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Remote Senior Data Engineer Jobs in Springfield, MA

The Hartford

Senior Staff AI Data Engineer

Hartford, CT · On-site +1

$106K - $145K/yr

Sr Staff Data Engineer - GE07DE We're determined to make a difference and are proud to be an ... This role can have a Hybrid or Remote work schedule. Candidates who live near one of our locations ...

UnitedHealth Group

Senior Data Engineer (DBA)

Hartford, CT · Remote

$106K - $145K/yr

Ensure database availability, performance, backup, recovery, disaster recovery, and data protection ... Collaborate with engineering, application, and infrastructure teams to drive cloud modernization ...

The Hartford

Data & AI Delivery Lead

Hartford, CT · On-site +1

$156K - $234K/yr

Dir Data Engineering - GE06AE We're determined to make a difference and are proud to be an ... Hybrid / Or Remote This role can have a Hybrid or Remote work schedule. Candidates who live near ...

Crum & Forster

Senior Network Engineer

Glastonbury, CT · On-site +1

$104K - $142K/yr

The Senior Network Engineer will serve as a key technical resource in the planning and execution of ... This role could also be remote with travel to Glastonbury, CT. What you will do: Network ...

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

Remote Senior Data Engineer information

See Springfield, MA salary details

$80.7K

$125.9K

$174.4K

How much do remote senior data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote senior data engineer in Springfield, MA is $125,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,600.00 and $143,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Senior Data Engineer vs Data Scientist?

AspectRemote Senior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields, certifications
Work EnvironmentData pipelines, ETL processes, cloud platformsData analysis, modeling, visualization tools
Industry UsageTech, finance, healthcare, e-commerceTech, marketing, research, finance

Remote Senior Data Engineers focus on building and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles often collaborate but serve different functions within data teams. Understanding these differences helps in choosing the right career path or job search focus.

What is a remote senior data engineer?

Remote Senior Data Engineers are experienced professionals who design, build, and maintain complex data systems and pipelines, but work from a location outside of the company's main office. They are responsible for ensuring reliable data flow, optimizing data storage, and supporting analytics, often collaborating with teams across different time zones. Their role typically involves advanced programming, data architecture, and the implementation of best practices in data engineering, all while working remotely. This position demands strong technical skills, excellent communication, and the ability to work independently.

How does a remote senior data engineer typically collaborate with distributed teams to ensure data pipeline reliability?

As a Remote Senior Data Engineer, collaboration with cross-functional, distributed teams is usually facilitated through agile project management tools, regular video meetings, and shared documentation platforms. You’ll often work closely with data scientists, analysts, and DevOps engineers to design, build, and maintain scalable data pipelines. Clear communication and proactive status updates are essential to ensure everyone stays aligned and issues are addressed quickly. Leveraging version control systems and automated testing also helps maintain the reliability and quality of the data infrastructure across different time zones.

What are the key skills and qualifications needed to thrive as a remote senior data engineer?

To thrive as a Remote Senior Data Engineer, you need advanced expertise in data engineering concepts, SQL, and programming languages like Python or Scala, along with a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data frameworks (like Spark or Hadoop), and relevant certifications are typically required. Excellent problem-solving, communication, and self-management skills are crucial for collaborating remotely and driving projects independently. These competencies ensure robust data pipelines, effective teamwork, and successful delivery of scalable data solutions in distributed environments.
What job categories do people searching Remote Senior Data Engineer jobs in Springfield, MA look for? The top searched job categories for Remote Senior Data Engineer jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Remote Senior Data Engineer jobs? Cities near Springfield, MA with the most Remote Senior Data Engineer job openings:
Remote Senior Data Engineer jobs near you
Infographic showing various Remote Senior 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 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $125,886 per year, or $60.5 per hour.

