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Bi Engineer Jobs in Birmingham, AL (NOW HIRING)

BI Solutions Consultant

Birmingham, AL · On-site

$41.25 - $56.25/hr

The McLeod Special Projects Specialist (BI Solutions Consultant, MPact) will provide training and ... with McLeod IQ analysts or developers to document functional specifications for these ...

The McLeod Special Projects Specialist (BI Solutions Consultant, MPact) will provide training and ... with McLeod IQ analysts or developers to document functional specifications for these ...

This role utilizes various analytical and programming skills to develop BI solutions and supports leadership by designing proactive, value-added data models to provide insight into data driven ...

Data Visualization Engineer I

Birmingham, AL · On-site

$107K - $128K/yr

The ideal candidate has experience with modern BI tools, programming languages, and cloud data environments, and demonstrates strong analytical and problem-solving skills. Key Responsibilities ...

Data Engineer

Birmingham, AL · On-site

$107K - $128K/yr

Data Engineer We are looking for a highly skilled Data Engineer to join our team. The ideal ... Proven experience with Power BI and Oracle databases. * Strong understanding of data modeling, ETL ...

Data Engineer

Birmingham, AL · On-site

$107K - $128K/yr

Data Engineer We are looking for a highly skilled Data Engineer to join our team. The ideal ... Proven experience with Power BI and Oracle databases. * Strong understanding of data modeling, ETL ...

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Bi Engineer information

See Birmingham, AL salary details

$36.5K

$95.4K

$128.9K

How much do bi engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for bi engineer in Birmingham, AL is $95,361.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,700.00 and $109,200.00 per year, depending on experience, location, and employer.

What is a BI engineer?

BI Engineers, or Business Intelligence Engineers, are professionals who design, develop, and maintain data solutions to help organizations make informed business decisions. They build and manage databases, data pipelines, and reporting systems that transform raw data into actionable insights. BI Engineers often work with tools such as SQL, ETL (Extract, Transform, Load) frameworks, and visualization platforms like Tableau or Power BI. Their work enables companies to analyze trends, identify opportunities, and improve overall performance.

What skills and qualifications are needed to thrive as a BI engineer?

To thrive as a BI Engineer, you need strong analytical skills, proficiency in data modeling, and a solid background in computer science or information systems. Familiarity with BI tools such as Power BI, Tableau, or Looker, as well as expertise in SQL, ETL processes, and data warehousing technologies, is typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills help you convey complex insights to stakeholders. These skills are crucial for transforming raw data into actionable business intelligence that drives informed decision-making.

How does a BI engineer typically collaborate with data analysts and business stakeholders to deliver actionable insights?

A BI Engineer often works closely with data analysts to design data models, build efficient ETL pipelines, and ensure the accuracy and accessibility of data within business intelligence tools. They partner with business stakeholders to gather requirements, translate business needs into technical solutions, and present data in a way that supports decision-making. Effective communication and a collaborative mindset are crucial, as BI Engineers frequently participate in meetings to align on project goals, clarify data definitions, and iterate on dashboards or reports based on feedback.

What is the difference between Bi Engineer vs Data Analyst?

AspectBi EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering, or related field; often certifications in data toolsBachelor's in Statistics, Mathematics, or related field; certifications in data analysis tools
Work EnvironmentData warehouses, ETL pipelines, cloud platformsData visualization tools, spreadsheets, reporting platforms
Employer & Industry UsageTech companies, finance, healthcare, retailBusiness, marketing, finance, healthcare
Common Search & Comparison IntentUnderstanding technical data infrastructure rolesInterpreting data for business insights

Bi Engineers focus on building and maintaining data pipelines, warehouses, and infrastructure, requiring technical skills in data engineering. Data Analysts interpret data to generate reports and insights, emphasizing analytical skills. While both roles work with data, Bi Engineers handle the technical backbone, whereas Data Analysts focus on data interpretation for decision-making.

Is bi engineering a good career?

Bioengineering is a growing field that combines biology, engineering, and technology to develop medical devices, diagnostics, and healthcare solutions. It offers diverse job opportunities in research, healthcare, and industry, often requiring knowledge of biology, engineering principles, and relevant certifications. The career can be rewarding for those interested in innovation and improving health outcomes.

What are popular job titles related to Bi Engineer jobs in Birmingham, AL?

For Bi Engineer jobs in Birmingham, AL, the most frequently searched job titles are:

What job categories do people searching Bi Engineer jobs in Birmingham, AL look for?

The top searched job categories for Bi Engineer jobs in Birmingham, AL are:

Infographic showing various Bi Engineer job openings in Birmingham, AL as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $95,396 per year, or $45.9 per hour.

