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Data Engineer Jobs in Gardner, MA (NOW HIRING)

AIS

Manufacturing Data Specialist

Leominster, MA

  • Medical

  • Dental

  • Retirement

  • PTO

Working closely with Engineering, Product Line Management, Manufacturing, Supply Chain, and Production Planning, this individual serves as a key resource in maintaining data integrity throughout the ...

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 ...

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All JobsData Engineer JobsData Engineer Jobs in Gardner, MA

Data Engineer information

See Gardner, MA salary details

$47.1K

$137.4K

$188.1K

How much do data engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data engineer in Gardner, MA is $137,429.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,300.00 and $145,700.00 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 job categories do people searching Data Engineer jobs in Gardner, MA look for?

The top searched job categories for Data Engineer jobs in Gardner, MA are:

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Gardner, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $137,429 per year, or $66.1 per hour.

Manufacturing Data Specialist

AIS

Leominster, MA

Full-time

Medical, Dental, Retirement, PTO

Posted 23 days ago

Job description

POSITION TITLE: Manufacturing Data Specialist

DEPARTMENT: AIS BOM Department

JOB TYPE: Full-Time - Exempt

REPORTS TO:  BOM & Configurations Manager

Role Overview: The Manufacturing Data Specialist is responsible for the creation, maintenance, and continuous improvement of manufacturing master data within the ERP system, including Bills of Materials (BOMs), Bills of Operations (BOOs), and Methods of Manufacturing (MOMs). This role ensures product data is accurate, complete, and aligned with engineering specifications to support manufacturing efficiency, inventory accuracy, and operational excellence.

Working closely with Engineering, Product Line Management, Manufacturing, Supply Chain, and Production Planning, this individual serves as a key resource in maintaining data integrity throughout the product lifecycle. Success in this role requires exceptional analytical skills, attention to detail, and experience within a manufacturing environment.

Key Responsibilities:

  • Create, maintain, and update Bills of Materials (BOMs), Bills of Operations (BOOs), and Methods of Manufacturing (MOMs) within the ERP system.
  • Validate manufacturing data to ensure accuracy, consistency, and compliance with engineering specifications.
  • Configure new products and support engineering changes throughout the product lifecycle.
  • Collaborate with Engineering, Manufacturing, Supply Chain, Product Line Management, and Production Planning to ensure accurate product configurations.
  • Maintain part numbering standards, product structures, and routing information.
  • Support Engineering Change Orders (ECOs) and ensure timely implementation of approved changes.
  • Perform data audits and identify opportunities to improve master data accuracy.
  • Troubleshoot ERP data issues affecting production, purchasing, scheduling, or inventory.
  • Develop and maintain documentation for manufacturing data processes and standards.
  • Assist with ERP system improvements, testing, and implementation of new manufacturing processes.
  • Recommend process improvements that increase efficiency and reduce data errors.

Qualifications

  • Bachelor's degree in Engineering, Manufacturing, Supply Chain, Business, or a related field (or equivalent experience).
  • 3-5 years of experience maintaining manufacturing master data in a manufacturing environment.
  • Experience with ERP systems (Epicor/Kinetic strongly preferred).
  • Strong understanding of:
    • Bills of Materials (BOMs)
    • Bills of Operations (BOOs)
    • Methods of Manufacturing (MOMs)
    • Engineering Change Orders (ECOs)
    • Product configuration
  • Advanced Microsoft Excel skills.
  • Experience interpreting engineering drawings and technical documentation preferred.

Core Competencies

  • Strong analytical and critical thinking skills
  • Exceptional attention to detail
  • Excellent organizational and time management skills
  • Effective written and verbal communication
  • Ability to manage multiple priorities in a fast-paced manufacturing environment
  • Collaborative team player with strong cross-functional relationship skills
  • Continuous improvement mindset
  • High level of accuracy and accountability
  • Problem-solving and decision-making abilities

Preferred Qualifications

  • Lean Manufacturing experience
  • Experience with Product Lifecycle Management (PLM) systems
  • SQL or reporting experience
  • Understanding of manufacturing costing
  • Knowledge of ISO or quality management systems
  • Experience supporting ERP implementations or upgrades

At AIS we have a strong set of values that guide our business and help us align with our customers.

We listen to our Customers. We rely on our Employees. We honor Integrity. We embrace Continuous Learning. We lead with Design. We create Value. We work to make the World better.

AIS offers a collaborative, team-oriented environment where employees are empowered to make an impact. We provide competitive compensation, comprehensive medical and dental benefits, 401(k) with company match, Flexible Spending Accounts, annual bonus opportunities, paid time off, and ongoing professional development in a growing manufacturing organization.

EEO/AA Statement

As an EEO/AA employer, AIS will not discriminate in its employment practices due to an applicant's race, color, sex, pregnancy, national origin, ancestry, citizenship, sexual orientation, gender identity or expression, protected genetic information, age, disability, marital status, veteran status, religion, height, weight, other protected group status, or any other basis protected by the laws where we employ people.

This organization participates in E-Verify Employment Eligibility Verification.

AIS is a Federal Contractor and required to comply with Executive Order 14042.

 

DISCLAIMER

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified.

No H-1B sponsorship is offered for this position.

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