Senior Staff AI Data Engineer

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site, Remote

$106K - $145K/yr

Full-time

Re-posted 26 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 121 frontline employees who took The Breakroom Quiz

57th of 303 rated insurance

Job description

Sr Staff Data Engineer - GE07DE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
Join our team as a Senior Staff AI Data Engineer and lead the charge in developing cutting-edge AI solutions and data engineering strategies. Embrace our core values of innovation, collaboration, and excellence as you unlock unparalleled growth opportunities in the dynamic field of AI and data engineering. Shape the future of technology with us! Apply now to be part of our innovative journey and make a significant impact!
This role can have a Hybrid or Remote work schedule. Candidates who live near one of our locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office should maintain their current work arrangement with the expectation of coming into the office as business needs arise.
Primary Job Responsibilities
  • Lead the implementation of AI data pipelines integrating structured, semi-structured, and unstructured data to support AI and agentic solutions, including preprocessing techniques such as extraction, chunking, embedding, and grounding (e.g., RAG, retrieval frameworks)
  • Develop AI-driven data systems that enhance data capabilities while ensuring adherence to industry best practices
  • Implement and optimize Retrieval-Augmented Generation (RAG) architectures and integrate them with enterprise data platforms
  • Design, build, and optimize scalable batch and streaming data pipelines with a focus on performance, resiliency, and operational efficiency
  • Develop and maintain real-time data streaming pipelines using technologies such as Snowpipe
  • Develop data domains and data products to support reporting, analytics, AI/ML, and data science use cases
  • Ensure the reliability, availability, and scalability of data pipelines through monitoring, alerting, and incident management
  • Implement reliability engineering best practices, including fault tolerance, redundancy, and disaster recovery
  • Drive engineering discipline across data platforms, including observability, data quality, lineage, and governance
  • Collaborate with DevOps and infrastructure teams to enable seamless deployment and operation of data systems
  • Partner with cross-functional teams to integrate data and AI solutions into business processes and enterprise systems
  • Provide architectural leadership in partnership with Data Architects, including defining technical standards and influencing enterprise-wide practices
  • Develop and integrate graph database solutions to support complex data relationships within AI systems
  • Apply GenAI approaches to insurance-specific data use cases and challenges
  • Lead the development of AI-ready data foundations that support scalable, production-grade solutions
  • Ensure data platforms remain resilient, governed, and cost-efficient, aligned with enterprise cloud and data strategies
  • Mentor junior engineers and contribute to communities of practice, promoting best practices, reusable patterns, and engineering standards
  • Stay current with advancements in GenAI and apply relevant technologies and methodologies to platform evolution

Skills
  • Strong technical expertise in AI-driven data solutions leveraging modern cloud platforms
  • Deep expertise in core data engineering, including advanced SQL, data modeling, and query performance tuning
  • Strong experience in ETL/ELT architecture, orchestration frameworks, and pipeline optimization
  • Experience working across teams with strong communication and stakeholder management skills
  • Proven ability to mentor and develop AI and data engineering talent
  • Knowledge of emerging AI and data engineering design patterns
  • Strong planning, organization, and execution capabilities
  • Ability to lead in a lean, agile, and fast-paced environment, leveraging Scaled Agile practices
  • Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions
  • Demonstrated leadership capability to own architecture decisions and drive cross-team alignment
  • Effective collaboration, decision-making, and relationship-building skills
  • Strong interpersonal skills with the ability to provide thought leadership in a dynamic environment

Qualifications
  • Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
  • Bachelor's degree in Computer Science, Artificial Intelligence, or a related field
  • 8+ years of data engineering experience with deep expertise in SQL, data modeling, and large-scale data processing systems
  • Proven experience designing and optimizing ETL/ELT pipelines and orchestration frameworks in enterprise environments
  • Experience supporting Generative AI data engineering use cases
  • Hands-on experience implementing production-ready, enterprise-grade GenAI data solutions
  • Experience implementing RAG pipelines, including retrieval, chunking, embedding, and grounding techniques
  • Experience operationalizing GenAI pipelines in production environments
  • Hands-on experience with cloud ecosystems (AWS, GCP, Azure, Snowflake) and Python-based data engineering stacks
  • Proven ability to deliver resilient, governed, and cost-efficient data platforms at scale
  • Experience with vector databases and graph databases, including design and optimization
  • Experience working with unstructured data for GenAI applications
  • Experience implementing data governance practices, including data quality, lineage, and data cataloging at scale
  • Proficiency in building AI data pipelines that integrate structured and unstructured data with preprocessing techniques
  • Strong programming skills in Python
  • Strong communication skills and ability to explain technical concepts to a broad set of stakeholders

Preferred Qualifications
  • Experience designing multi-cloud or hybrid AI data solutions
  • AI-related certifications
  • Experience in the P&C insurance industry
  • Contributions to open-source AI projects or research in Generative AI

Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$135,040 - $202,560
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

What The Hartford employees say

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About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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