Full-time

Re-posted 16 days ago


Job description

COMPANY PROFILE
Diversified Gas & Oil Corporation ("DGOC") is a wholly-owned subsidiary of Diversified Energy Company PLC, a US-based company listed on the New York Stock Exchange (NYSE) and London Stock Exchange (LSE) under the ticker symbol "DEC". Diversified Gas & Oil Corporation (DGOC) is an established owner and operator of producing conventional and unconventional natural gas & oil wells and midstream pipelines and compression stations concentrated in the Appalachian Basin in the United States. Headquartered in Birmingham, AL, our field operations are located throughout the Appalachian Basin in the states of Tennessee, Kentucky, Virginia, West Virginia, Ohio, and Pennsylvania. In 2021, Diversified announced our expansion into our Central Regional Focus Area, which includes producing areas within Louisiana, Texas, Oklahoma, and Arkansas.
POSITION SUMMARY & RESPONSIBILITIES:
The BI Developer / Analyst is a key member of Diversified Energy Company's Business Intelligence & Analytics team, responsible for developing and administering DEC's Power BI and Microsoft Fabric environment, delivering high-quality reports and semantic models, and serving as the primary point of contact for BI intake and governance. This role bridges the technical and business sides of analytics - partnering directly with business units to define requirements and translate them into trusted, actionable data products.
The ideal candidate brings strong Power BI development fundamentals (DAX, Power Query, semantic modeling), working familiarity with Snowflake, and the interpersonal skills to act as a data evangelist across the organization. This is a hands-on, high-visibility role on a small team building a modern data platform, where the right person will have meaningful impact from day one. This role will focus on development responsibilities ~85%-90% of the day.
Key Responsibilities:
Power BI Platform Ownership
  • Serve as the primary administrator of DEC's Power BI / Microsoft Fabric environment; managing workspaces, capacities, permissions, and governance settings.
  • Act as the main point of contact ("air traffic control") for all Power BI activity: intake, prioritization, and quality oversight of reports, dashboards, semantic models, and dataflows.
  • Design, build, and maintain semantic models, reports, dashboards, and dataflows that meet enterprise standards for performance, accuracy, and maintainability.
  • Support user enablement including; training, documentation, and coaching business users on effective self-service consumption.
  • Own Power BI ecosystem observability; monitoring tenant usage, activity logs, and workspace metadata via the Power BI REST API and admin APIs to support governance, audit readiness, and capacity planning.

Data Modeling & Development
  • Develop robust semantic models using DAX and Power Query (M), applying industry best practices for performance, maintainability, and semantic consistency.
  • Build and maintain Power Query transformations with a strong command of M, ensuring clean, performant data shaping within the semantic layer
  • Design and develop governed, production-grade reports and dashboards balancing visual clarity, performance, and adherence to enterprise standards for layout, branding, and metric consistency
  • Leverage emerging AI and agentic capabilities in BI workflows; including MCP server integrations, Snowflake Cortex Analyst, and Power BI Copilot to accelerate development, enhance governed natural language querying, and extend the reach of self-service analytics.

Snowflake & Data Platform Collaboration
  • Work within DEC's Snowflake-based modern data platform; read, understand, and consume Gold-layer tables and semantic views produced by the data engineering team.
  • Collaborate with data engineers to align on data model definitions, semantic layer governance, and query optimization.
  • Participate in data quality discussions and contribute to the documentation of business logic in Snowflake.
  • Develop governed front-end snowflake artifacts for enterprise-wide use.

Business Partnering & Requirements
  • Partner cross-functionally with business units to understand decision needs, define requirements, and scope BI projects.
  • Facilitate working sessions and requirements workshops; translate business questions into actionable data and reporting solutions.
  • Apply structured requirements methodologies to ensure analytics output drives real business value.

BI Champion & Center of Excellence
  • Champion a data-driven culture across DEC; advocating for governed self-service analytics, consistent metric definitions, and responsible data usage.
  • Bring a platform-agnostic mindset to analytics delivery; deeply fluent in Power BI and Microsoft Fabric, but capable of evaluating and adapting to emerging BI platforms
  • Contribute to the Power User Group (PUG) and broader BI community of practice; mentor business-side power users.
  • Stay current on Power BI, Microsoft Fabric, and Snowflake roadmap features; proactively recommend adoption of capabilities that advance DEC's analytics maturity.

Technical Stack
BI Platform: Power BI, Microsoft Fabric
Data Platform: Snowflake, Azure/Fabric
Scripting & Automation: DAX, M, SQL, Power BI REST API scripting, MCP
AI: Copilot, Cortex, Claude Code
POSITION REQUIREMENTS:
  • 5+ years of hands-on Power BI development experience, including semantic model design, DAX authoring, and report/dashboard delivery.
  • Power BI administration experience: workspace management, deployment pipelines, gateway configuration, and tenant settings.
  • Strong DAX proficiency; base measures, time intelligence, semi-additive measures, calculation groups or equivalent patterns.
  • Solid Power Query (M) skills for data transformation and shaping.
  • Familiarity with SOX compliance considerations in a BI environment; including change control, audit logging, and version management of reports and semantic models.
  • Exposure to Snowflake: able to read and write SQL against Snowflake tables, understand schema organization, and consume data from a cloud warehouse environment.
  • Demonstrated ability to work cross-functionally with business stakeholders to gather requirements and translate them into BI solutions.
  • Strong written and verbal communication skills; able to present technical concepts to non-technical audiences.
  • Working knowledge of Python for data processing or automation tasks preferred.
  • Familiarity with dbt (data build tool) or similar transformation frameworks.
  • Experience in oil & gas, energy, or a similarly complex operational industry preferred.
  • Familiarity with Snowflake Cortex or AI-augmented analytics capabilities.

Office Physical Requirements and Working Conditions:
  • Prolonged periods working at a desk in front of a computer.

Additional Requirements:
  • Must be able to lift up to 15 pounds at a time.