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

Milliman

Strategic Data Partnership Manager

Windsor, CT · Remote

This position is fully remote, while occasional travel may be required. Primary Responsibilities ... You'll work closely with product, engineering, legal, sales and other market-facing teams. * Grow ...

Quora

AI Automation Engineer -Remote

Hartford, CT · On-site +1

$202K - $234K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

Springfield, MA · On-site +1

$202K - $234K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

FHR

MO416- Power Platform developer 64265

Hartford, CT · Remote

100% Remote. Our direct client has an opening for a Power Platform developer 64265 This position is ... Create data models, user interfaces, workflows, and reports • The candidate will collaborate with ...

Knak Digital

AI Engineer

Becket, MA · Remote

$130K - $150K/yr

AI Engineer Location: Remote (US only) Compensation: $130,000 to $150,000 Must be authorized to ... MCP servers and clients that securely connect models to client data, internal tools, and APIs * RAG ...

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All JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Springfield, MA

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 Jun 21, 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.

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.
More about Remote Data Engineer jobs
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:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Springfield, MA as of June 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% Remote job distribution, with an average salary of $129,263 per year, or $62.1 per hour.
Data Analyst Snowflake - Remote / Telecommute

Data Analyst Snowflake - Remote / Telecommute

CYNET SYSTEMS

South Windsor, CT • Remote

$45 - $50/hr

Contractor

Posted yesterday

Be an early applicant

Job description

Job Overview:
 
Pay Range: $45hr - $50hr
  • Responsible for supporting the Medicare STARS team in validating, certifying, and ensuring the quality of data migrated into Snowflake as part of a unified data fabric initiative. 
  • The role involves performing data validation, building quality monitoring processes, supporting migration testing activities, and ensuring accurate and reliable reporting for healthcare analytics and business users.

Requirement/Must Have:

  • Strong hands-on experience with Snowflake.
  • Strong SQL proficiency and experience working with ETL pipelines.
  • Experience with data validation and quality assurance frameworks.
  • Experience working with large datasets and complex data environments.
  • Strong attention to detail and analytical skills.
  • Ability to support migration testing and data certification processes.
  • Strong communication and collaboration skills.

Experience:

  • Experience with Snowflake queries, data modeling, and data sharing.
  • Experience validating and certifying enterprise data.
  • Experience supporting data migration and cutover activities.
  • Healthcare data experience preferred, including claims, member data, or Medicare STARS metrics.
  • Experience building dashboards and data quality monitoring processes preferred.

Responsibilities:

  • Validate and certify data migrated from the unified data fabric into Snowflake.
  • Ensure data accuracy, completeness, and consistency across Medicare STARS datasets.
  • Build and maintain data quality checks and monitoring dashboards.
  • Collaborate with data engineering teams on migration testing and cutover activities.
  • Support analytics and reporting needs for Medicare STARS business users.
  • Document data lineage, validation, and certification processes.
  • Monitor and resolve data quality issues to maintain reliable reporting and analytics.

Should Have:

  • Healthcare data experience including claims, member data, or STARS metrics.
  • Experience with enterprise data migration projects.
  • Experience with data lineage and governance processes.
  • Familiarity with reporting and analytics environments.

Skills:

  • Snowflake.
  • SQL and ETL processes.
  • Data validation and quality assurance.
  • Data modeling and data sharing.
  • Healthcare data analytics.
  • Dashboard and monitoring development.
  • Data migration support.
  • Data lineage documentation.
  • Analytical and problem-solving skills.

Qualification And Education:

  • Bachelor’s degree in Computer Science, Information Technology, Data Analytics, or related field preferred.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.
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About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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