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Business Intelligence Engineer Jobs in Bloomfield, CT

The Hartford

AVP, Data Platform Engineering

Hartford, CT · On-site

$115K - $138K/yr

AVP IT Engineering - IE05AE We're determined to make a difference and are proud to be an insurance ... Analytics & Business Intelligence * Enable enterprise analytics and business intelligence ...

Applied Aerospace & Defense

Data Engineer

Newington, CT

$114K - $136K/yr

Data Architecture and Business Intelligence Design and optimize scalable SQL and Python-based data ... Collect, engineer, and prepare large, diverse datasets for model development, ensuring proper ...

Applied Aerospace & Defense

Data Engineer

Newington, CT

$114K - $137K/yr

The Data Engineer is a strategic technical role responsible for architecting, building, and ... Data Architecture and Business Intelligence * Design and optimize scalable SQL and Python-based ...

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All JobsBusiness Intelligence Engineer JobsBusiness Intelligence Engineer Jobs in Bloomfield, CT

Business Intelligence Engineer information

See Bloomfield, CT salary details

$29

$57

$79

How much do business intelligence engineer jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for business intelligence engineer in Bloomfield, CT is $57.01, according to ZipRecruiter salary data. Most workers in this role earn between $48.99 and $63.65 per hour, depending on experience, location, and employer.

What is a business intelligence engineer?

Business Intelligence Engineers are professionals who design, develop, and maintain systems and processes that help organizations collect, analyze, and interpret data. They create dashboards, reports, and data models that enable business leaders to make informed decisions. Their work typically involves data warehousing, ETL (extract, transform, load) processes, and the use of tools such as SQL, Power BI, or Tableau. BI Engineers bridge the gap between raw data and actionable business insights, playing a crucial role in data-driven organizations.

What are the key skills and qualifications needed to thrive as a business intelligence engineer, and why are they important?

To thrive as a Business Intelligence Engineer, you need strong analytical skills, expertise in data modeling, and a background in computer science or a related field. Proficiency with BI tools like Tableau, Power BI, SQL, and data warehousing systems, as well as certifications in these platforms, are highly valuable. Excellent problem-solving abilities, effective communication, and attention to detail help you translate complex data into actionable business insights. These skills ensure accurate data analysis and reporting, empowering organizations to make data-driven decisions.

How does a business intelligence engineer typically collaborate with data analysts and business stakeholders?

Business Intelligence Engineers work closely with data analysts to design and optimize data models, build robust data pipelines, and ensure accurate reporting. They also engage with business stakeholders to understand their data needs, translate requirements into technical solutions, and provide actionable insights that support decision-making. Regular collaboration involves meetings to review project progress, clarify business objectives, and adjust deliverables based on feedback, fostering a dynamic and cross-functional team environment.

What is the difference between Business Intelligence Engineer vs Data Analyst?

AspectBusiness Intelligence EngineerData Analyst
CredentialsBachelor's in CS, IT, or related field; SQL, BI toolsBachelor's in Statistics, Math, or related field; SQL, Excel
Work EnvironmentDevelops data pipelines, dashboards, reports; collaborates with IT and business teamsAnalyzes data, creates reports, visualizations; works closely with business units
Industry UsageUsed across tech, finance, healthcare for data infrastructureCommon in marketing, finance, retail for insights and reporting

Business Intelligence Engineers focus on building data infrastructure, pipelines, and dashboards to enable data-driven decisions. Data Analysts interpret data, generate reports, and provide insights. Both roles require SQL and data visualization skills but differ in scope and responsibilities.

How much does a business intelligence engineer make?

The average salary for a business intelligence engineer in the United States ranges from $80,000 to $130,000 per year, depending on experience, location, and industry. Professionals with skills in data analysis, SQL, and tools like Tableau or Power BI tend to earn higher salaries, especially with advanced certifications or experience in large organizations.

What do business intelligence engineers do?

Business intelligence engineers analyze data to help organizations make informed decisions by designing and maintaining data pipelines, dashboards, and reports. They often use tools like SQL, data visualization software, and programming languages such as Python or R to extract, process, and interpret large datasets.
More about Business Intelligence Engineer jobs
Business Intelligence Engineer jobs near you
Infographic showing various Business Intelligence Engineer job openings in Bloomfield, CT as of August 2026, with employment types broken down into 81% Full Time, 15% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $118,579 per year, or $57 per hour.

Business Intelligence Developer

Motion Recruitment Partners, LLC

Farmington, CT • On-site

Other

Posted 26 days ago

Job description

Located in Farmington, Connecticut, this premier American multinational powerhouse stands as one of the worlds largest aerospace and defense manufactures by revenue and market capitalization. While operating on a global scale, this company delivers cutting edge technology and mission-critical solutions to military, government, and commercial sectors. In a world of digital warfare, this organization doesn't just build the future of defense, it secures it.
What we are looking for is a Business Intelligence Developer who specializes in Power BI and SharePoint, this isn't just building basic dashboards, but constructing the data nervous system that leadership will rely on to make decisions. The company handles sensitive government and military data, meaning your work will sit right at the intersection of data visualization, team collaboration, and security compliance.
36 Month Contract - Hybrid
Required Skills & Experience
  • Vast knowledge of Power BI Ecosystem and Architecture
  • Past experience with SharePoint integration and collaborative hubs
  • Ability to write complex and high-performance measures that handle heavy data transformation
  • Mastery of SQL
  • Experience of implementation of static and dynamic RSL to guarantee users to only see data aligned with their specific access rights.

Desired Skills & Experience
  • Familiarity working with Microsoft's secure government cloud environments
  • Experience pulling and blending data from enterprise systems such as SAP or Oralce EBS

What You Will Be Doing
Tech Breakdown
  • 40% Power BI Development
  • 25% Data Engineering & SQL
  • 20% SharePoint & Power Automate Integration
  • 15% Security, Governance, & Compliance

Daily Responsibilities
  • 70% Hands On
  • 30% Team Collaboration

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