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

Data Engineer

Wakefield, MA · On-site

$120K - $145K/yr

Prior experience in professional services, engineering, or construction environments is a plus. * Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect ...

Data Engineer

Wakefield, MA · On-site

$90K - $150K/yr

Prior experience in professional services, engineering, or construction environments is a plus. * Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect ...

Associate Customer Service

Beverly, MA · On-site

$53K - $106K/yr

Client Services Associate Carrier Global Corporation, global leader in intelligent climate and ... Superior attention to detail to accurately input data and navigate databases Pay Range The annual ...

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Clinical Data Associate

Boston, MA · On-site

$50K - $62K/yr

The Data Associate is responsible for the quality control of patient data on one or more studies ... Strong customer service skills and an ability to interact cordially with others * Attention to ...

Showing results 21-40

Data Services Associate information

See Boston, MA salary details

$10

$20

$33

How much do data services associate jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for data services associate in Boston, MA is $20.36, according to ZipRecruiter salary data. Most workers in this role earn between $16.73 and $21.68 per hour, depending on experience, location, and employer.

What is a data services associate?

Data Services Associates are professionals responsible for managing, organizing, and processing large amounts of data within an organization. They typically handle data entry, data quality checks, and the maintenance of databases or data systems. Their work ensures that data is accurate, up-to-date, and accessible to other teams for analysis and decision-making. Data Services Associates may also assist with reporting, troubleshooting data issues, and supporting data migration or integration projects.

How does a data services associate typically collaborate with other departments within an organization?

Data Services Associates often work closely with teams such as analytics, IT, marketing, and operations to ensure data is accurately collected, maintained, and distributed. They may support project initiatives by gathering requirements from stakeholders, resolving data discrepancies, and providing timely data reports to inform business decisions. Strong communication skills are essential, as Associates frequently translate technical data concepts into actionable insights for non-technical teams. This collaborative environment fosters both learning and professional growth, as Associates gain exposure to a variety of business functions.

What are the key skills and qualifications needed to thrive as a data services associate, and why are they important?

To thrive as a Data Services Associate, you need strong analytical skills, attention to detail, and a foundational understanding of data management, typically supported by a degree in information systems or a related field. Familiarity with data processing tools such as SQL, Excel, and data visualization platforms, along with experience in database systems, is often required. Effective communication, problem-solving abilities, and a collaborative mindset help individuals excel in team-based, data-driven environments. These skills ensure accurate data handling, efficient workflow, and impactful insights for organizational decision-making.

What is the difference between Data Services Associate vs Data Analyst?

AspectData Services AssociateData Analyst
Required CredentialsTypically a bachelor's degree in data management, IT, or related fieldsUsually a bachelor's degree in statistics, mathematics, or related fields; often requires analytical skills
Work EnvironmentData management teams, data warehouses, or IT departmentsBusiness units, analytics teams, or consulting firms
Employer & Industry UsageUsed across industries for data handling and support rolesCommonly employed for data analysis, reporting, and insights generation

The Data Services Associate primarily focuses on managing, organizing, and maintaining data systems, ensuring data quality and accessibility. In contrast, a Data Analyst interprets data, creates reports, and provides insights to support decision-making. While both roles require familiarity with data tools, the Data Services Associate emphasizes data infrastructure, whereas the Data Analyst emphasizes data interpretation and analysis.

What are popular job titles related to Data Services Associate jobs in Boston, MA?

For Data Services Associate jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Data Services Associate jobs in Boston, MA look for?

The top searched job categories for Data Services Associate jobs in Boston, MA are:

What cities near Boston, MA are hiring for Data Services Associate jobs?

Cities near Boston, MA with the most Data Services Associate job openings:

Infographic showing various Data Services Associate job openings in Boston, MA as of September 2026, with employment types broken down into 2% As Needed, 78% Full Time, 16% Part Time, and 4% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $42,341 per year, or $20.4 per hour.

