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Data Bi Engineer Jobs in Oklahoma (NOW HIRING)

System One

Data Platform Lead

Tulsa, OK · On-site

... 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 ...

System One

Data Platform Lead

Tulsa, OK · On-site

... 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 ...

Dental Depot

Data Analyst

Oklahoma City, OK · On-site

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 ...

Addison Group

Data Solutions Developer

Oklahoma City, OK · On-site

$70K - $90K/yr

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 ...

Stem Xpert

Data Architect

Tulsa, OK

$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 ...

Addison Group

Data Solutions Developer

Oklahoma City, OK · On-site

$70K - $90K/yr

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 ...

Addison Group

Data Solutions Developer

Oklahoma City, OK · On-site

$70K - $90K/yr

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 ...

Oneok, Inc.

Engineer II (ILI Data Analysis)

Tulsa, OK · On-site

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 ...

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All JobsData Bi Engineer JobsData Bi Engineer Jobs in Oklahoma

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 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 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.
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 job categories do people searching Data Bi Engineer jobs in Oklahoma look for? The top searched job categories for Data Bi Engineer jobs in Oklahoma are:
What cities in Oklahoma are hiring for Data Bi Engineer jobs? Cities in Oklahoma with the most Data Bi Engineer job openings:
Data Bi Engineer jobs near you
Infographic showing various Data Bi Engineer job openings in Oklahoma as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

DevOps Engineer II - Data and Analytics

Expand Energy

Oklahoma City, OK • On-site

$43.25 - $59.25/hr

Full-time

Re-posted 2 days ago

Job description

Our core values - Stewardship, Character, Collaborate, Learn, Disrupt - are the lens through which we evaluate every business decision. As a dynamic, growing company that offers extremely competitive compensation and benefits, our employees are our most valued assets and the foundation of Expand's performance among our E&P competitors.

We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team. We realize that, historically, underrepresented groups feel the need to be 100% qualified in order to apply. If you meet any combination of our requirements, we encourage you to apply. We strive to hire people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger.

Job Summary

This position is a technical role responsible for ensuring the reliability, scalability, and operational excellence of enterprise data and analytics platforms and related technologies. This role partners closely with developers, data engineers, and platform owners to design resilient systems, improve deployment practices, and automate operations.

This position contributes to DevOps and cloud engineering practices by supporting automation efforts, enhancing system observability, and assisting with incident response and continuous improvement initiatives. This role combines hands-on technical skills with a focus on system performance, reliability, and operational efficiency across a diverse enterprise platform landscape.

Job Duties & Responsibilities
  • Partner with data engineering, application, analytics, and platform teams to design and support reliable, scalable, and secure systems, including data warehouse, lakehouse, analytics, and data integration platforms
  • Develop strong working knowledge of supported data platforms and services, including Snowflake, Databricks, dbt, Sigma, Azure, and related cloud services, to identify reliability risks, performance issues, and cost optimization opportunities
  • Support administration and configuration of Snowflake environments, including warehouse management, access controls, performance optimization, resource monitoring, and cost governance
  • Support analytics platform operations for tools such as Sigma or similar BI/analytics platforms, including workspace configuration, connection health, availability, and performance troubleshooting
  • Design and implement infrastructure and platform automation using infrastructure-as-code, configuration management, and scripting practices
  • Participate in incident response efforts, including troubleshooting, root cause analysis, and post-incident reviews across data platforms, pipelines, and related services
  • Develop and maintain observability solutions for data platforms and pipelines, including monitoring, logging, alerting, data pipeline health checks, and operational dashboards
  • Identify and eliminate manual operational processes through scripting, automation, self-service capabilities, and platform engineering solutions
  • Collaborate with data engineering and analytics teams to improve performance, fault tolerance, resiliency, and operational reliability across data pipelines and analytics workloads
  • Contribute to capacity planning, cost optimization, and scalability initiatives, including Snowflake credit usage, Databricks compute utilization, and cloud resource consumption
  • Assist with the setup, administration, and operational support of AI/ML and data science platforms, including environments for model development, deployment, monitoring, and secure access
  • Evaluate and recommend tools, technologies, and approaches to improve data platform reliability, engineering productivity, and analyst experience
  • Document architecture, operational processes, runbooks, automation patterns, and reliability standards
Job Specific Skills

