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Remote Data Engineering Jobs in Enfield, CT (NOW HIRING)

FAVARH

AI Principal Engineer

Windsor, CT · On-site +1

... engineering, data, and governance stakeholders to deliver scalable, reliable, and secure AI ... This role is fully remote, with no regular in-office requirement. The Contributions You'll Make:

KēSTA I.T.

AI Engineer 804812

Hartford, CT · On-site +1

$1/hr

... is Remote : We are seeking an AI Applications Developer to support the ongoing operation, modernization, and enhancement of AI-enabled applications that manage confidential and regulated data. This ...

Deloitte

Epic Denials Management Operator

Hartford, CT · Remote

$18.25 - $24.25/hr

This is a primarily remote role supporting enterprise Epic support, with minimal travel and ... engineering teams and modernizing technology & data platforms. Our delivery models are tailored to ...

nLeague

SQL server developer

Hartford, CT · Remote

CT CJIS Remote Job Project/System Overview Connecticut's Criminal Justice Information System (CJIS ... To support this effort, CJIS-CT seeks a SQL Db Developer/Administrator who can transform data and ...

NYGCI

Expert SalesForce Developer

Hartford, CT · On-site +1

$56.50 - $74.75/hr

Remote until COVID situation. Candidate must be willing to relocate or work on site in CT for 5 ... Develop Medium to Complex SF solutions to ensure that best practices are followed and the best data ...

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Showing results 41-60

All JobsData Engineering JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Enfield, CT

Remote Data Engineering information

See Enfield, CT salary details

$45.1K

$131.6K

$180.1K

How much do remote data engineering jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote data engineering in Enfield, CT is $131,597.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,200.00 and $139,500.00 per year, depending on experience, location, and employer.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

What are the key skills and qualifications needed to thrive as a remote data engineer?

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

Can you work remotely as a data engineer?

Yes, remote data engineering roles are common, allowing professionals to work from various locations. These jobs often require strong skills in SQL, cloud platforms, and data pipeline tools, and may involve collaboration through online communication tools.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What job categories do people searching Remote Data Engineering jobs in Enfield, CT look for? The top searched job categories for Remote Data Engineering jobs in Enfield, CT are:
What cities near Enfield, CT are hiring for Remote Data Engineering jobs? Cities near Enfield, CT with the most Remote Data Engineering job openings:
Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Enfield, CT as of August 2026, with employment types broken down into 61% Full Time, and 39% Part Time. Highlights an 100% Remote job distribution, with an average salary of $131,597 per year, or $63.3 per hour.

Quality Manager, Data & Insights Analytics

CVS Health

Farmington, CT • Remote

$60K - $159K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago

CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,331 frontline employees who took The Breakroom Quiz

89th of 112 rated pharmacies

Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselvesaccountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Position Summary

As a Quality Manager, Data & Insights Analytics for Aetna, you will be responsible for transforming raw data into actionable insights that support strategic decision-making across all Direct-to-Consumer (DTC) channels, including Telesales, field service representatives and member experience. You'll lead the development and delivery of reporting solutions, quality performance dashboards, and analytics tied to agent behavior, quality trends and process opportunities.

You will collaborate cross-functionally with Quality Assurance, Compliance, Operations and Vendor Management teams to ensure the integrity of quality data and the effective use of metrics to drive performance improvement. You'll plan a key role in supporting vendor oversight, internal reporting and the evolution of quality monitoring by integrating data tools and innovation into quality operations. For this role you'll need strong analytical expertise, system fluency and a deep understanding of Medicare sales processes.


Required Qualifications

  • Experience/proficiency with CRM systems, including SPICE and ThinkAgent, with experience training on these platforms.

  • Strong data and technical skills, including proficiency in Microsoft Excel (advanced functions such as Power Query, with working knowledge of SQL.

  • Experience with NICE CXone platform including reporting, interaction analytics, and quality management modules.


Preferred Qualifications

  • 5 years of experience, Medicare sales, including Medicare Advantage, Medicare Supplement and Part D plans.

  • Active and current health insurance license.

  • 5 years of Telesales and call center experience.

  • Experience designing and launching applications or tools using platforms like QuickBase.

  • Strong understanding of Medicare compliance requirements and quality assurance processes.

  • Proven ability to work independently in a remote environment while collaborating across multiple teams.


Education

Bachelor's degree in Communications, Business, Data Analytics or equivalent experience.

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$60,300.00 - $159,120.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This fulltime position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial wellbeing of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.


Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 08/15/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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