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Bi Engineer Jobs in Connecticut (NOW HIRING)

Spire Orthopedic Partners

BI Engineer

Stamford, CT · On-site

The Data Engineer will help build and support the data foundation that powers enterprise reporting ... Develop and optimize SQL-based data models in Snowflake to support Power BI reporting, executive ...

Centstone

Power BI Developer

Hartford, CT · On-site

Tableau Developer Location: Hartford, Connecticut Work Mode: Hybrid - 80% Remote / 20% Onsite ... BI / Tableau Administrator to support enterprise reporting and analytics platforms. This role ...

Yale New Haven Health

BI Developer III

New Haven, CT · On-site

The Business Intelligence Developer III role works under the minimal direction, coordinates the compilation of technical components of a project or program. The Business Intelligence Developer III ...

Yale New Haven Health

BI Developer III

New Haven, CT · Hybrid

The Business Intelligence Developer III role works under the minimal direction, coordinates the compilation of technical components of a project or program. The Business Intelligence Developer III ...

Yale New Haven Health

BI Developer III

New Haven, CT · Hybrid

The Business Intelligence Developer III role works under the minimal direction, coordinates the compilation of technical components of a project or program. The Business Intelligence Developer III ...

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All JobsBi Engineer JobsBi Engineer Jobs in Connecticut

Bi Engineer information

See Connecticut salary details

$37.1K

$96.8K

$130.8K

How much do bi engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for bi engineer in Connecticut is $96,796.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,900.00 and $110,800.00 per year, depending on experience, location, and employer.

How much does a BI engineer make at Costco?

A Business Intelligence (BI) Engineer at Costco typically earns an average salary ranging from $80,000 to $120,000 annually, depending on experience, location, and specific responsibilities. They often work with data analysis tools and require strong SQL and data visualization skills.

What are BI Engineers?

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 does a BI engineer do?

A BI (Business Intelligence) engineer designs, develops, and maintains data systems and dashboards to help organizations analyze and visualize data for decision-making. They work with tools like SQL, data warehouses, and visualization platforms, often requiring strong analytical skills and knowledge of data modeling. BI engineers ensure data accuracy and accessibility for business insights.

What are the key skills and qualifications needed to thrive as a BI Engineer, and why are they important?

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.

What engineer makes $500,000 a year?

Highly experienced engineers in specialized fields such as petroleum engineering, aerospace engineering, or certain senior software engineering roles can earn $500,000 or more annually, often including bonuses and stock options. These positions typically require advanced skills, extensive experience, and often work in high-stakes or high-demand industries.

What engineers make $300,000 a year?

Senior engineers in fields such as software, petroleum, and aerospace engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High-paying engineering positions often require specialized expertise, advanced degrees, and sometimes work in high-demand industries or locations with premium compensation packages.

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 are popular job titles related to Bi Engineer jobs in Connecticut? For Bi Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Bi Engineer jobs in Connecticut look for? The top searched job categories for Bi Engineer jobs in Connecticut are:
Bi Engineer jobs near you
Infographic showing various Bi Engineer job openings in Connecticut as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $96,796 per year, or $46.5 per hour.

BI Engineer

ORTHOPAEDIC & NEUROSURGERY SPECIALISTS P.C.

