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Remote Data Engineer Jobs in Connecticut (NOW HIRING)

Data Engineer

Hartford, CT · On-site +1

$142K - $158K/yr

Data Engineer to develop, build, and manage large-scale data structures, pipelines, and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications.

Data Engineer

Hartford, CT · On-site +1

$142K - $158K/yr

Data Engineer to develop, build, and manage large-scale data structures, pipelines, and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications.

GenAI Data Engineer

Hartford, CT · On-site +1

$115K - $138K/yr

As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure. You will collaborate closely with data ...

Principal Data Engineer

Hartford, CT · On-site +1

$147K - $288K/yr

Principal Data Engineer to build, develop, and maintain cloud-native software web applications and systems in support of CVS business needs and end customers. Duties include: assist with cloud-native ...

New

Principal Data Engineer

Hartford, CT · On-site +1

$147K - $288K/yr

Principal Data Engineer to build, develop, and maintain cloud-native software web applications and systems in support of CVS business needs and end customers. Duties include: assist with cloud-native ...

Principal Data Engineer

Hartford, CT · On-site +1

$144K - $288K/yr

Principal Data Engineer to develop large scale data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs. Collaborate with ...

New

Principal Data Engineer

Hartford, CT · On-site +1

$144K - $288K/yr

Principal Data Engineer to develop large scale data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs. Collaborate with ...

Snowflake Developer

New Haven, CT · On-site +1

$115K - $138K/yr

New Haven, CT (Preferred) or Remote/Hybrid (Occasional travel, once a month) Job Title : Snowflake Engineer Duration: 6-12 months (Contract to Hire) The client is looking for a Data Engineer who can ...

AI and Data Science Engineer III

Stamford, CT · On-site +1

$122K - $146K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We ...

AI and Data Science Engineer III

Hartford, CT · On-site +1

$115K - $138K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We ...

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Showing results 1-20

Remote Data Engineer information

See Connecticut salary details

$42.3K

$123.4K

$168.9K

How much do remote data engineer jobs pay per year?

As of Jun 23, 2026, the average yearly pay for remote data engineer in Connecticut is $123,397.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $130,800.00 per year, depending on experience, location, and employer.

What Does a Remote Data Engineer Do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

Can a data engineer work remotely?

Yes, data engineers can work remotely, especially as many companies adopt flexible work arrangements. Remote data engineering roles often require strong skills in cloud platforms, data pipelines, and collaboration tools, and may involve regular virtual communication with teams. The feasibility depends on the company's policies and the specific job requirements.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human oversight and expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on complex problem-solving and system architecture. Skills in programming, cloud platforms, and data management remain essential for the role.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

How do remote Data Engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a Remote Data Engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data infrastructure.

How to make $1000 a week remote?

A remote data engineer can earn $1000 or more per week by working full-time for a company, freelancing on project-based platforms, or offering specialized skills such as data pipeline development, cloud computing, or machine learning. Building a strong portfolio, gaining relevant certifications, and mastering tools like SQL, Python, and cloud services can increase earning potential.
What are the most commonly searched types of Data Engineer jobs in Connecticut? The most popular types of Data Engineer jobs in Connecticut are:
What are popular job titles related to Remote Data Engineer jobs in Connecticut? For Remote Data Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Connecticut look for? The top searched job categories for Remote Data Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Remote Data Engineer jobs? Cities in Connecticut with the most Remote Data Engineer job openings:
Infographic showing various Remote Data Engineer job openings in Connecticut as of June 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 100% Remote job distribution, with an average salary of $123,397 per year, or $59.3 per hour.
Data Engineer

Data Engineer

CVS Health

Hartford, CT • On-site, Remote

$142K - $158K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,250 frontline employees who took The Breakroom Quiz

77th of 99 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: Aetna Resources, LLC, a CVS Health company, is hiring for the following role in Hartford, CT: Data Engineer to develop, build, and manage large-scale data structures, pipelines, and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications. Duties include: develop large scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs; write ETL (Extract/Transform/Load) processes, design database systems, and develop tools for real-time and offline analytic processing that improve existing systems and expand capabilities; collaborate with Data Science team to transform data and integrate algorithms and models into automated processes; test and maintain systems and troubleshoot malfunctions; leverage knowledge of Hadoop architecture, HDFS commands, and designing and optimizing queries to build data pipelines; utilize programming skills in Python, Java, or similar languages to build robust data pipelines and dynamic systems; build data marts and data models to support Data Science and other internal customers; integrate data from a variety of sources and ensure adherence to data quality and accessibility standards; analyze current information technology environments to identify and assess critical capabilities and recommend solutions to complex business problems; and experiment with available tools and advise on new tools to provide optimal solutions that meet the requirements dictated by the model/use case. Telecommuting available. Multiple positions. Requirements: Master's degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field. Requires completion of a university-level course, research project, internship, or thesis in each of the following:CI/CD, Jenkins, GIT, or DevOps;Programming in Java, Python, and R;SAS or SQL programming languages;Agile methodologies or SAFe Software Development Principles;Spark, PySpark, and Scala;Hadoop architecture or HDFS commands;MySQL and NoSQL;Visualization tools: PowerBI and Tableau;Designing and optimizing queries to build data pipelines;Machine, learning, statistical analysis, and predictive modeling;NLP (Scikit, SpaCity, Pytorch, or Spark NLP);Vertex-AI;PyData ecosystem;Writing Extract/Transform/Load (ETL) processes;Designing data architectures, including data pipelines, distributed computing engines, and machine learning infrastructure design; andDeveloping and deploying predictive models or ML systems in a cloud environment (GCP, AWS, or Azure). Pay Range: $142418.00/year to $158620.00/year.

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. This position also includes an award target in the company's equity award program.
In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company's 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off ("PTO") or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.
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.

This job does not have an application deadline, as CVS Health accepts applications on an ongoing basis.

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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