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Data Engineer Jobs in Hopkinton, MA (NOW HIRING)

Xometry

Staff Data Engineer

Waltham, MA · On-site

Xometry is looking for a Staff Data Engineer to join our Data Platform team. This is a senior individual contributor role with broad technical scope and high organizational impact. You will own data ...

Xometry

Staff Data Engineer

Waltham, MA

Xometry is looking for a Staff Data Engineer to join our Data Platform team. This is a senior individual contributor role with broad technical scope and high organizational impact. You will own data ...

Motion Recruitment

Staff Data Engineer

Boston, MA · On-site

This role combines data architecture, platform engineering, and technical leadership, with a focus on building scalable ETL/ELT pipelines, modern cloud-based data platforms, and trusted data ...

PeopleSERVE, Inc.

Data Engineer 181254

Boston, MA · On-site

$124K - $149K/yr

PeopleSERVE, Inc. is a company seeking a Data Engineer to design and build scalable data solutions. The role involves collaboration with product owners, ensuring data integrity, and providing ...

Pwc

Data Engineer - Manager

Boston, MA

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Pwc

Data Engineer - Senior Associate

Boston, MA · On-site

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Pwc

Data Engineer - Senior Manager

Boston, MA

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

MAPFRE

Data Engineer III (Platform)

Webster, MA · On-site

$100K - $160K/yr

The Data Engineer is responsible for designing, developing, and optimizing data pipelines and backend services that power MAPFRE USA's data platforms and analytical products. This role extends ...

American Tower

Principal Data Engineer

Woburn, MA · On-site

$120 - $160/hr

The Team We are seeking a Principal Data Engineer to join American Tower's Information Technology organization's Data & Analytics team. The team architects, builds, and optimizes cloud-native data ...

Eight Sleep

Clinical Data Engineer

Boston, MA · On-site

$124K - $149K/yr

The Role We're looking for a Clinical Data Engineer who will own the end-to-end data pipelines for our clinical studies, including regulatory trials. You will create monitoring tools for tracking ...

ICS Global Soft INC

Senior Data Engineer

Boston, MA · On-site +1

$115K - $156K/yr

Data Engineer & Senior Data Engineer Location: Remote or Boston, MA & San Mateo, CA Duration: FTE Candidates need to be able to manage data modeling and themovement of data from any disparate system ...

Whoop

Senior Data Engineer

Boston, MA · On-site

$150K - $215K/yr

WHOOP is hiring a Senior Data Engineer to lead the design, development, and evolution of the data systems that power analytics, experimentation, machine learning, and business decision-making across ...

The Boston Beer Company

BI Data Engineer II

Boston, MA · On-site

$124K - $149K/yr

As a hands-on Data Engineer II, you will contribute across the data engineering lifecycle-from requirements gathering and solution design through development, testing, deployment, monitoring, and ...

Boston Beer Corporation

BI Data Engineer II

Boston, MA · On-site

$124K - $149K/yr

As a hands-on Data Engineer II, you will contribute across the data engineering lifecycle-from requirements gathering and solution design through development, testing, deployment, monitoring, and ...

The Boston Beer Company

BI Data Engineer II

Boston, MA

$124K - $149K/yr

As a hands-on Data Engineer II, you will contribute across the data engineering lifecycle-from requirements gathering and solution design through development, testing, deployment, monitoring, and ...

Paul Hastings

Senior Data Engineer

Boston, MA

$194K/yr

Job Title Senior Data Engineer Location Atlanta, Boston, Charlotte, Chicago, Dallas, Houston, Los Angeles, New York Regular/Temporary Regular Summary We have an opening for a Senior Data Engineer.

Paul Hastings

Senior Data Engineer

Boston, MA · On-site

$194K/yr

Job Title Senior Data Engineer Location Atlanta, Boston, Charlotte, Chicago, Dallas, Houston, Los Angeles, New York Regular/Temporary Regular Summary We have an opening for a Senior Data Engineer.

Lorven Technologies

Data Engineer with AI - Remote

Boston, MA · On-site +1

$124K - $149K/yr

Our client seeks an Data Engineer + AI for a 12 Months project in Boston, MA. Below is the detailed requirement Job Title: Data Engineer + AI Work location : Boston, MA Duration: 12 Months Job ...

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Showing results 41-60

All JobsData Engineer JobsData Engineer Jobs in Hopkinton, MA

Data Engineer information

See Hopkinton, MA salary details

$48.9K

$142.5K

$195K

How much do data engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data engineer in Hopkinton, MA is $142,523.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,800.00 and $151,100.00 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 Hopkinton, MA?

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

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

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

What job categories do people searching Data Engineer jobs in Hopkinton, MA look for?

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Hopkinton, MA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $142,523 per year, or $68.5 per hour.

