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Bi Engineer Jobs in Alabama (NOW HIRING)

... developer and influencer of peers. Preferred : • Proficiency in Python, R, or other statistics platform • BI tool certification Company : Motion serves the industrial marketplace with MRO ...

Data Engineer, Finance

Birmingham, AL · On-site

$107K - $128K/yr

... BI workspaces, ensuring appropriate access controls aligned with Finance data governance ... developers and data scientists to support advanced analytics and AI initiatives. • Ensures ...

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 ...

TAGM Data Engineer

Redstone Arsenal, AL · On-site

$116K - $140K/yr

TAGM Data Engineer Program Summary KBR's Defense and Technology Solutions division delivers mission ... Advanced proficiency in Microsoft Power BI (including DAX and Power Query). • Strong command of ...

TAGM Data Engineer

Redstone Arsenal, AL · Hybrid

$116K - $140K/yr

TAGM Data Engineer Program Summary KBR's Defense and Technology Solutions division delivers mission ... Develop, publish, and maintain interactive Power BI dashboards and reports. Translate complex ...

Data Engineer, Finance

Birmingham, AL · On-site

$107K - $128K/yr

... BI workspaces, ensuring appropriate access controls aligned with Finance data governance ... developers and data scientists to support advanced analytics and AI initiatives. • Ensures ...

AI Process Engineer (Must be a citizen to be eligible) This role focuses on using machine data ... Experience with Power BI or similar analytics and reporting tools to create dashboards and ...

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Showing results 21-40

Bi Engineer information

See Alabama salary details

$35.3K

$92.2K

$124.6K

How much do bi engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for bi engineer in Alabama is $92,227.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,100.00 and $105,600.00 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 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.

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 job categories do people searching Bi Engineer jobs in Alabama look for? The top searched job categories for Bi Engineer jobs in Alabama are:
What cities in Alabama are hiring for Bi Engineer jobs? Cities in Alabama with the most Bi Engineer job openings:
Infographic showing various Bi Engineer job openings in Alabama as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $92,227 per year, or $44.3 per hour.

Data, Analytics & AI Engineer ONI

O'Neal Industries

Birmingham, AL • On-site

$107K - $128K/yr

Full-time

Re-posted 3 days ago


Job description

Responsibilities Include but Are Not Limited To:
Data Engineering & Analytics Platform
  • Design, build, and maintain reliable, scalable data pipelines using Boomi and Azure Data Factory to integrate data from ERP, EHS, operational, and corporate systems.
  • Develop and manage curated data models in Azure SQL and future MS Fabric environment lake house or warehouse architectures to support analytics, AI, and reporting use cases.
  • Ensure data quality, consistency, and performance across pipelines, models, and downstream consumers.
  • Contribute to data architecture standards, patterns, and best practices as ONI evolves toward Microsoft Fabric.

Analytics & Reporting
  • Develop and maintain Power BI semantic models, dashboards, and reports that deliver actionable insights to executives and business teams.
  • Partner with stakeholders to translate business questions into metrics, KPIs, and analytical solutions.
  • Promote self-service analytics through well-designed datasets, documentation, and governance.

AI, Machine Learning & Agentic Workflows
  • Identify, prototype, and deliver AI and machine learning solutions that improve decision-making, forecasting, anomaly detection, classification, and automation.
  • Design and implement agentic workflows that combine data, analytics, and AI models to automate multi-step business processes, decision support, and operational actions.
  • Leverage Azure-based AI services and emerging Fabric capabilities (e.g., notebooks, ML, real-time intelligence) to operationalize AI solutions.
  • Act as an internal advocate and advisor on responsible AI adoption, helping business units understand practical and strategic AI opportunities.

Collaboration & Delivery
  • Collaborate with IT, security, and DevOps teams to ensure solutions align with enterprise standards for security, compliance, and reliability.
  • Partner with affiliate companies and cross-functional ONI teams as a resource on key initiatives.
  • Prioritize, scope, and manage data and AI initiatives with clear success metrics and business outcomes.

Continuous Improvement & Innovation
  • Explore, evaluate, and pilot new data, analytics, and AI technologies with a bias toward business value.
  • Contribute to a culture of data-driven decision-making, experimentation, and continuous improvement across ONI.

Required Skills, Abilities and Education:
  • Bachelor's degree or higher in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or a related field.
  • Strong experience building and supporting data pipelines and system integrations, preferably with Azure Data Factory and/or Boomi.
  • Proficiency in SQL and relational data modeling; experience with Azure SQL Database or similar platforms.
  • Hands-on experience developing and maintaining analytics and semantic models using Power BI.
  • Programming experience in one or more languages such as Python (including notebooks), with the ability to apply them to data engineering, analytics, and AI use cases.
  • Experience applying AI/ML techniques to real-world business problems, including model development, evaluation, and operationalization.
  • Strong analytical thinking, problem-solving, and attention to detail.
  • Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.
  • Self-driven, curious, and comfortable working in a dynamic, evolving technical environment.

Desirable Skills, Abilities and Education:
  • Experience or strong interest in Microsoft Fabric, including lake house, warehouse, notebooks, real time analytics, and AI workloads.
  • Familiarity with agentic AI patterns, workflow orchestration, and automation platforms.
  • Experience supporting enterprise data platforms in regulated or security conscious environments.
  • Understanding of modern data architecture concepts (ELT, semantic layers, governance, lineage).
  • Experience working within large, distributed organizations or multi affiliate environments.
  • Strong customer focused mindset with the ability to manage expectations and build trusted partnerships.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.