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Associate Data Engineering Jobs in Boston, MA (NOW HIRING)

Novartis Biomedical Research (NBR) is searching for a visionary Associate Director to lead Clinical Data Engineering within our Oncology Data Science (OncDS) team. In this pivotal role, you'll be at ...

The IT Associate Data Analyst partners with Customer-facing business teams and IT delivery teams to ... with engineering and application teams. The role also collaborates with Domain, Solution, and ...

Senior Associate, Data Engineer

Boston, MA ยท On-site

$115K - $156K/yr

... Boston data engineering team where the impact will be immediate and tangible. As a fast-growing, 400+ person company, we seek someone who is motivated, a self-starter, adaptable and comfortable ...

Sr. Data Engineering Lead, Onsite, VP

Quincy, MA ยท On-site

$120K - $144K/yr

Azure certifications such as Azure Data Engineer Associate or Azure Solutions Architect is a plus * Excellent communication skills and the ability to collaborate effectively with cross-functional ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Associate you analyze complex problems, mentor others, and maintain rigorous standards.

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Associate Data Engineering information

See Boston, MA salary details

$15

$35

$61

How much do associate data engineering jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for associate data engineering in Boston, MA is $35.93, according to ZipRecruiter salary data. Most workers in this role earn between $26.63 and $42.55 per hour, depending on experience, location, and employer.

What are some typical projects an Associate Data Engineer might work on in their first year?

In their first year, an Associate Data Engineer often works on building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of new data sources. They may also assist in optimizing existing data workflows for better performance and reliability, as well as collaborating closely with data analysts and senior engineers to ensure data quality and accessibility. These projects help new team members develop a strong understanding of the organization's data infrastructure and best practices in data engineering.

What are the key skills and qualifications needed to thrive as an Associate Data Engineer, and why are they important?

To thrive as an Associate Data Engineer, a solid understanding of database systems, SQL, data modeling, and a relevant bachelor's degree in computer science or a related field is essential. Familiarity with ETL tools, cloud platforms like AWS or Azure, and programming languages such as Python or Java is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help set candidates apart in collaborative, data-driven environments. These skills and qualities are crucial for building reliable data pipelines, ensuring data quality, and enabling actionable business insights.

What is an Associate Data Engineer?

An Associate Data Engineer is an entry-level professional who assists in designing, building, and maintaining data pipelines and infrastructure. They typically work with senior data engineers to ensure data is collected, stored, and processed efficiently for analytics and business use. Responsibilities often include data cleaning, integration, and supporting the development of scalable data solutions. Associate Data Engineers usually have foundational knowledge of programming, databases, and cloud technologies.

What is the difference between Associate Data Engineering vs Data Engineer?

AspectAssociate Data EngineeringData Engineer
Required CredentialsBachelor's degree in CS, IT, or related field; some certificationsBachelor's or master's degree; extensive experience preferred
Work EnvironmentEntry-level, team-focused, supporting data pipelinesDesigning, building, and maintaining large-scale data systems
Employer & Industry UsageCommon in tech companies, finance, healthcareUsed across industries for advanced data infrastructure roles
Search & Comparison IntentEntry-level, learning, support rolesAdvanced, specialized data infrastructure roles

The main difference between Associate Data Engineering and Data Engineer lies in experience and responsibilities. Associate Data Engineers are typically entry-level, focusing on supporting data pipelines and gaining hands-on experience. Data Engineers have more experience, handling complex data architecture, optimization, and system design. Both roles require similar educational backgrounds, but Data Engineers usually have more technical expertise and responsibility.

What are the most commonly searched types of Data Engineering jobs in Boston, MA? The most popular types of Data Engineering jobs in Boston, MA are:
What cities near Boston, MA are hiring for Associate Data Engineering jobs? Cities near Boston, MA with the most Associate Data Engineering job openings:
Data Engineer (remote)

Data Engineer (remote)

Human Services Research Institute

Cambridge, MA โ€ข On-site

$82K - $122K/yr

Full-time

Medical, Dental, Life, Retirement

Posted 25 days ago


Job description

Human Services Research Institute (HSRI) is seeking a full-time Data Engineer. The Data Engineer will support the growth of leading-edge health and human service data projects that use data to transform care across the nation. This role is responsible for working simultaneously on more than one project within a team that includes technical experts, data engineers, data scientists, research associates, project managers, and subject matter experts โ€“ to achieve project goals and deliverables.


