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Remote Data Engineer Jobs in Connecticut (NOW HIRING)

Georgia IT Inc

Data Engineer - Remote

Hartford, CT · Remote

$115.50K - $138.70K/yr

Data Engineer Hartford, CT or Remote Contract No third-party C2C Job Responsibilities: As a Data engineer, you will have the opportunity to expand your skills in a variety of areas while working on a ...

Fast Switch

Data Engineer

Windsor, CT · Remote

$60/hr

Remote: Remote * Type: Contract * Job #61677 * Salary: $50.00 - $63.00 Per Hour Data Engineer Target rate: $60 hr w2 Contract Length: 6 months Location: Remote EST coast hours however local ...

ChatGPT Jobs

GenAI Data Engineer

Hartford, CT · Remote

$117.20K - $140.70K/yr

Remote Salary: $117.20K - $140.70K/yr (Estimated pay) Type: Full-time Posted: 8 hours ago Tiger Analytics is seeking an experienced Data Engineer with expertise in Dataiku to join our data team. As a ...

Fast Switch

Sr Data Engineer

Windsor, CT · Remote

$65/hr

Remote: Remote * Type: Contract * Job #61678 * Salary: $60.00 - $65.00 Per Hour Senior Data Engineer Target rate: $65 hr w2 Contract Length: 6 months Location: Remote EST coast hours however local ...

Diverse Lynx

Snowflake Data Engineer

Stamford, CT · Remote

$50 - $70/hr

Stamford, CT ( Remote ) Position : ( C2C Role ) Duration : ( 6+ Months) Pay Range : $50 - 70/Hr Skills: Python, Snowflake, ETL/ELT. Design, develop, and maintain ETL/ELT pipelines using Snowflake ...

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT · On-site +1

$115.50K - $138.70K/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 ...

CenterWell

Data Engineer - Healthcare

Hartford, CT · Remote

$115.50K - $138.70K/yr

Become a part of our caring community The Data Engineer 2 will develop scalable data processing ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

DataAnnotation

Data Engineer - AI Trainer

Hartford, CT · On-site +1

$60/hr

We are looking for proficient programmers to help advance AI development. As a member of ... Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ...

Carrington

Senior, Data Engineer

Old Greenwich, CT · Remote

$140K - $160K/yr

Come join our amazing team and work remote from home! What you'll do: Under direct supervision ... Proficiency in programming languages is commonly used in data engineering, such as Python or Java ...

UMB Bank

AI Data Architect

Hartford, CT · On-site +1

$83.20K - $178.80K/yr

You will bridge advanced data engineering, governance, and AI/ML model lifecycle requirements to ... However, the remote location must within the US. How you'll spend your time: * Define and implement ...

Cooper Cos.

Data Engineer Lead- PMS & QA

Monroe, CT · On-site +1

$128.20K/yr

Trumbull, CT (on-site), Livingston, NJ (on-site) or Remote in US (if not residing in NY-metro area) The Data Engineer Lead - PMS & QA leads data analysis, visualization, and reporting of Medical ...

Archgroup

Director, Data Architect (Remote)

Hartford, CT · Remote

$153K - $193K/yr

Manage data engineering efforts across the full project lifecycle, balancing priorities and ... LI-Remote #LH1 For individuals assigned or hired to work in the location(s) indicated below, the ...

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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 May 28, 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.

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.

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 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.

More about Remote Data Engineer jobs
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:
Remote Data Engineer jobs near you
Data Engineer - Remote

Data Engineer - Remote

Georgia IT Inc

Hartford, CT • Remote

$115.50K - $138.70K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Data Engineer

Hartford, CT or Remote Contract No third-party C2C

Job Responsibilities:

As a Data engineer, you will have the opportunity to expand your skills in a variety of areas while working on a data-focused team. On this team, you will be help architect and deliver a wide variety of code artifacts. You will be working to build a scalable and secure ETL solutions for operational, reporting and analytical data needs. In addition, you'll gain experience in CI/CD by utilizing Jenkins, Terraform, and Ansible. Our group has a focus on full cycle engineering – requirements to production support – this means you will have an opportunity to work on a variety of problems to solve while gaining Big Data experience. Although this is a specialized role you will have the freedom to expand your responsibilities and try new things you may be interested in. You will be challenged to:

  • Design, develop and maintain ETL platforms for various business use cases which are fault tolerant, highly distributed and robust.
  • Analyze large sets of structured and semi structured data for business analytics and ETL design.
  • Translate business needs and vision into roadmap, project deliverables and organization strategies.
  • Design and implement ETL solutions using leveraging cloud native platforms.
  • Collaborate with analytics and business teams to design data models that feed business intelligence tools, increasing data accessibility and encouraging data driven solutions.
Skills and Experience Required:
  • Good experience on designing and developing data pipelines for data ingestion and transformation using Spark.
  • Distributed computing experience using Pyspark.
  • Good understanding of spark framework and spark architecture.
  • Experience working in Cloud based big data infrastructure.
  • Excellent in trouble shooting the performance and data skew issues.
  • Must have good understanding of spark run time metrics and tune applications based on metrics.
  • Deep knowledge in partitioning, bucketing concepts of data ingestion.
  • Good understanding of AWS services like Glue, Athena, S3, Lambda, Cloud formation.
  • Preferred working knowledge on the implementation of datalake ETL using AWS glue, Databricks etc.
  • Experience with data modelling techniques for cloud data stores and on prem databases like Teradata, Teradata Vantage (TDV) etc.
  • Preferred working experience in ETL development in Teradata vantage and data migration from on prem to Teradata vantage.
  • Proficiency in SQL, relational and non-relational databases, query optimization and data modelling.
  • Experience with source code control systems like Gitlab.
  • Experience with large scale distributed relational and NoSQL database systems.
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About Georgia IT

Sourced by ZipRecruiter

A PROFESSIONAL SERVICES ORGANIZATION WITH A VISION OF DELIVERING SIMPLE AFFORDABLE, SUSTAINABLE SOLUTIONS FOR COMPLEX PROBLEMS WITH INTEGRITY. OUR GOAL IS TO ACHIEVE ALL THIS IN A COLLABRATIVE APPROACH WITH ALL PARTIES INVOLVED IN DELIVERING SOLUTIONS/PRODUCTS.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Alpharetta, GA, US

Year founded

2007

Social media

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