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Data Bi Engineer Jobs in Montana (NOW HIRING)

Make Choteau Home

Data Engineer - Billings

Billings, MT · On-site

$90 - $130/hr

Position Summary The Data Engineer supports the Bank's enterprise data environment by building and ... Prepare trusted datasets for Power BI dashboards, reports, and management reporting. * Partner with ...

Posted today

onX

Staff Data Engineer

Bozeman, MT · On-site +1

ABOUT THIS ROLE The Staff Data Engineer is a senior leader responsible for designing and evolving ... Partner with BI and Analytics to ensure domain models are clearly documented and aligned to ...

onX

Staff Data Engineer

Bozeman, MT · On-site

ABOUT THIS ROLE The Staff Data Engineer is a senior leader responsible for designing and evolving ... Partner with BI and Analytics to ensure domain models are clearly documented and aligned to ...

CCI Systems, Inc.

Data Center Technicians

Billings, MT · On-site

Conduct fiber testing using OTDR (bi-directional and characterization), OLTS / power meter testing ... Coordinate with project managers, engineers, and other field crews. * Produce accurate and complete ...

CCI Systems, Inc.

Data Center Technicians

Billings, MT · On-site

Conduct fiber testing using OTDR (bi-directional and characterization), OLTS / power meter testing ... Coordinate with project managers, engineers, and other field crews. * Produce accurate and complete ...

Magris Talc

Mine Engineer - USA

Cameron, MT · On-site

$90K - $115K/yr

They will maintain and analyze data from the site's technology systems * They will provide survey ... Responsible for bi-yearly ore stockpile inventory surveys and reports. * Participates in corporate ...

onX

Director, Growth Engineering

Missoula, MT

Bridge the gap between Growth data and Data Engineering/BI to improve data warehousing and business metric reporting. * Own the SDLC and enable and execute on solid foundations for operational ...

onX

Director, Growth Engineering

Missoula, MT · On-site

Bridge the gap between Growth data and Data Engineering/BI to improve data warehousing and business metric reporting. * Own the SDLC and enable and execute on solid foundations for operational ...

Tabby LLC

Proficiency in data visualization and BI tools. * Experience in planning data structures for new ... Work alongside a high-performing, international engineering team in a global fintech unicorn ...

Keystone Engineering Inc.

Analyst

Hamilton, MT · On-site

Keystone Engineering Inc. opened for business in 1988 and for decades, has been a reliable provider ... Experience with Power BI for data reporting and dashboard creation What We Offer * Competitive ...

Dellfor Technologies

senior java developer

Montana City, MT

$54.25 - $69/hr

... bi-weekly Sprint end review and retrospect meetings. Played Scrum poker to properly assess the ... Big data experience. * Teamwork & collaboration skills to work across organizations and lead cross ...

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Data Bi Engineer information

What is a Data BI engineer?

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 are the key skills and qualifications needed to thrive as a Data BI engineer?

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.

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 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.

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

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

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

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

Data Bi Engineer jobs near you

Data Engineer - Billings

Make Choteau Home

Billings, MT • On-site

$90 - $130/hr

Other

Posted 22 hours ago

Posted today

Job description

Position Summary

The Data Engineer supports the Bank's enterprise data environment by building and maintaining data pipelines, preparing data for reporting and analytics, and improving data quality and reliability. This role works closely with Technology, Operations, and business teams to move data from banking systems into secure, reliable, and usable reporting structures.

The position is hands-on and execution-focused, supporting data warehousing, reporting, analytics, governance, and emerging artificial intelligence initiatives. The Data Engineer is expected to possess strong analytical and problem-solving skills, attention to detail, and the ability to manage multiple priorities while delivering accurate and dependable data solutions.

Data Engineer Responsibilities Data Pipeline Development
  • Build and maintain data pipelines for reporting and analytics.
  • Support data ingestion from core banking and related business systems.
  • Write, test, and maintain SQL queries, stored procedures, and scripts.
  • Document data flows, source data, and transformation logic.
Data Platform Support
  • Support the Bank's data warehouse, lakehouse, and reporting data structures.
  • Assist with Microsoft Fabric, Power BI, and related data platform initiatives.
  • Monitor scheduled jobs and resolve data processing issues.
  • Improve performance, reliability, and repeatability of production data processes.
Banking Systems Integration
  • Work with data from core banking, digital banking, credit card, mortgage, financial, and third-party systems.
  • Help define secure and maintainable data feeds.
  • Coordinate with system owners, vendors, and technology teams to investigate and resolve data issues.
Data Governance Enablement
  • Apply data quality controls and resolve data exceptions.
  • Maintain metadata, data definitions, and source documentation.
  • Support data governance efforts and regulatory requirements.
  • Ensure adherence to security, privacy, and data management standards.
Analytics Platform Support
  • Prepare trusted datasets for Power BI dashboards, reports, and management reporting.
  • Partner with business teams to understand reporting requirements and data needs.
  • Automate recurring reporting processes and reduce manual data preparation.
  • Support future analytics, machine learning, and AI initiatives through improved data readiness.
Team Collaboration
  • Work closely with Technology, Operations, and business teams.
  • Communicate technical issues in clear and practical business terms.
  • Follow established standards for change management, security, and documentation.
  • Continue developing expertise in data architecture, governance, and cloud-based data platforms.

Qualifications

Technical Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related technical discipline, or an equivalent combination of education and work experience.
  • Two to four years of experience in data engineering, business intelligence, database development, reporting, or data warehouse support.
  • Strong SQL skills.
  • Experience building or supporting ETL/ELT processes.
  • Working knowledge of relational databases and data modeling concepts.
  • Experience with Power BI or similar reporting platforms.
  • Python, PowerShell, or similar scripting experience preferred.
  • Microsoft Fabric or Azure Data Factory experience preferred.
  • Ability to troubleshoot data issues and document findings clearly.
Data and Banking Knowledge
  • Understanding of data warehouse design and reporting structures.
  • Familiarity with dimensional modeling, data quality, data lineage, and metadata concepts.
  • Core banking systems experience preferred.
  • Regulatory reporting experience preferred.
  • Financial institution data environment experience preferred.
  • Banking operations process knowledge preferred.
Success Measures
  • Reliable data pipelines and scheduled data processing jobs.
  • Improved data quality and reduced reporting exceptions.
  • Clear documentation of data sources, transformations, and business logic.
  • Reduced manual effort in recurring management reporting.
  • Continued growth in banking data knowledge and platform capabilities.

For full description, which includes physical mental demands please see attachment.

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