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Data Engineer Jobs in Amherst, MA (NOW HIRING)

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 · On-site

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

GTT, LLC

Database Consultant

Springfield, MA · On-site

$87.85/hr

Prototype and productionize integrations across Cyber tools and enterprise data platforms, partnering closely with data engineering and architecture teams to ensure sustainability, performance, and ...

CIRCOR International

Quality Data Entry - Temp

Warren, MA · On-site

$17.50 - $23.50/hr

Data entry into workflow management tools and trackers MRB material organization Data package ... engineering, computer science, business, or a technical field preferred - Requires 2-5 years of ...

Actalent

Manufacturing Engineer

Stafford, CT

$23 - $55/hr

Using data-driven approaches and lean methodologies, the Manufacturing Engineer identifies opportunities to enhance efficiency, reduce costs, and maintain consistent product quality. The role works ...

Actalent

Manufacturing Engineer

Stafford, CT

$23 - $55/hr

Using data-driven approaches and lean methodologies, the Manufacturing Engineer identifies opportunities to enhance efficiency, reduce costs, and maintain consistent product quality. The role works ...

CYNET SYSTEMS

Database Consultant

Springfield, MA · On-site

$79 - $84/hr

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 ...

LiquidPiston, Inc.

Controls Engineer

Suffield, CT · On-site

$81K - $104K/yr

For an engineer who enjoys figuring out why something isn't working, digging into the data, and then getting hands-on to make it work, this role offers the chance to have a direct impact on ...

LiquidPiston, Inc.

Controls Engineer

Suffield, CT · On-site

$81K - $104K/yr

For an engineer who enjoys figuring out why something isn't working, digging into the data, and then getting hands-on to make it work, this role offers the chance to have a direct impact on ...

LiquidPiston

Controls Engineer

Suffield, CT · On-site

$81K - $104K/yr

For an engineer who enjoys figuring out why something isn't working, digging into the data, and then getting hands-on to make it work, this role offers the chance to have a direct impact on ...

IMI Plc - Legacy Precision

Quality Engineer

Palmer, MA

$73K - $94K/yr

Monitor quality data and KPIs to identify trends, risks, and opportunities for process improvement. * Support product launches, engineering changes, and process validations including PFMEA, Control ...

IMI plc

Quality Engineer

Palmer, MA · On-site

$73K - $94K/yr

Monitor quality data and KPIs to identify trends, risks, and opportunities for process improvement. * Support product launches, engineering changes, and process validations including PFMEA, Control ...

IMI Plc - Legacy Precision

Quality Engineer

Palmer, MA · On-site

$73K - $94K/yr

Monitor quality data and KPIs to identify trends, risks, and opportunities for process improvement. * Support product launches, engineering changes, and process validations including PFMEA, Control ...

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Showing results 21-40

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 17, 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 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.

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.

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 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.

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.

Senior GEOINT Data Scientist

MANTECH

Springfield, MA

Full-time

Re-posted 8 days ago

ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

33rd of 244 rated software companies

Job description

hackajob is collaborating with MANTECH to connect them with exceptional professionals for this role.

MANTECH seeks a motivated, career and customer-oriented Senior GEOINT Data Scientist to join our team in Springfield, VA!

The Senior GEOINT Data Scientist will leverage their strong technical background and knowledge to support critical data environments, to include creating streamlined processes, evaluating unique datasets, and solving challenging intelligence issues.

Responsibilities include but are not limited to:

  • Working with large structured / unstructured data in a modeling and analytical environment to define and create streamline processes in the evaluation of unique datasets and solve challenging intelligence issues
  • Leading and participating in the design of solutions and refinement of pre-existing processes
  • Working with Program Managers and Product Owners to translate road map features into components/tasks, estimate timelines, identify resources, suggest solutions, and recognize possible risks
  • Using exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data
  • Researching and implementing optimization models, strategies, and methods to inform data management activities and analysis
  • Applying big data analytic tools to large, diverse sets of data to deliver impactful insights and assessments

Minimum Qualifications:

  • High School Diploma/GED with 10+ years of progressively responsible experience in GEOINT analysis, intelligence analysis, or a related technical field
  • Education/Training Substitutions:
    • Associate’s degree may substitute for 2 years of experience.
    • Bachelor’s degree may substitute for 3 years of experience.
    • Master’s degree may substitute for 2 years of experience.
    • PhD may substitute for 3 years of experience.
    • Professional certifications may substitute for up to 6 months of experience.
  • Significant experience supporting IC operations, possessing expert level knowledge to manipulate and analyze structured/ unstructured data
  • Demonstrated experience in data mining and developing/maintaining/manipulating databases
  • Demonstrated experience in identifying potential systems enhancements, new capabilities, concept demonstrators, and capability business cases
  • Demonstrated experience using GOTS data processing and analytics capabilities to modernize analytic methodologies
  • Demonstrated experience in directing activities of highly skilled technical and analytical teams responsible for developing solutions to highly complex analytical/intelligence problems
  • Experienced in conducting multi-INT and technology specific research to support mission operations

Preferred Qualifications:

  • Possess Master's degree in Data Science or related technical field with experience developing and working with Artificial Intelligence and Machine Learning (AI/ML)
  • Demonstrated experience of advanced programming techniques, using one or more of the following: HTML 5/Javascript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, Geospatial Analysis, Statistics, ArcGIS Desktop, ArcGIS Server, Arc SDE, ArcIMS
  • Experience using .NET, Python, C++, and/or JAVA programming for web interface development and geodatabase development
  • Experience building and maintaining databases of GEOINT, SIGINT, or OSINT data related to the area of interest needs
  • Data Visualization Experience which may include Matrix Analytics, Network Analytics, Graphing Data that assist the analytical workforce in generating common operational pictures depicting fused intelligence and information to support informal assessments and finished products

Clearance Required:

  • An active TS/SCI with the ability to obtain & maintain a Polygraph

Physical Requirements:

  • Must be able to remain in a stationary position 50%.
  • Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
  • Frequently communicates with co-workers, management, and senior personnel, which may involve delivering presentations. Must be able to exchange accurate information in these situations.

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