and contribute to the overall data strategy of the organization.
ESSENTIAL AND PRIMARY RESPONSIBILITIES
  • Plan and execute phases of the software development life cycle (SDLC) for a variety of data warehouse projects and business intelligence support activities.

  • In conjunction with Business Systems Analysts and Business Process Owners, is responsible for communication and interaction with various stakeholders.

  • Facilitate the preparation and documentation of requirements including functional and technical design specifications.

  • Design, code, test, and document all new or modified BI systems, data pipelines, applications, and programs.

  • Develop the semantic layer, metadata, reports, and report definitions.

  • Produce ETL design guidelines to ensure a manageable ETL infrastructure for the BI system.

  • Coordinate and work with other technical staff to develop and implement database architectures, coding standards, and quality assurance policies and procedures.

  • Plan and implement capacity and resource expansion to ensure data warehouse scalability.

  • Build relationships with application and infrastructure teams to gain an understanding of data architectures and required functionality.

  • Orchestrate business intelligence projects and corresponding strategies between business units and development teams.

  • Design and implement redundant systems, policies, and procedures for disaster recovery and data archiving to ensure effective availability, protection, and integrity of data assets.

  • Identify inefficiencies and gaps in current data warehouses and leverage solutions to ensure data standards.

  • Diagnose and resolve data warehouse access and performance issues.

REQUIRED COMPETENCIES & SKILLS
Inclusivity & Core Values. Braun Intertec employee owners are required to carry out Braun Intertec Values every day and as such must possess the following competencies:
  • Actively demonstrates a commitment to creating an inclusive workplace through active listening to and inclusion of diverse perspectives; demonstrates respect for all and actively works to build trust-based relationships with colleagues and clients.

  • Demonstrates commitment to working safely; fully participates in Company's safety initiatives and policies; always looks out for the health and safety of self and others.

  • Is consistently responsive and follows through on commitments to self and others; provides the information others need to know to do their jobs and to feel good about being a member of the team and Braun Intertec.

  • Shows initiative and commitment to ongoing learning, growth, and development; willingness to openly seek, receive, and give respectful feedback; commitment to continuous improvement of self, responsibilities, and processes.

  • Champions the Employee-Owned Stock Ownership Plan through participation in the Plan and ESOP activities and events.

  • Actively acknowledges, recognizes, and celebrates the contribution of others.

Position Requirements In addition, this position requires the following skills:
  • High customer service orientation.

  • Strong written and oral communication skills.

  • Experience working in a team-oriented, collaborative environment.

  • Attention to detail with excellent organizational and planning skills.

  • Balance of business acumen and business process knowledge with technical skills and capabilities.

  • Exceptional analytical, conceptual, and problem-solving abilities.

  • Ability to work in a dynamic work environment with competing priorities.

  • Strong communication and interpersonal skills including the ability to collaborate, influence and partner up and across the organization.

Minimum Experience, Education, and Technical Skills:
Formal Education:
  • Associate or bachelor's degree in computer science, software engineering or 5+ years equivalent related IT experience.

Knowledge & Experience:
  • 5+ years working technical experience with designing, building, installing, configuring, and supporting Lakehouse, data warehouses.

  • 3+ years' experience with databases and cloud platforms.

  • 3+ years' experience with SQL, Spark SQL and pipelines. Experience with cloud data platforms Microsoft Fabric, Azure Synapse, Azure Data Factory, and Power BI.

  • 3+ years' experience with data architecting, data mining, large-scale data modeling, data warehousing, data lake housing, and semantic models is a must.

  • Expert in Power BI data models using advanced Power Query and DAX.

  • Experience working on business reporting requirements gathering/analysis.

  • Familiarity with D365 Financial and Operations, Project Operations and Customer Experience data models is preferred

  • Strong understanding of relational database structures, theories, principles, and practices.

  • Experience with data processing flowcharting techniques.

  • Good knowledge of applicable data privacy practices and laws.

Work/Environment and Physical Requirements (with or without accommodation)
  • Office type environment, using computer, telephone, other office equipment as needed to perform duties.

  • This position requires the ability to sit for long periods of time, and to work in a fast-paced environment.

Travel Requirements
  • Position is primarily remote, with the occasional need to come to the office (Bloomington, MN).

  • Position may require some limited travel (locally and throughout United States); Less than 5% annually.

#LI-CT1
#LI-hybrid
Compensation Range:
$88,000.00 - $131,000.00
As an EEO/Affirmative Action Employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, veteran or disability status.
Braun Intertec strives to ensure that its careers web site is accessible to all. If you need assistance completing your online application, please email hrhelp@braunintertec.com.
As an Equal Opportunity Employer, Braun Intertec is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you need a reasonable accommodation to assist with your job search or application for employment, please e-mail us at hrhelp@braunintertec.com. In your e-mail, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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