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

Role Overview As an AI Software Engineer, you will be responsible for designing, developing, and deploying Decision Intelligence and AI-enabled products. These solutions impact patient care, team

Together we fight for everyone's opportunity for a better financial future. We will do this together - with customers, partners and colleagues. We will fight for others, not against: We will stand up

It's exciting to work for a company that makes the world measurably better. We're committed to bringing safety, quality, and customer focus to the business of advanced ceramics manufacturing. Job

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 anywhere in the US, preferably in the Eastern Time Zone, as you will be working with a major Defense

Our client is a fast-growing data analytics and AI startup. This is a remote position based anywhere in the US, preferably in the Eastern Time Zone, as you will be working with a major Defense

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 anywhere in the US, preferably in the Eastern Time Zone, as you will be working with a major Defense

Showing results 21-40

Remote Data Engineer information

See Springfield, MA salary details

$43.3K

$126.3K

$172.8K

How much do remote data engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for remote data engineer in Springfield, MA is $126,250.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,400.00 and $133,800.00 per year, depending on experience, location, and employer.

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 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 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.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.

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 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:

Infographic showing various Remote Data Engineer job openings in Springfield, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $129,263 per year, or $62.1 per hour.

AI Engineer - Hartford, CT Remote

Hartford, CT • Remote

TiltEdge Solutions LLC
Recruiting and Staffing Services • 1 - 10 employees

Contractor

Posted 9 days ago


Job description

Role: CT - DOB - AI Engineer (804812)
Location: Hartford, CT Remote
Duration: 6+ Months
Client: State of Connecticut
 
Short Description:
Support the ongoing operation, modernization, and extension of AI-enabled applications for the Department of Banking and other state agencies which involves working with confidential and regulated financial and examination data. 
 
Complete Description:
This is a hands-on, applied technical role. The successful candidate will work primarily in Python within modern web frameworks (such as FastAPI), deploy and maintain services on Microsoft Azure (App Service, Storage, Key Vault, and related services), and use Git-based source control and pull-request workflows.
 
The role operates within an AI-assisted software development environment, in which modern coding assistants are used as a primary day-to-day tool for writing, reviewing, and debugging code. The analyst is expected to be effective in this style of AI-assisted software development — directing the tools, validating their output, and shipping reliable production code.
 
In addition to working on developing AI solutions for the Department of Banking, the candidate will work in close collaboration with the Connecticut AI Lab, a centralized team within DAS that supports the design, development, and deployment of AI-enabled tools across state agencies. The AI Lab provides architectural guidance, shared infrastructure, and engineering support for the applications this role helps maintain and extend.
 
EXAMPLES OF DUTIES
Maintains, enhances, and extends existing applications and supporting services.
Analyzes requirements and participates in project planning sessions with customers, analysts, and team members to provide design recommendations for routine to moderately complex systems.
Prepares source code; debugs and corrects errors; maintains the integrity of software.
Configures, deploys, and monitors applications and supporting services in cloud environments.
Designs and develops routine to moderately complex applications, including data flows, screens, forms, and reports.
Provides technical consultation on routine to moderately complex issues regarding the usage of the infrastructure and integration of applications systems into the infrastructure.
Documents system processes, workflows, and technical procedures.
Participates in the evaluation of new and related technologies.
Performs related duties as required.
 
KNOWLEDGE, SKILL AND ABILITY
Knowledge of principles and techniques of systems analysis, design, development, and programming.
Knowledge of modern programming languages, with emphasis on Python and related web application frameworks.
Knowledge of cloud computing principles and services, with emphasis on Microsoft Azure.
Knowledge of source control practices, including Git and pull-request-based collaboration.
Knowledge of modern AI-assisted software development workflows and tools.
Ability to compare and select AI models (for example, A/B testing two models on a task)
Interpersonal, oral, and written communication skills.
Knowledge of secure development practices and appropriate handling of confidential or regulated data, including security considerations specific to AI applications.
Ability to take a user request from intake through deployment to production with appropriate guidance
 
Skill
Required / Desired
Amount
of Experience
Python development in a Web environment that handles application logic and web APIs
Required
3
Years
Experience building applications powered by large language models (LLMs) such as Google Gemini, Anthropic Claud, or OpenAI GPT
Required
2
Years
Professional experience related to comparing & selecting AI models (for example, A/B testing two models on a task)
Required
2
Years
Experience deploying applications and supporting services in cloud environments
Highly desired
2
Years
Deployed and maintained services on Microsoft Azure (App Service, Storage, Key Vault and related services)
Desired
2
Years
Experience using Git-based source control and pull-request workflows
Desired
2
Years
Previous experience working directly with a state government agency in AI development
Desired
1
Years
EXCEPTIONAL COMMUNICATION skills - both oral and written are REQUIRED
Required