Data Engineer

Wakefield, MA • On-site

GEI Consultants
Civil Engineering Construction • 1 - 5K employees

$120K - $145K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


GEI Consultants rating

7.6

Company rating: 7.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

Description
Your role at GEI.
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring enterprise data is accessible, reliable, and governed so that AI capabilities can be deployed and scaled with confidence.
The Data Engineer plays a hands-on role by preparing and integrating the data foundations that AI solutions depend on. This includes building ingestion pipelines, managing data stores, implementing quality and governance controls, and supporting retrieval patterns such as RAG. This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards.
Essential Responsibilities & Duties
  • Design, build, and maintain data pipelines that ingest, transform, and deliver enterprise data to AI solutions and business applications.
  • Develop and manage integrations across enterprise data sources using APIs, Graph connectors, event-driven architectures, and batch/streaming patterns.
  • Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns.
  • Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of data feeding AI workflows.
  • Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics.
  • Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution requirements for schema, latency, and freshness.
  • Instrument data pipelines for monitoring, alerting, cost control, and performance optimization.
  • Implement data governance and security controls including access management, encryption, and compliance with organizational data policies.
  • Identify data-related risks and support mitigation strategies in collaboration with architecture and platform teams.

Minimum Qualifications
  • 4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines.
  • Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.
  • Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL.
  • Familiarity with Azure AI Search, Cosmos DB, or similar services used to support AI retrieval and storage patterns.
  • Experience building and managing ETL/ELT pipelines with structured, semi-structured, and unstructured data sources.
  • Knowledge of data modeling, schema design, and indexing strategies for both analytical and AI workloads.
  • Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g., Terraform, Azure DevOps).
  • Knowledge of data governance principles, including data cataloging, lineage, access control, and privacy requirements.
  • Knowledge of security best practices for data solutions, including encryption at rest and in transit, role-based access control, and private networking.
  • Experience with Databricks, including Delta Lake and Unity Catalog, is a plus.
  • Prior experience in professional services, engineering, or construction environments is a plus.
  • Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus.

We are GEI.
Some of the world's most pressing problems - from climate change to sustainable development, to critical infrastructure and the future of our energy supply - need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow.
We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients' most complex challenges.
With several offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry. See all our office locations here .
Employee-owned. Employee-focused.
As an employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more. Our company culture is driven by our 4 Cs - we are Client-Centered, Curious, Collaborative, and Community Minded - which support our focus on sustainability, safety, diversity, equity and inclusion. Get to know us better by visiting GEI's career site here .
GEI's Total Rewards Package Includes
  • Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus
  • Pay Range For This Position: $90,000.00 - $150,000.00/year
  • Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More
  • Well-Being Program and Paid Parental Leave
  • Commuter Benefits
  • Hybrid Work Schedules and Cell Phone Stipends
  • GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement
  • Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement
  • Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses
  • Paid Holidays and Generous Paid Time Off Program
  • Rewards and Recognition
  • GEI-Funded Profit Sharing and 401(k)
  • Opportunity to be an Owner and Shareholder (Learn more here )
  • A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion
  • And More...

PHYSICAL REQUIREMENTS
WORK ENVIRONMENT
Functional Demands:
Sedentary
x
Light
Medium
Other
Activity Level Throughout Workday (check one per row)
Physical Activity Requirements
Occasional
(0-35% of day)
Frequent
(33-66% of day)
Continuous
(67-100% of day)
Not Applicable
Sitting
x
Standing
x
Walking
x
Climbing
x
Lifting (floor to waist level) (in pounds)
x
Lifting (waist level and above) (in pounds)
x
Carrying objects
x
Push/pull
x
Twisting
x
Bending
x
Reaching forward
x
Reaching overhead
x
Squat/kneel/crawl
x
Wrist position deviation
x
Pinching/fine motor skills
x
Keyboard use/repetitive motion
x
Taste or smell (taste=never)
x
Talk or hear
x
Accurate 20/40
Very Accurate 20/20
Not Applicable
Near Vision
x
Far Vision
x
Yes
No
Not Applicable
Color Discrimination
Sensory Requirements
Minimal
Moderate
Accurate
Not Applicable
Depth perception
x
Hearing
x
Environment Requirements
Occupational Exposure Risk Potential
Reasonably Anticipated
Not Anticipated
Blood borne pathogens
x
Chemical
x
Airborne communicable diseases
x
Extreme temperatures
x
Radiation
x
Uneven surfaces or elevations
x
Extreme noise levels
x
Dust/particulate matter
x
Other (exposure risks):
Usual workday hours :
x
8
10
12
Other work hours
GEI is an AA/equal opportunity employer, including disabled and veterans.

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