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

GenAI Data Engineer

Hartford, CT · On-site +1

$115K - $138K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... engineering flow to transform unstructured blobs into structured insights. * Tune complex SQL ...

GenAI Data Engineer

Hartford, CT · Remote

$117K - $140K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... engineering flow to transform unstructured blobs into structured insights. * Tune complex SQL ...

Our client is a fast-growing data analytics and AI startup. This is a remote position based ... Collaborate with Product and Engineering to influence the future direction of the Kobai platform.

New

Solutions Architect- Databricks

Hartford, CT · On-site +1

$170K - $200K/yr

Our client is a fast-growing data analytics and AI startup. This is a remote position based ... Collaborate with Product and Engineering to influence the future direction of the Kobai platform.

New

Solutions Architect- Databricks

Hartford, CT · Remote

$63.50 - $83.75/hr

Our client is a fast-growing data analytics and AI startup. This is a remote position based ... Collaborate with Product and Engineering to influence the future direction of the Kobai platform.

New

This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ... Experience with data engineering, ETL technology, and conversation UX is a plus. * Experience with ...

Principal AI Engineer

Hartford, CT · On-site +1

$168K - $252K/yr

This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ... Experience with data engineering, ETL technology, and conversation UX is a plus. * Experience with ...

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Remote Data Engineering information

See Hartford, CT salary details

$44.9K

$130.8K

$179K

How much do remote data engineering jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote data engineering in Hartford, CT is $130,847.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $138,700.00 per year, depending on experience, location, and employer.

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.

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 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 are the most commonly searched types of Data Engineering jobs in Hartford, CT?

The most popular types of Data Engineering jobs in Hartford, CT are:

What are popular job titles related to Remote Data Engineering jobs in Hartford, CT?

For Remote Data Engineering jobs in Hartford, CT, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineering jobs in Hartford, CT look for?

The top searched job categories for Remote Data Engineering jobs in Hartford, CT are:

What cities near Hartford, CT are hiring for Remote Data Engineering jobs?

Cities near Hartford, CT with the most Remote Data Engineering job openings:

Infographic showing various Remote Data Engineering job openings in Hartford, CT as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $130,847 per year, or $62.9 per hour.

Data Engineer IV

Farm Credit Financial Partners

Springfield, MA • On-site, Remote

$115K - $152K/yr

Full-time

Posted 4 days ago


Key responsibilities

  • Lead and architect an enterprise-scale data engineering project team in a matrix organization

  • Build and optimize the infrastructure required for extraction, transformation, and loading of data from various sources

  • Shape enterprise-wide data governance policies and oversee engineering standards through code reviews


Job description

Description
POSITION SUMMARY: The Data Engineer IV is responsible for transforming data that can be easily analyzed. The position will be responsible for expanding and optimizing our data and data pipeline for our Association partners. The Data Engineer IV primarily works with project teams on developing new data platforms to support strategic initiatives in alignment with business and/or enterprise strategies.
DUTIES AND RESPONSIBILITIES:
• Lead and architect an enterprise-scale data engineering project team in a matrix organization
• Provide strategic direction for the design, enhancement, and long-term support of data platforms.
• Drive organizational data engineering strategy by influencing process including, : automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build and optimize the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
• Oversee engineering standards through code reviews to ensure quality and best practices are maintained.
• Shape enterprise-wide data governance policies, partnering with senior leadership and stakeholders. This includes data quality, data management, data policies, business process management, and risk management surrounding the handling of organizational data.
• Other related duties as assigned.
SKILLS AND COMPETENCIES:
• Coach and mentor junior engineers
• Effectively Communicate technical direction to senior leadership and cross-functional stakeholders. Foster innovative team culture and process improvement during development phase
• Demonstrate thought leadership in data engineering practices and enterprise data strategy.
Requirements
MINIMUM KNOWLEDGE AND EDUCATION REQUIREMENTS:
• Bachelor's degree in computer science or MIS, and 10+ years' experience in data modeling and cloud technologies. Expert with the Azure technology stack including:
o Databricks
o Data Factory
o SQL
o Python
o Power BI (Business Intelligence)
• 2+ years of leading large, distributed technical teams as well as actively interfacing with senior leadership teams.
• Ability work comfortably in both Agile and Waterfall methodologies
• Strong organization, analytical, and communication skills
• Proficiency in the following technologies: Microsoft Office Suite
• Strong customer service focus (data consumers as customers)
• Familiar with software development best practices
• Knowledge and proficiency in Artificial Intelligence concepts and technologies, including or similar to ChatGPT, Claude, Windsurf, Perplexity AI, Grok, Gemini
ESSENTIAL FUNCTIONS
• Ability to report to work in person and to attend work-related functions/activities.
• Ability to work at a desk and use a computer for extended periods.
• Ability to lift, carry, and move objects up to 10 pounds occasionally.
• Ability to occasionally travel as required.
• Ability to type and utilize various software programs efficiently and operate general office equipment.
• Ability to work in an office setting with moderate noise levels.
• Additional physical demands include, but may not be limited to, frequent talking or hearing, occasional push/pull, stoop/kneel, bend/twist, and reach to retrieve or move items in a typical office environment.
• Must be able to work scheduled hours and overtime as needed.
• This role has been designated as either a hybrid role, which gives employees the opportunity to work from home on Mondays and Fridays and working in the office on Tuesday, Wednesday, and Thursday, or a remote role, which means the employee will work entirely offsite.
o Exceptions to the designated work arrangement may be made based on business needs.
o Please note that the Company retains the right to change a position's designation at any time.
• Ability to concentrate and focus on details when reviewing documents, analyzing data, and performing computer-based tasks.
• Ability to manage multiple tasks and deadlines while maintaining accuracy and efficiency.
• Ability to problem-solve efficiently and make sound decisions.
• Ability to manage job-related stress and interactions with clients, colleagues, or external parties.
• Ability to communicate ideas clearly in both verbal and written form.
• Ability to work with others in a collegial and collaborative manner
This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
REASONABLE ACCOMMODATION: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of their position.