Stamford, CT • On-site, Remote

$113K - $169K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

Job description

Who we are:
Spire Orthopedic Partners is a growing national partnership of orthopedic practices that provides the support, capital and operational resources physicians need to grow thriving practices for the future. As a Management Services Organization (MSO), Spire provides the infrastructure for administrative operations that allows practices to operate at their highest level, so doctors can focus their efforts on what matters most - patient care. Headquartered in Stamford, Connecticut, the Spire network spans the Northeast with more than 165 physicians, 1,800 employees, 285 other clinical providers and 40 locations in New York, Connecticut, Rhode Island and Massachusetts.
What you'll do:
The Data Engineer will help build and support the data foundation that powers enterprise reporting, analytics, and operational decision-making across Spire. This role is responsible for creating reliable data pipelines, well-structured data models, automated quality checks, and documented datasets that analytics, finance, operations, and revenue cycle teams can trust.
This is a technical role first. Healthcare or revenue cycle experience is helpful, but deep RCM expertise is not required. The successful candidate will be comfortable learning the business context while bringing strong engineering discipline to data ingestion, transformation, testing, performance, and production support.
Spire's leadership is actively investing in data and analytics capabilities. This role will help modernize the data environment, improve reporting reliability, and create scalable structures that reduce manual work and make data easier to use across the organization.
Responsibilities/Duties:
  • Design, build, and maintain scalable data pipelines that ingest, transform, and publish data from practice management, EHR, billing, finance, and operational source systems.
  • Develop and optimize SQL-based data models in Snowflake to support Power BI reporting, executive dashboards, recurring analytics, and ad hoc business analysis.
  • Use dbt or similar transformation frameworks to create tested, version-controlled, and documented data models.
  • Build data integration processes using APIs, SFTP files, flat files, database extracts, and third-party vendor feeds.
  • Create automated data quality checks, reconciliation processes, anomaly detection routines, and alerting to identify issues before they affect downstream reporting.
  • Partner with analytics, finance, RCM, and operations stakeholders to translate reporting needs into reliable data structures and reusable datasets.
  • Improve data reliability by standardizing definitions, mapping source system fields, documenting lineage, and resolving data inconsistencies across systems.
  • Tune query performance, manage large datasets efficiently, and troubleshoot pipeline failures or report performance issues.
  • Support secure data handling practices, access controls, and HIPAA-aligned data governance expectations for healthcare information.
  • Maintain clear technical documentation, including source-to-target mappings, transformation logic, data dictionaries, and operational runbooks.
  • Collaborate using Git-based workflows, code review, and deployment practices appropriate for production data environments.
  • Provide production support for scheduled data jobs, recurring reporting datasets, and critical analytics workflows

Who you are:
Qualifications:
  • 4+ years of experience in data engineering, analytics engineering, business intelligence engineering, or a closely related technical data role.
  • Strong SQL skills, including complex joins, window functions, CTEs, query optimization, data validation, and performance tuning.
  • Hands-on experience with Snowflake or another modern cloud data warehouse.
  • Experience building ELT/ETL pipelines and transforming raw source data into modeled, analysis-ready datasets.
  • Proficiency with Python for automation, data processing, validation, or pipeline support.
  • Experience with dbt, Airflow, Dagster, Fivetran, Matillion, Azure Data Factory, or comparable data transformation/orchestration tools.
  • Understanding of dimensional modeling, semantic layers, data marts, and structures that support reliable BI reporting.
  • Working knowledge of Power BI datasets, Power Query, DAX, or BI consumption patterns, even if dashboard development is not the primary focus.
  • Comfortable working with messy, high-volume, multi-source data and turning it into clean, trustworthy, documented outputs.
  • Strong problem-solving skills and the ability to troubleshoot data issues from source extraction through final report output.
  • Clear communication skills, including the ability to explain technical issues and tradeoffs to non-technical stakeholders.
  • High attention to detail, strong ownership, and a low tolerance for unexplained data discrepancies.

Preferred Qualifications
  • Experience in healthcare, physician practice, MSO, revenue cycle, payer, or healthcare operations data environments.
  • Familiarity with practice management or EHR platforms such as Athena, Modernizing Medicine (ModMed), SIS, or similar systems.
  • Exposure to healthcare data types such as charges, payments, adjustments, claims, denials, appointments, CPT codes, provider/location hierarchies, or payer data.
  • Experience working with 835/837 files, ERA data, HL7/FHIR, or other healthcare integration formats.
  • Experience with cloud platforms such as Azure, AWS, or GCP.
  • Advanced Excel skills helpful for validation, reconciliation, and stakeholder support.
  • Bachelor's degree in computer science, data engineering, information systems, analytics, mathematics, statistics, or a related field; equivalent professional experience may be considered.

What we offer:
  • Excellent growth and advancement opportunities
  • Dynamic environment
  • Access to a diverse network of practitioners
  • Broad infrastructure of tools and programs to enhance the employee experience
  • Competitive Compensation
  • Generous PTO
  • Benefits package: health, dental, vision, 401(k), etc.

We are an equal-opportunity employer. Qualified Applicants are considered for positions and are evaluated without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex, or gender (including pregnancy, childbirth, and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances (referred to as "protected characteristics").
The final pay offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and years of experience within the job, the type of years and experience within the industry, education, etc.

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