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Data Engineer Jobs in Springfield, MA (NOW HIRING)

ISO New England, Inc.

Lead Data Engineer

Holyoke, MA · On-site

$150K - $170K/yr

We have an important role to play in securing the region's clean and reliable energy future and are looking for a Data Engineer to join our team. In this role, you will design, develop, and maintain ...

Sarian, Inc.

Sr Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Role: Sr Data Engineer Location: Hartford, CT Onsite position Fulltime Position TCS/Hartford JD: * Strong expertise in Oracle SQL & PL/SQL (writing complex queries, stored procedures, triggers ...

Hispanic Health Council Inc

Data Engineer Fellow

Hartford, CT · On-site

$115K - $138K/yr

As a Data Engineer Fellow, you will support the development and maintenance of NHHRI's cloud-based population health data warehouse by designing scalable schemas, integrating public-sector datasets ...

Pwc

Data Engineer - Manager

Hartford, CT

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Engineer - Manager, you will play a pivotal role in transforming raw data ...

CVS Health

Senior Data Engineer

Hartford, CT · On-site

$106K - $145K/yr

As a Senior Data Engineer, you will be instrumental in designing, developing, and maintaining optimal data pipelines to assemble large and intricate datasets, catering to the business requirements of ...

Deloitte

Senior Data Engineer

Hartford, CT · Hybrid

$106K - $145K/yr

As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity ...

The Hartford

Sr Staff Data Engineer

Hartford, CT · Hybrid

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 ...

Consigli Construction

Senior Data Engineer

Hartford, CT · On-site

$100K - $120K/yr

The Senior Data Engineer supports the design, build, and optimization of our analytical data environment, including pipelines, semantic models, data quality controls, and governed access patterns.

Troutman Pepper

Senior Data Engineer

Hartford, CT · Remote

$106K - $145K/yr

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of enterprise data into the firm's finance applications, as well as creating validation reports ...

Consigli Construction

Senior Data Engineer

Hartford, CT · On-site

$100K - $120K/yr

The Senior Data Engineer supports the design, build, and optimization of our analytical data environment, including pipelines, semantic models, data quality controls, and governed access patterns.

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Springfield, MA

Data Engineer information

See Springfield, MA salary details

$44.3K

$129.3K

$176.9K

How much do data engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for 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.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
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What are popular job titles related to Data Engineer jobs in Springfield, MA? For Data Engineer jobs in Springfield, MA, the most frequently searched job titles are:
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What cities near Springfield, MA are hiring for Data Engineer jobs? Cities near Springfield, MA with the most Data Engineer job openings:
Data Engineer jobs near you
Lead Data Engineer

Lead Data Engineer

ISO New England, Inc.

Holyoke, MA • On-site

$150K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

Job description

ISO New England is the independent system operator responsible for ensuring the safe and reliable flow of electricity in our region and planning for the future of the electric grid. We are at the forefront of New England's ongoing transition to clean energy.
We have an important role to play in securing the region's clean and reliable energy future and are looking for a Data Engineer to join our team. In this role, you will design, develop, and maintain the enterprise data warehouse, data marts, and BI data systems that support business decision-making and strategic initiatives. You will build reliable, scalable data solutions, improve efficiency through automation and innovation, and help ensure the quality, integrity, and performance of our data platforms.
What we offer you:
  • A stable, mission-driven workplace where your impact truly matters
  • A highly engaged work environment that values inclusion, collaboration, and employee safety and wellbeing
  • Competitive compensation with a base salary + performance bonus
  • Robust benefits package, including:
    • Enhanced 401(k) and financial planning support
    • Tuition reimbursement and professional development
    • Wellness programs, including an onsite gym
    • Flexible work hours
    • Employee Business Networks
    • Free coffee at our onsite café
  • Hybrid work environment (3 days/week onsite)
  • Distance-based relocation assistance available
  • Paid on-call rotation

How you will make an Impact
  • Own Data Architecture & Solution Delivery
    Lead the design and implementation of scalable data platforms, including data warehouses, data marts, and ETL/ELT pipelines. Establish standards and best practices for data modeling, transformation, and system design.
  • Drive Platform Performance & Reliability
    Ensure high availability and performance of data systems through optimization, monitoring, and operational excellence. Oversee pipeline reliability, database performance, and production readiness for mission-critical workloads.
  • Lead Data Strategy & Integration
    Partner with business and IT stakeholders to align data architecture with organizational goals. Drive integration of data systems and ensure consistency, accessibility, and usability of enterprise data.
  • Advance Innovation & Technical Leadership
    Evaluate and adopt new tools, frameworks, and emerging technologies. Provide mentorship and technical leadership to the data engineering team, fostering continuous improvement and engineering excellence.
  • Participate in a 24/7 on-call rotation to support mission-critical analytics in production.

What we are looking for
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (Master's degree preferred)
  • 8+ years of experience in data engineering, business intelligence, or analytics roles
  • 5+ years of hands-on experience with SQL and Python, building and maintaining scalable data pipelines
  • 5+ years of experience with cloud-based data platforms (AWS preferred: S3, Lambda, Athena, Aurora, Glue, Redshift)
  • Strong expertise in relational data modeling, database design, and performance optimization (PostgreSQL preferred)
  • Experience mentoring and developing engineers, fostering best practices, code quality, and a culture of continuous improvement.
  • Strong communication skills with the ability to translate business requirements into scalable data solutions
  • Ability to influence architectural decisions and collaborate cross-functionally with engineering, analytics, and business teams

Preferred Qualifications
  • Experience with modern data stack tools such as dbt, Airflow or Dagster, and CI/CD pipelines
  • Proven experience designing and implementing enterprise-scale data architectures and data platforms
  • Familiarity with infrastructure-as-code (Terraform, CloudFormation) and DevOps best practices
  • Experience with data governance, data quality frameworks, and observability tools

This employer will not sponsor applicants for work visas for this position (ex: H-1B, F-1/CPT/OPT, O-1, E-3, TN, J, etc.).
The expected salary range for a Lead Data Engineer is $150,000 - $170,000 per year. We will also consider a Mid to Senior level Data Engineer. The pay range for the Mid to Senior level is $110,000 - $150,000 annually. This role is also eligible for an annual performance bonus, comprehensive health insurance (medical, dental and vision), flexible spending and health savings accounts, a 401(k) plan with generous employer contributions and a student debt benefit, life and AD&D insurance, disability insurance, critical illness and hospital indemnity benefits, paid time off, paid leave, a wellness program, an employee assistance program and other great company perks.
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This is a U.S. based role. If the successful candidate resides outside of the U.S., relocation will be required.
Equal Opportunity: We are proud to be an EEO employer. Applicants for employment are considered without regard to race, color, religion, creed, sex (including pregnancy, childbirth, and related medical conditions), gender identity or expression, sexual orientation, citizenship, national origin, age, ancestry, marital status, disability (including learning, mental, intellectual, and physical), service in the uniformed services, genetic information, or any other status protected by applicable law.
Drug Free Environment: We maintain a drug-free workplace and perform pre-employment substance abuse testing.

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