The Data Engineer is responsible for designing, building, and optimizing scalable data solutions that support organizational analytics, reporting, and data quality initiatives. This role works independently on complex data engineering tasks and owns end-to-end data pipelines, integrations, and performance optimization using SQL, Python, and Microsoft Azure technologies.


Who We Are

HSRI is a nonprofit organization that conducts research and evaluation to improve health and human service systems. We work at the local, state, and federal levels. Our goal is to help public agencies understand and demonstrate the real-world impact of the services they provide, helping them transform their policies and practices to address root causes of disparities and improve health outcomes.


Our teams have an unwavering commitment to envisioning equitable policies and solutions that create a stronger society for us all. HSRI is an equal opportunity employer and is committed to building a diverse team, bringing as many possible perspectives as possible to bear on services that can profoundly affect peopleโ€™s health and well-being by addressing social determinants of health. We are committed to building an inclusive environment where people of all backgrounds can come to do their best work.


What Weโ€™re Looking For

HSRI is looking for an individual who thrives in a fast-paced environment, works collaboratively, and respectfully engages with diverse perspectives. The ideal candidate can build trusted relationships with internal teams, clients, community organizations, and other partners; understand their goals and challenges; recommend practical solutions; and partner with internal teams to deliver high-quality results on time and within budget.

Responsibilities

  • Design, develop, and maintain scalable data pipelines and automation workflows
  • Own and optimize ETL/ELT processes using SQL, Python, and Azure data technologies
  • Develop and maintain REST APIs and other data integration mechanisms
  • Integrate new and external data sources into production data environments
  • Monitor, test, and optimize data systems for performance and reliability
  • Define and implement data quality checks and reporting frameworks
  • Design and maintain dashboards, scorecards, and reports
  • Collaborate with cross-functional teams to improve data systems
  • Mentor Associate Data Engineers
  • Attend staff, team, and other required meetings and trainings

Minimum Qualifications

  • Bachelorโ€™s degree in computer science, information systems, or related field (or equivalent experience)
  • 3โ€“5 years of experience in data engineering or related roles
  • Strong proficiency in SQL and Python
  • Experience with Azure data services and data pipeline design
  • Experience building and optimizing data pipelines, architectures, and datasets
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
  • Experience supporting and working with cross-functional teams in a dynamic environment
  • Excellent attention to detail
  • Awareness of DevOps and Agile principles
  • Intermediate to advanced expertise with RESTful APIs, XML, JSON, C#, JavaScript, jQuery, and Azure Data Factory
  • Promote teamwork and team-building

Location

This is a remote position with an option to work from our Cambridge, MA, office, which is accessible by public transportation. HSRI does not permit remote work arrangements based in the U.S. Virgin Islands, Puerto Rico, and outside the United States. Must have unrestricted authorization to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa.

Hours

  • Full-time, Monday-Friday, 40 hours per week
  • This position allows flexibility in core hours


Additional Information

HSRI offers a comprehensive benefits package which includes:

  • Health
  • Dental
  • Short- and long-term disability
  • Life Insurance
  • 403(b) retirement plan
  • Flexible spending accounts
  • Education assistance program
  • 10 paid holidays
  • Remote work stipends (e.g., home office improvements, internet/mobile services)


Salary Range

$82,100-$122,150

Pay is commensurate with skills and experience.

HSRI is committed to pay equity in providing employees with equal pay for equal work and carefully considers a wide range of compensation factors, including, but not limited to, prior experience, education, certification(s), license(s), skills, expertise, location, internal equity, and other factors that are job-related and consistent with the organizationโ€™s needs. Our offer of employment takes into consideration total compensation, including benefits.

For more information on HSRI, please visit www.hsri.org.

How to Apply

Interested candidates are encouraged to submit a cover letter and resume/CV through HSRIโ€™s Career Center.

You can copy/paste the URL into your browser: https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=9199cf31-c52e-4b8f-b6c1-bfd2a6cce9e0&ccId=9201183405653_2&type=JS&lang=en_US&selectedMenuKey=CareerCenter

You can also mail materials to:

Attention: Human Resources

Human Services Research Institute

2336 Massachusetts Ave.

Cambridge, MA 02140

No phone calls or email inquiries, please.