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Data Engineer Jobs in Amherst, MA (NOW HIRING)

The Computer Merchant, Ltd

Data Engineer

Springfield, MA · On-site

$78 - $84/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Data Engineer JOB LOCATION: Springfield, MA/ NYC Hybrid WAGE RANGE*: $78 - 84/ hour JOB NUMBER: 37477090 REQUIRED EXPERIENCE: Bachelor's degree in a relevant field (e.g., Computer Science, Data ...

Bespoke Labs

Data Engineer

Springfield, MA · On-site

$114K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

ISO New England

Lead Data Engineer

Holyoke, MA · On-site

$150K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

ISO New England, Inc.

Lead Data Engineer

Holyoke, MA · On-site

$150K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

CYNET SYSTEMS

Cyber Data Engineering / Architect

Springfield, MA · On-site

$79 - $84/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Bachelor's degree in a relevant field (e.g., Computer Science, Data Engineering, Analytics, Information Security, or equivalent experience). * 8+ years of experience working in Cybersecurity, risk ...

Planet Fitness

Sr. Geospatial Data Scientist

Hampden, MA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Proposes, designs, and builds scalable, production-ready geospatial solutions in collaboration with Data Engineering and Technology that become embedded in enterprise real estate and market planning ...

New

AIToolboard

AI/Data Scientist

Springfield, MA · On-site

$140 - $190/hr

Work alongside architects, engineers, and data scientists in a team-focused environment that values knowledge sharing and excellence. • Values-Driven Leadership: Join a company that prioritizes ...

Stanley Black and Decker

Master Data Specialist

East Longmeadow, MA · On-site

$62K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Responsible for administrating plant-level engineering changes and updating the manufacturing ERP ... master data critical to day to day running of the business. * Be a hands-on expert in SAP and ...

New

Stanley Black & Decker

Master Data Specialist

East Longmeadow, MA · On-site

$62K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Responsible for administrating plant-level engineering changes and updating the manufacturing ERP ... master data critical to day to day running of the business. * Be a hands-on expert in SAP and ...

MANTECH

Senior GEOINT Data Scientist

Springfield, MA

Demonstrated experience of advanced programming techniques, using one or more of the following ... Data Visualization Experience which may include Matrix Analytics, Network Analytics, Graphing Data ...

MANTECH

Senior Data Scientist

Springfield, MA

Experience with programming languages such as Python, JavaScript, or Java * Experience developing and sustaining operational data pipelines supporting multiple data formats and interfaces. Preferred ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Amherst, MA

Data Engineer information

See Amherst, MA salary details

$43.8K

$127.8K

$174.8K

How much do data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data engineer in Amherst, MA is $127,753.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,800.00 and $135,400.00 per year, depending on experience, location, and employer.

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 is a data engineer?

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Amherst, MA?

The most popular types of Data Engineer jobs in Amherst, MA are:

What are popular job titles related to Data Engineer jobs in Amherst, MA?

For Data Engineer jobs in Amherst, MA, the most frequently searched job titles are:

What cities near Amherst, MA are hiring for Data Engineer jobs?

Cities near Amherst, MA with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Amherst, MA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $127,753 per year, or $61.4 per hour.

Data Engineer

The Computer Merchant, Ltd

Springfield, MA • On-site

$78 - $84/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 24 days ago

Job description

JOB TITLE: Data Engineer JOB LOCATION: Springfield, MA/ NYC Hybrid WAGE RANGE*: $78 - 84/ hour JOB NUMBER: 37477090 REQUIRED EXPERIENCE: Bachelor's degree in a relevant field (e.g., Computer Science, Data Engineering, Analytics, Information Security, or equivalent experience). 8+ years of experience working in Cybersecurity, risk, or technology domains, with deep hands‐on experience in data engineering, analytics, or data architecture. Demonstrated experience designing and building data pipelines, data models, and analytics architectures, including batch and/or streaming patterns. Practical experience partnering with or working on modern data platforms and tools such as Databricks, Redshift, Snowflake, Alteryx, or equivalent technologies. Working knowledge of Cybersecurity domains, including data privacy, data protection, and core security concepts (e.g., vulnerabilities, threats, controls, risk). Strong coding proficiency (e.g., Python, SQL) with the ability to assess multiple data sources and determine feasibility, data gaps, and engineering approaches to support Cyber use cases. Experience collaborating closely with data engineering, platform, and architecture teams to ensure long‐term operability and support. CISM CISSP Preferred Qualifications Cybersecurity certifications (e.g., CISSP, CISM) and/or data and analytics certifications (or equivalent advanced experience). Demonstrated experience applying advanced analytics techniques (e.g., predictive modeling, risk indicators, trend analysis) to Cybersecurity or technology risk problems. Experience incorporating or experimenting with AI‐enabled analytics or development tools (e.g., Claude, AI code assistants, agent‐based analytics) in a secure enterprise environment. Leadership experience as a technical lead, architect, or people manager within data, analytics, or Cyber practices. Strong proficiency with data visualization and BI tools (e.g., Tableau, Power BI) to deliver executive‐ready, actionable insights. Deep understanding of the Cyber data domain, including the ability to map analytics and outcomes to frameworks such as NIST CSF and familiarity with MITRE Telecommunication & CK. Experience working with enterprise data ecosystems, including data lakes, warehouses, and shared analytics platforms. Proven ability to operate as a consultative thought partner, shaping innovative use cases aligned to top Cyber risks and enterprise priorities. Track record of leading or delivering end‐to‐end data and analytics initiatives that materially improved Cyber risk management, visibility, or decision‐making. Exceptional communication skills with the ability to translate complex technical outputs into business and risk context for senior leaders and non‐technical audiences. Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities * While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.

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