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Remote Data Engineer Jobs in Springfield, MA (NOW HIRING)

GenAI Data Engineer

Hartford, CT · Remote

$117.20K - $140.70K/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 ...

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 ...

AI Data Engineer Senior Consultant

Hartford, CT · On-site +1

$106.90K - $145.30K/yr

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

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 ...

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 ...

Data Scientist

Hartford, CT · On-site +1

$90.16K - $135.24K/yr

Our team is a cross-functional team of data scientists, data engineers, and actuaries working in a ... This role can have a Hybrid or Remote work arrangement depending on experience and skillset.

Director of Data Science

Hartford, CT · On-site +1

$153.20K - $229.80K/yr

Partner with Actuarial, Data Engineering, and other modeling organization teams to connect modeling ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

... and/or remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a GCP Engineer on the AI & Data team, you will be responsible for... * Build, configure, and ...

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Showing results 1-20

Remote Data Engineer information

See Springfield, MA salary details

$44.3K

$129.3K

$176.9K

How much do remote data engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for remote data engineer in Springfield, MA is $129,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,100.00 and $137,000.00 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.

What are the most commonly searched types of Data Engineer jobs in Springfield, MA? The most popular types of Data Engineer jobs in Springfield, MA are:
What are popular job titles related to Remote Data Engineer jobs in Springfield, MA? For Remote Data Engineer jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Springfield, MA look for? The top searched job categories for Remote Data Engineer jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Remote Data Engineer jobs? Cities near Springfield, MA with the most Remote Data Engineer job openings:
Data Engineer IV

Data Engineer IV

Farm Credit Financial Partners

Springfield, MA • On-site, Remote

$115K - $152K/yr

Full-time

Posted 2 days ago


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.