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Data Engineer Jobs in Hopkinton, MA (NOW HIRING)

Data Engineer

Boston, MA

$140K - $160K/yr

WHAT YOU'LL DO At Daymark Health, we are transforming how data drives decision-making in healthcare. We are seeking a Data Engineer who is passionate about building scalable, impactful data pipelines ...

Data Engineer

Smithfield, RI · On-site

$110K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Kforce has a client in Smithfield, RI that is seeking a Data Engineer. REQUIREMENTS: * Bachelor's degree, preferably in Engineering or Business * 6-9 years of professional experience designing ...

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

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Data Engineer

Boston, MA · On-site

$150K - $160K/yr

Position Summary We are seeking a Senior Data & Distribution Platform Engineer to support enterprise data, marketing, and distribution applications for a global asset-management organization. This ...

New

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Data Engineer

Boston, MA · On-site

$150K - $160K/yr

Position Summary We are seeking a Senior Data & Distribution Platform Engineer to support enterprise data, marketing, and distribution applications for a global asset-management organization. This ...

New

Data Engineer

Boston, MA · Remote

$117K - $140K/yr

The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that powers Arbor's intelligence layer. You'll be the connective tissue between our production systems and ...

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Job Title :- Teradata Developer with Data Analyst exp Duration :- 8+ months Location :- Onsite based out of Boston, MA ( Only Locals) Description: The client is looking for a Data Warehouse Engineer ...

Data Engineer

Boston, MA · Remote

$137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Engineer Job Duties: * Discover hidden information using massive datasets and leveraging advanced data analytics and machine learning techniques to enable data-driven strategic decision-making.

New

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

What we are looking for is a Data Engineer who will work to build and maintain the systems that make investment data accessible, reliable, and ready for analytics. You will have opportunities to work ...

Data Engineer

Babson Park, MA · On-site

$125K - $150K/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 ...

Data Engineer

Cambridge, MA · On-site

$126K - $151K/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 ...

Data Engineer I

Boston, MA · On-site

$124K - $149K/yr

Data Engineer I Job Summary: Essential Functions: * Support the design and implementation of changes to our data model in collaboration with senior data engineers and the product team. * Develop ...

Data Engineer

Worcester, MA · On-site

$114K - $137K/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 ...

Data Engineer

Brockton, MA · On-site

$115K - $138K/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 ...

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Job Title :- Data Engineer Duration :- 8+ months Location :- Onsite based out of Boston, MA (Only Locals) The client is looking for a Data Warehouse Engineer(Contractor) to join the Enterprise Data ...

Data Engineer

Smithfield, RI · On-site

$65 - $70/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Onsite in Smithfield, RI Our client seeks a Data Engineer to design, build, and support enterprise-scale data platforms and pipelines. The role focuses on ELT/ETL across Snowflake, Oracle, and ...

Sr. Data Engineer

Milford, MA

$125K - $150K/yr

As a Sr Data Engineer, you will be responsible for implementing AI, process automation, data solutions, and app development on the Celonis and other platforms. This will require you to understand ...

Sr. Data Engineer

Milford, MA · On-site

$125K - $150K/yr

As a Sr Data Engineer, you will be responsible for implementing AI, process automation, data solutions, and app development on the Celonis and other platforms. This will require you to understand ...

Sr. Data Engineer

Milford, MA · On-site

$125K - $150K/yr

As a Sr Data Engineer, you will be responsible for implementing AI, process automation, data solutions, and app development on the Celonis and other platforms. This will require you to understand ...

Showing results 21-40

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 12, 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.
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? The top searched job categories for Data Engineer jobs in Hopkinton, MA are:
What cities near Hopkinton, MA are hiring for Data Engineer jobs? Cities near Hopkinton, MA with the most Data Engineer job openings:
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.

Data Engineer

Daymark Health

Boston, MA

$140K - $160K/yr

Full-time

Posted 4 days ago


Job description

Daymark Health is a value-based oncology company redefining the cancer care experience for patients, providers, and health plans. Daymark's comprehensive, personalized cancer care platform empowers patients with dedicated care navigation, symptom-focused support, behavioral health care, and social resources. Combined with evidence-based health interventions and a hybrid in-person + virtual care model, Daymark is improving the overall cancer experience for patients, providers, and health plans – and setting a new standard in cancer care.

Daymark's groundbreaking approach is led by CEO Dr. Justin Bekelman, a pioneer in transforming cancer care, alongside some of the nation's foremost leaders in oncology and value-based care. Daymark Health is backed by Maverick Ventures, Yosemite, Oncology Ventures, Healthier Capital, Blue Venture Fund, and Healthcare Foundry.

Be cautious of recruitment fraud, and always confirm that communications are coming from an official Daymark Health email.

WHAT YOU'LL DO

At Daymark Health, we are transforming how data drives decision-making in healthcare. We are seeking a Data Engineer who is passionate about building scalable, impactful data pipelines, working with complex healthcare datasets, and contributing to Daymark's mission. Working very closely with Finance and Clinical leaders, you will play a key role in shaping the foundation of our data operations. In this role, you will:

  • Support the deployment of scalable infrastructure and tooling (e.g. Snowflake, dbt, AWS, Sigma) to support analytics, reporting, and real-time data exchange with providers and partners.
  • Drive high-impact analyses across claims, EHR, and real-time patient activity data, translating complex data into clear insights that inform care delivery and payer collaboration.
  • Build and scale robust data pipelines and governance practices to ensure data integrity, availability, and compliance across the organization.
  • Partner cross-functionally with Product, Engineering, Clinical, and external teams to prioritize data initiatives that advance Daymark's mission and scale our value-based care model
  • Develop and maintain real-time analytics capabilities to monitor key metrics and inform strategic decisions.
  • Collaborate with engineering and other teams to integrate analytics into production systems.
  • Provide ongoing insights from partner and provider data that directly impact patient outcomes and business success.
  • Align data infrastructure to be flexible in organization's strategic priorities (i.e., pharma data, Fee-for-service, etc.)
  • Augment analytics processes with AI use cases

WHAT WE ARE LOOKING FOR

  • Experience: You bring 4+ years of experience in data engineering, with a strong technical foundation and track record of building scalable data systems in cloud environments. You've implemented modern data stacks including Snowflake, AWS, dbt, and other best-in-class tools.
  • Healthcare data expertise: You have a deep understanding of healthcare data—particularly claims, EMR, and patient-generated health data—and how to translate it into insights that drive care delivery, cost reduction, and payer-provider alignment. You've worked with actuarial teams or value-based care leaders to model risk, evaluate performance, and inform contract design or shared savings arrangements.
  • Strategic problem-solver: You thrive in ambiguity and are energized by building clarity from complexity. You combine hands-on technical ability with a systems-thinking mindset to design solutions that scale.
  • Collaborative operator: You're a strong communicator and cross-functional partner who can navigate between technical teams and clinical leaders to drive results.
  • Curiosity and innovation: You constantly seek better ways to unlock the value of data. You stay current with emerging tools and methodologies and bring a creative, experimental approach to solving problems.
  • Mission-first: You are driven by a desire to improve the healthcare system and deeply aligned with Daymark's mission to transform cancer care for patients, families, and providers.

Additional Information

The expected compensation for this role is $140,000 to $160,000 annually, depending on location & experience.

This role is remote but candidates must be based in the Northeastern US.