Cloud & Platform Engineering

  • Experience deploying and supporting infrastructure using infrastructure-as-code tools such as Terraform, ARM, Bicep, or similar technologies
  • Experience supporting and administering enterprise SaaS and PaaS platforms, including configuration, environment management, and operational support
  • Strong foundational knowledge of operating systems, including Linux and Windows Server
  • Understanding of distributed systems, microservices architectures, data pipelines, and resiliency patterns

Identity, Security & Networking

  • Working knowledge of identity and access management concepts, including integration with identity providers (e.g., Azure AD/Entra ID), single sign-on (SSO), and role-based access controls
  • Familiarity with modern authentication and authorization patterns, including OAuth 2.0, OpenID Connect (OIDC), and token-based access for APIs and services
  • Familiarity with networking and security concepts for cloud and SaaS platforms, including VNET/VPC configuration, private connectivity, and secure service access
  • Experience managing secrets and secure configuration using tools such as Azure Key Vault or similar vault technologies

DevOps & Automation

  • Experience building and supporting CI/CD pipelines using tools such as Azure DevOps, GitHub, or similar platforms
  • Understanding of DevOps practices, including deployment automation, environment management, release strategies, and change control
  • Proficiency in scripting and automation using tools such as Python, PowerShell, Bash, or similar scripting languages
  • Experience automating platform operations through APIs, SDKs, command-line tools, or workflow automation
  • Familiarity with automating routine data platform operations such as access provisioning, job retries, health checks, usage reporting, and environment configuration

Observability & Reliability

  • Experience with monitoring and observability tools such as Splunk, Azure Monitor, Datadog, Grafana, Prometheus, or similar platforms for log aggregation, alerting, and operational insights
  • Understanding of incident management, problem management, and reliability practices, including ITIL-based or similar operational processes
  • Familiarity with performance tuning, system optimization, and capacity planning concepts
  • Understanding of data pipeline reliability concepts, including job monitoring, failure alerting, dependency tracking, retry patterns, and service-level expectations
  • Awareness of AIOps concepts, intelligent alerting, and automation in support of system and platform reliability

Data, Analytics & AI Platforms

  • Experience with enterprise data and analytics platforms such as Snowflake, Databricks, dbt, Sigma, or similar systems, with the ability to support environments and troubleshoot operational issues
  • Working knowledge of Snowflake administration concepts, including warehouse management, RBAC, query performance, resource monitoring, cost governance, and secure data sharing
  • Working knowledge of BI and analytics platforms such as Sigma, Power BI, Tableau, or similar tools, including workspace management, connection monitoring, and performance troubleshooting
  • Working knowledge of data orchestration and pipeline tools such as Azure Data Factory, dbt Cloud, Airflow, Prefect, or similar platforms
  • Understanding of lakehouse and cloud data storage patterns, including Delta Lake, ADLS, S3, or similar technologies
  • Knowledge of AI/ML and data science platforms, including environments used for model development, deployment, monitoring, access management, and operational support
Education

Minimum: High school diploma or GED

Preferred: Bachelor's degree - from accredited university - IT, MIS, Computer Science or related field

Experience

Minimum: 2 years related work experience

Expand Energy takes necessary action to ensure that all applicants are treated without regard to their race, color, religion, sex, sexual orientation, age, gender identity, national origin, genetic information, disability, pregnancy, military or veteran status or any other protected characteristic as established by law.

Expand Energy Corporation's operations are focused on discovering and developing its large and geographically diverse resource base of unconventional oil and natural gas assets onshore in the United States.

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