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Associate Data Engineer Jobs in Massachusetts (NOW HIRING)

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

Associate Dir, Full Stack Data Scientist

Cambridge, MA ยท On-site +1

$64K - $65K/yr

Associate Dir, Full Stack Data Scientist PURPOSE: The purpose of the Associate Director is to lead ... Additionally, you will coordinate the work conducted by external analytics developers and process ...

Associate Dir, Full Stack Data Scientist

Cambridge, MA ยท On-site

$64K - $65K/yr

Associate Dir, Full Stack Data Scientist PURPOSE: The purpose of the Associate Director is to lead ... Additionally, you will coordinate the work conducted by external analytics developers and process ...

Data Governance- Manager

Boston, MA ยท On-site

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary ...

Lead Data Engineer - Primary Care

Boston, MA ยท On-site

$111K - $146K/yr

Become a part of our caring community The Lead Data Engineer oversees data processing architectures ... Associate benefits are designed to encourage personal wellness and smart healthcare decisions for ...

Lead Data Engineer - Primary Care

Boston, MA ยท On-site

$111K - $146K/yr

Become a part of our caring community The Lead Data Engineer oversees data processing architectures ... Associate benefits are designed to encourage personal wellness and smart healthcare decisions for ...

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Associate Data Engineer information

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How much do associate data engineer jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for associate data engineer in Massachusetts is $20.46, according to ZipRecruiter salary data. Most workers in this role earn between $16.78 and $21.78 per hour, depending on experience, location, and employer.

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, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

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

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

What does an Associate Data Engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are some common challenges an Associate Data Engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.
What are the most commonly searched types of Data Engineer jobs in Massachusetts? The most popular types of Data Engineer jobs in Massachusetts are:
What are popular job titles related to Associate Data Engineer jobs in Massachusetts? For Associate Data Engineer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Associate Data Engineer jobs in Massachusetts look for? The top searched job categories for Associate Data Engineer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Associate Data Engineer jobs? Cities in Massachusetts with the most Associate Data Engineer job openings:
Senior Cloud Data and Analytics Engineer

Senior Cloud Data and Analytics Engineer

Healthdrive Corporation

Framingham, MA โ€ข On-site

$100K - $150K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Overview
The Senior Cloud Data and Analytics Engineer is a senior technical role responsible for operating, enhancing, and extending a cloud-native data estate on Microsoft Fabric that supports the organization's growth at scale. The role matures the OneLake lakehouse and pipeline foundation and builds the standardized, analytics-ready ("gold") data layer and certified business-metric definitions. Working within HealthDrive's HIPAA and PHI safeguards at all times, this individual partners with Finance and Operations to translate Value-Based Care and business-performance questions into trusted, reusable data models that power the organization's analytics and reporting. Compensation, $100K to $150K, depending on experience, skill set, and proven track record.
Responsibilities
  • Operate, enhance, and extend HealthDrive's cloud data platform on Microsoft Fabric, including the OneLake lakehouse, a medallion (bronze/silver/gold) architecture, and the Fabric Data Warehouse.
  • Build and orchestrate batch and streaming ingestion pipelines that land raw clinical, operations, and financial data into OneLake, using Fabric Data Factory and Spark notebooks.
  • Maintain and extend the standardized clinical, operations, and finance data model (including claims data) in dbt, executing transformations within the Fabric Warehouse to produce a consistent, analytics-ready gold layer, and develop new data models as analytics needs grow.
  • Develop curated gold-layer datasets and certified semantic models in Microsoft Fabric that power financial, revenue, quality, territory, and provider-performance analytics and executive KPI reporting.
  • Establish canonical, governed business-metric definitions in the platform as the single source of truth for all downstream consumption.
  • Implement and enforce PHI governance - access controls, data lineage, cataloging, and auditability - using Microsoft Purview and Fabric-native controls.
  • Partner with the VP of IT, the Software Development Manager (owner of the source data warehouse), the business analysis function, and the operations and finance teams to align the data platform to business and technical needs.
  • (Nice to have) Prototype and operationalize machine learning and generative AI use cases, including feature pipelines and model deployment, in support of upcoming data science needs.

Qualifications
  • Deep, hands-on expertise with Microsoft Fabric (OneLake, Lakehouse, Data Warehouse, Data Factory, Synapse Data Engineering) and strong overall Azure fluency.
  • Strong proficiency in Python and SQL for data engineering and transformation.
  • Production experience with dbt for modular, testable transformation pipelines.
  • Sound grasp of lakehouse and medallion architecture, pipeline orchestration, and data-quality practices.
  • Working knowledge of sourcing data from an existing on-premises Microsoft SQL Server data warehouse.
  • Experience handling healthcare data across clinical, operational, and financial domains under HIPAA, with disciplined PHI handling.
  • Working knowledge of Value-Based Care analytics, with fluency in healthcare financial and operational concepts - sufficient to model and reason about revenue, cost, quality, and provider performance, not merely engineer the pipelines beneath them.
  • (Nice to have) Good knowledge of Power BI semantic modeling and dataset design, including Direct Lake and gold-layer enablement.
  • (Nice to have) General AI/ML capability - the ability to build and code both traditional machine learning and generative AI models.
  • (Nice to have) Familiarity with healthcare data models such as the Tuva Project.
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field; Master's preferred.
  • 5+ years of data engineering experience, including hands-on delivery on a cloud data platform and modern data warehouse, with experience working with healthcare data across clinical, operational, and financial domains.
  • (Preferred) Microsoft Certified: Fabric Analytics Engineer Associate (DP-600).
  • (Preferred) Microsoft Certified: Azure Data Engineer Associate, or Azure AI Engineer Associate (AI-102).
  • (Nice to have) Microsoft Certified: Power BI Data Analyst Associate (PL-300).