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Data Engineer Data Analyst Jobs in Hartford, CT (NOW HIRING)

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Data Governance- Manager

Hartford, CT · On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Data Analyst

Hartford, CT · On-site

$70 - $80/hr

Title: IT - Data Analyst Location: One Hartford Plaza, Hartford, CT 06155 Duration: 6+ Months The Enterprise Data Services department's Commercial Lines team is looking for a skilled Sr. Business ...

DATA Engineer

East Hartford, CT · On-site

$113K - $136K/yr

You will work closely with data architects, analysts, and business stakeholders to deliver robust ... Mentor junior engineers and conduct code reviews to uphold engineering best practices * Partner ...

GenAI Data Engineer

Hartford, CT · Remote

$117K - $140K/yr

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ...

Data Engineer

Newington, CT · On-site

$114K - $137K/yr

The Data Engineer is a strategic technical role responsible for architecting, building, and ... Design and optimize scalable SQL and Python-based data transformations, algorithms, and analytics ...

GenAI Data Engineer

Hartford, CT · On-site +1

$115K - $138K/yr

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ...

Data Engineer

Newington, CT · On-site

$114K - $136K/yr

The Data Engineer is a strategic technical role responsible for architecting, building, and ... Design and optimize scalable SQL and Python-based data transformations, algorithms, and analytics ...

Data Engineer

Newington, CT · On-site

$114K - $136K/yr

The Data Engineer is a strategic technical role responsible for architecting, building, and sustaining the organizations modern data ecosystem, including cloud-based data platforms, analytics ...

GenAI Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ...

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Performs data and process analysis. Ability to write SQL code in multiple OS platforms & software. Qualifications Qualifications: Competent in use & writing SQL / SAS for data analysis and data ...

GCP Data Engineer

Hartford, CT · Hybrid

$115K - $138K/yr

Bachelor's degree in Computer Science, Engineering, Information Technology, Data Analytics, or a related field, or equivalent professional experience. * Experience with AI, agentic solutions ...

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Data Engineer Data Analyst information

See Hartford, CT salary details

$34.3K

$83.4K

$137.2K

How much do data engineer data analyst jobs pay per year?

As of Aug 27, 2026, the average yearly pay for data engineer data analyst in Hartford, CT is $83,360.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $97,800.00 per year, depending on experience, location, and employer.

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

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

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.

What are popular job titles related to Data Engineer Data Analyst jobs in Hartford, CT?

For Data Engineer Data Analyst jobs in Hartford, CT, the most frequently searched job titles are:

What job categories do people searching Data Engineer Data Analyst jobs in Hartford, CT look for?

The top searched job categories for Data Engineer Data Analyst jobs in Hartford, CT are:

What cities near Hartford, CT are hiring for Data Engineer Data Analyst jobs?

Cities near Hartford, CT with the most Data Engineer Data Analyst job openings:

Infographic showing various Data Engineer Data Analyst job openings in Hartford, CT as of August 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 75% In-person, 10% Hybrid, and 15% Remote job distribution, with an average salary of $83,360 per year, or $40.1 per hour.

Healthcare Data Engineer - HEDIS & Quality (US)

Hartford, CT • On-site


ExlService Holdings, Inc.
IT Services • 10K+ employees

7.8

Company rating: 7.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

136th of 496 rated business services

People enjoy working here

Good employer

Paid breaks


Full-time

Posted 5 days ago


Job description

Healthcare Data Engineer/Data Analyst - HEDIS & Quality

Hybrid; Hartford, CT

$85-90k plus bonus & benefits 

For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits

The posted range is the hiring range for this role - a subset of the broader range available to employees over time - and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

Required Skills

  • Minimum 3+ years of Healthcare Data Engineering, Healthcare Analytics, Quality Measurement, or Healthcare Reporting experience
  • Strong SQL development and data analysis skills
  • Python development experience
  • Experience with GCP, Big Query, or other cloud platforms
  • Understanding of healthcare data including claims, membership, provider, and clinical data
  • Experience with data validation, reconciliation, testing, and troubleshooting
  • Strong analytical, problem-solving, and communication skills

Preferred Skills

  • HEDIS or healthcare quality measures experience
  • Exposure to HL7 FHIR concepts and healthcare interoperability
  • Exposure to Clinical Quality Language (CQL)
  • Experience supporting data quality and testing initiatives
  • Experience working in Agile delivery environments

Nice-to-Have Certifications

  • Google Cloud Associate Cloud Engineer
  • Healthcare Informatics Certification
  • HL7 FHIR Fundamentals Training

Ideal Candidate

A motivated healthcare data professional with strong SQL and Python skills who can quickly learn HEDIS, CQL, FHIR, and DQME concepts while supporting measure development, testing, and modernization initiatives.

Responsibilities

  • Support HEDIS, Supplemental CQL, and quality measure analysis activities.
  • Perform data validation, reconciliation, testing, and root cause analysis
  • Analyze measure outputs and supporting evidence
  • Develop SQL and Python solutions to automate data processing, validation, and reporting activities
  • Support FHIR mapping and healthcare data transformation initiatives
  • Document findings, issues, data flows, and business requirements
  • Support modernization efforts related to quality measurement and healthcare reporting


What ExlService Holdings employees say

Pay

Hours and flexibility

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