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Data Bi Engineer Jobs in Oklahoma (NOW HIRING)

... engineering, or business intelligence development3+ years working with Microsoft data platforms such as Power BI, Azure, or Microsoft FabricMicrosoft Fabric expertise including Lakehouse architecture ...

Experience with Microsoft Fabric technologies, including Data Factory, Dataflows Gen2, Synapse, OneLake, and Power BI (Level II and above). * Knowledge of source control, CI/CD pipelines, and DevOps ...

Engineer II (ILI Data Analysis)

Tulsa, OK · On-site +1

$104K - $125K/yr

While an Engineering degree is preferred, other applicable degrees such as Computer Science ... Data Modeling and visualization experience preferred (SQL, Power BI, Spotfire, etc.) Licenses and ...

Engineer analysis pipelines iteratively to provide insights at scale. Develop comprehensive ... BI, RShiny, plotly, and d3.js. * Applied experience with machine learning on large datasets using ...

Engineer analysis pipelines iteratively to provide insights at scale. Develop comprehensive ... BI, RShiny, plotly, and d3.js. * Applied experience with machine learning on large datasets using ...

... engineering, or business intelligence development * 3+ years working with Microsoft data platforms such as Power BI, Azure, or Microsoft Fabric * Microsoft Fabric expertise including Lakehouse ...

... engineering, or business intelligence development * 3+ years working with Microsoft data platforms such as Power BI, Azure, or Microsoft Fabric * Microsoft Fabric expertise including Lakehouse ...

Data Architect

Tulsa, OK · On-site

$55.25 - $71/hr

The company is primarily focused on information technology, engineering, healthcare, financial ... and BI, advanced data analytics and Big Data. Coordinates with Business Intelligence/Reporting ...

Data Architect

Tulsa, OK · On-site

$55.25 - $71/hr

The company is primarily focused on information technology, engineering, healthcare, financial ... and BI, advanced data analytics and Big Data. Coordinates with Business Intelligence/Reporting ...

This position reports directly to the Senior Business Intelligence Engineer and supports the ... Support the Business Intelligence team in building, maintaining, and optimizing Power BI dashboards ...

Data Architect

Tulsa, OK · On-site

$58.25 - $75/hr

The company is primarily focused on information technology, engineering, healthcare, financial ... and BI, advanced data analytics and Big Data. Coordinates with Business Intelligence/Reporting ...

Experience with data visualization tools such as Power BI, Tableau, or similar platforms ... CI/CD and DevOps practices * Active Directory integration and enterprise environments Apply today ...

Showing results 21-40

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 Oklahoma?

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

What cities in Oklahoma are hiring for Data Bi Engineer jobs?

Cities in Oklahoma with the most Data Bi Engineer job openings:

Infographic showing various Data Bi Engineer job openings in Oklahoma as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Platform Lead

MIRATECH Corporation

Tulsa, OK • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago


Key responsibilities

  • Own and manage the organization's data ecosystem within Microsoft Fabric and Power BI.

  • Design, develop, and maintain scalable data architecture, pipelines, and data models to support analytics and reporting.

  • Partner with business stakeholders to define data needs, improve data governance and quality, and identify opportunities for expanding analytics capabilities.


Job description

Reports to: VP of Digital TechnologyCooperates with: Software Development, Enterprise Platforms, Engineering, Sales, IT, Operations, Product DevelopmentLocation: Tulsa, OKPrimary Responsibility: Responsible for owning and advancing the organization's data ecosystem by designing, building, and maintaining scalable data solutions within Microsoft Fabric and Power BI. This role develops data pipelines, creates reliable data models, and delivers analytics-ready datasets that enable business intelligence and reporting across the organization. This role also partners with business stakeholders to define a data roadmap, improve data governance and quality, and identify opportunities to expand data-driven decision-making and analytics capabilities What You'll Do:Own and manage the organization's data ecosystem within Microsoft Fabric and Power BIDesign and maintain scalable data architecture including lake house structures, semantic models, and datasetsDevelop and maintain data pipelines for ingesting, transforming, and integrating data from multiple systemsBuild and optimize enterprise Power BI datasets and reports to support decision-making across the organizationDevelop and maintain data models that support consistent and reliable analyticsEstablish and maintain data governance, data quality, and documentation standardsCreate and maintain a long-term data roadmap aligned with organizational strategy and analytics maturity goalsIdentify opportunities to expand advanced analytics capabilities such as predictive analytics, self-service BI, and automated insightsPartner with business leaders and stakeholders to understand data needs and prioritize analytics initiativesEnsure performance, scalability, and reliability of the data platformImplement best practices for data security, access controls, and complianceSupport and enable self-service analytics across departments through standardized datasets and semantic modelsUnderstanding of Data Loss Prevention (DLP) policies and tools, including implementing and managing data protection controls within Microsoft Fabric, Power BI, and the broader Microsoft ecosystemMonitor and troubleshoot data pipelines, reports, and platform performanceContinuously evaluate new capabilities within Microsoft Fabric and Power BI to improve analytics across the organizationHow to Qualify:Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent combination of education and experience.5+ years of experience in data engineering, analytics engineering, or business intelligence development3+ years working with Microsoft data platforms such as Power BI, Azure, or Microsoft FabricMicrosoft Fabric expertise including Lakehouse architecture, Data Factory pipelines, notebooks, and semantic modelsAdvanced Power BI development including data modeling, DAX, report optimization, and enterprise dataset managementStrong SQL proficiency for querying, transformation, and performance optimizationData modeling expertise, including star schema, dimensional modeling, and semantic layer designExperience building and managing data pipelines for ingestion, transformation, and orchestrationUnderstanding of modern data architectures, including data lakes, lake houses, and warehouse conceptsExperience with ETL/ELT processes and data transformation frameworksAbility to design scalable data platforms that support enterprise analytics and reportingDesign and enforce Data Loss Prevention (DLP) policies to safeguard sensitive data, ensure compliance with organizational standards, and prevent unauthorized data access or sharing across the data platformExperience implementing data governance and data quality practicesStrong understanding of business intelligence concepts and KPI developmentExperience integrating data from multiple sources such as ERP, CRM, SaaS platforms, and operational systemsKnowledge of data security and access management within Microsoft environmentsStrong analytical and problem-solving skills with the ability to translate business needs into technical solutionsExperience with version control and development best practicesStrong communication skills for working with business stakeholders and leadership What Sets You Apart:Experience building or leading a data platform practice, team, or Center of Excellence from the ground up or through a significant growth phase.Track record of end-to-end platform ownership: from architecture design through scaled adoption, including driving self-service BI adoption across non-technical business users.Knowledge of environmental manufacturing processes and sustainability practices. Experience working in a fast-paced, Agile environment. Ability to manage multiple priorities and stakeholders effectively. Experience coordinating with IT infrastructure, cybersecurity, and enterprise governance processes What We Offer:Health, Dental & Vision InsuranceAnnual Bonus Program$350 Annual Wellness CreditFlexible Spending Account (FSA)401k with match up to 5%Life insuranceDisability insurance5 days of paid sick leave annually (prorated based on start date)15 days PTO annually (prorated based on start date) Equal Opportunity: MIRATECH is an equal opportunity employer and supports a diverse and inclusive workforce. All employment practices are based on qualification and merit, without regards to race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation or preference, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal laws and regulations.
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