Staff Data Engineer

Xometry

Waltham, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago

Job description

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
Xometry is looking for a Staff Data Engineer to join our Data Platform team. This is a senior individual contributor role with broad technical scope and high organizational impact. You will own data architecture decisions, lead the design of scalable pipelines and platforms, and set the engineering bar for how we build and operate our data systems. You will partner closely with engineering, product, analytics, and machine learning teams to ensure our data infrastructure enables the business to move fast and make high-quality decisions. Everything you build will matter. A defining piece of this role is owning the data architecture behind one of Xometry's highest-leverage strategic initiatives: the DFM AI + IQE integration with our partner. You will be the data engineering lead for the digital thread that connects Xometry's platform to the partner ecosystem - Solid Edge, NX, Designcenter, and Teamcenter - building the pipelines, contracts, and observability that move quotes, parts, manufacturability signals, and pricing between the two systems in real time. The data plane you design is what makes the "science fiction speed" digital thread from ideation to delivery actually work.
How You'll Contribute:
  • Lead with technical depth - Design and drive the implementation of enterprise-scale data architecture and engineering solutions that span multiple systems and domains
  • Own the partner integration data plane - Architect and build the data layer of Xometry's embedded DFM AI + IQE integration with partner Teamcenter and Designcenter. Own the bidirectional pipelines, the joint data model for parts / BOMs / quotes / manufacturability signals, the low-latency signal path that delivers DFM and pricing feedback back into the designer's environment, and the governance, lineage, and audit posture required for a public-marketplace partner integration
  • Build for scale - Architect and optimize reliable batch and streaming data pipelines, data models, and platforms that handle Xometry's complex, high-volume data, including the real-time and event-driven flows that the partner integration depends on
  • Own the full lifecycle - Take end-to-end accountability for data engineering work from acquisition and transformation through to delivery, observability, and ongoing performance
  • Set the standard - Define and enforce best practices for data modeling, CI/CD, testing, and code quality across the data engineering function, including the contract-testing and schema-evolution discipline required when data crosses a partner boundary
  • Solve ambiguous problems - Navigate complex, cross-domain technical challenges, evaluate variable factors, and deliver solutions that meet both business and technical objectives
  • Develop multi-quarter roadmaps - Translate strategic priorities into concrete technical plans, working independently to determine methods and timelines
  • Collaborate broadly - Partner with engineers, product managers, data scientists, business stakeholders, and partner partner engineering teams to translate requirements into robust technical solutions
  • Mentor and elevate - Guide other engineers through design reviews, code reviews, and technical mentorship, raising the overall capability of the team
  • Evaluate and adopt - Stay current with the data engineering ecosystem and make informed recommendations on tools, platforms, and architectural patterns

What You'll Bring to Xometry:
  • Bachelor's degree in a STEM field (or equivalent experience) plus at least 5 years of experience in a data engineering related role, with demonstrated ownership of complex, large-scale data systems
  • Deep expertise with cloud data warehouses - Snowflake strongly preferred - including optimization, best practices, and performance tuning
  • Expert-level SQL and strong Python proficiency; comfort picking up additional languages as needed
  • Hands-on experience building and optimizing data pipelines, architectures, and data sets using modern tooling (dbt, Airbyte, Airflow, or similar)
  • Demonstrated experience planning and implementing enterprise data architecture across multiple systems and domains, including integrations that cross organizational or partner boundaries
  • Working knowledge of queueing, batch and stream processing (e.g., Kafka, Spark, Kinesis), and highly scalable data stores (e.g., Apache Iceberg)
  • Experience writing database-heavy services or APIs and designing for testability and maintainability
  • Deep understanding of CI/CD principles and demonstrated experience with automated testing, contract testing, and schema-evolution discipline in data pipelines
  • Strong grasp of the AWS data ecosystem and cloud-native infrastructure
  • Ability to operate independently on new and ambiguous assignments, determine methods and procedures, and communicate effectively at all levels of the organization - including with external partner engineering teams
  • Enterprise / partner integration experience - Prior work integrating with PLM, ERP, or large enterprise SaaS systems; partner Teamcenter experience (data model, BMIDE, Active Workspace APIs, AWC integrations) or comparable PLM exposure is a strong plus
  • Familiarity with data visualization tools (e.g., Looker, Streamlit)
  • Experience with data governance, data quality frameworks, and observability tooling - especially in contexts where data flows across partner or tenant boundaries
  • Exposure to modern lakehouse or data mesh architectural patterns
  • Experience with infrastructure as code (IaC) frameworks (e.g., Terraform, CloudFormation)
  • Experience with event-driven architecture, CDC pipelines, and low-latency operational data flows that feed back into a customer-facing UI
  • Experience in manufacturing, supply chain, or marketplace environments is a plus - but curiosity and drive matter more

The estimated base salary range for new hires into this role is $180,000-$200,000.00 annually + bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.
#LI-Hybrid
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
Xometry logo

About Xometry

Sourced by ZipRecruiter

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Industry

Software development

Company size

501 - 1,000 Employees

Headquarters location

Gaithersburg, MD, US

Year founded

2013

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