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Data Modeling Jobs in Massachusetts (NOW HIRING)

Understand where data is, basic models and architecture, how to access and obtain data, and how to manipulate and work with data to produce output - which may be reports, data sets, or self-service ...

Understand where data is, basic models and architecture, how to access and obtain data, and how to manipulate and work with data to produce output - which may be reports, data sets, or self-service ...

Understand where data is, basic models and architecture, how to access and obtain data, and how to manipulate and work with data to produce output - which may be reports, data sets, or self-service ...

Understand where data is, basic models and architecture, how to access and obtain data, and how to manipulate and work with data to produce output - which may be reports, data sets, or self-service ...

Data Engineer 181254

Boston, MA · On-site

$124K - $149K/yr

Responsibilities : • Design and build scalable data solutions, including data processing pipelines, migrations, and complex data modeling. • Identify new development opportunities within a ...

Apply graph-based data modeling for efficient Oncology R&D organization, integration and retrieval to ensure system flexibility and long-term maintainability. * Work with a larger community of Data ...

This role ensures consistent data models, seamless integration, and high data quality across operational and analytical environments. Key ResponsibilitiesEnterprise Data Architecture (ERP, MES, PLM)

This role ensures consistent data models, seamless integration, and high data quality across operational and analytical environments. Key Responsibilities Enterprise Data Architecture (ERP, MES, PLM)

Showing results 41-60

Data Modeling information

See Massachusetts salary details

$11

$64

$90

How much do data modeling jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for data modeling in Massachusetts is $64.12, according to ZipRecruiter salary data. Most workers in this role earn between $57.50 and $74.57 per hour, depending on experience, location, and employer.

What is a data modeling?

A Data Modeling job involves designing and structuring data to ensure it is organized, efficient, and scalable for business needs. Data modelers create conceptual, logical, and physical data models that define relationships between data elements. They work closely with database administrators, data engineers, and analysts to optimize data storage and retrieval. Their role is crucial for maintaining data integrity and supporting business intelligence and analytics initiatives. Skills in SQL, database design, and data normalization are essential for success in this role.

What does a typical day look like for someone working in data modeling?

A typical day in Data Modeling often involves collaborating with business analysts, database administrators, and software developers to understand data requirements and translate them into logical and physical data structures. Data modelers spend time designing, reviewing, and optimizing data models, ensuring accuracy and consistency across systems and projects. They also review data flows, document data dictionaries, and participate in meetings to align data architecture with overall business needs. The role frequently requires balancing independent technical work with teamwork, as well as responding to feedback and evolving project requirements to support organizational goals.

What are the key skills and qualifications needed to thrive in data modeling, and why are they important?

To thrive in Data Modeling, you need strong analytical skills, proficiency in database design, and a solid understanding of data structures, usually supported by a degree in computer science, information systems, or a related field. Expertise with tools such as ERwin, SQL, PowerDesigner, or similar data modeling software, as well as knowledge of normalization techniques and experience with data warehousing concepts, are highly valued. Effective communication, attention to detail, and problem-solving abilities set outstanding data modelers apart, allowing them to convey complex concepts to both technical and non-technical stakeholders. These skills are vital for building accurate, scalable data models that serve as the foundation for reliable data-driven decision-making within organizations.

How much do data modelers make?

Data modelers typically earn a median annual salary between $80,000 and $120,000, depending on experience, location, and industry. Senior data modelers with advanced skills in database design and data warehousing can earn higher salaries, often exceeding $130,000. Certifications in data management and proficiency with tools like SQL and ER modeling can also influence compensation.

Is data modeling a good career?

Data modeling is a valuable career in data management and analytics, involving designing and organizing data structures for databases and systems. It requires skills in database tools, understanding of business requirements, and often benefits from certifications like CBIP or data modeling tools such as ERwin or PowerDesigner. The role offers opportunities in various industries with a focus on data quality and efficiency.

Is data modeling hard to learn?

Data modeling can be challenging for beginners due to the need to understand database structures, relationships, and normalization concepts. However, with consistent study, practice, and familiarity with tools like ER diagrams and SQL, many learners can develop proficiency over time.

What job categories do people searching Data Modeling jobs in Massachusetts look for?

The top searched job categories for Data Modeling jobs in Massachusetts are:

What cities in Massachusetts are hiring for Data Modeling jobs?

Cities in Massachusetts with the most Data Modeling job openings:

Infographic showing various Data Modeling job openings in Massachusetts as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $133,373 per year, or $64.1 per hour.

$104K - $121K/hr

Full-time

Re-posted 3 days ago


Job description

Established in 1980, the Greater Lawrence Family Health Center, Inc. (GLFHC) is a multi-site, mission-driven, non-profit organization employing over 700 staff whose primary focus is providing the highest quality patient care to a culturally diverse population throughout the Merrimack Valley. Nationally recognized as a leader in community medicine (family practice, pediatrics, internal medicine, and geriatrics), GLFHC has clinical sites in Lawrence, Methuen, and Haverhill and is the sponsoring organization for the Lawrence Family Medicine Residency program.

GLFHC is currently seeking a Senior Data Architect to join our team. Under the direction of the AVP of Information Services, the Senior Data Architect plays a key role in designing, maintaining, and advancing Greater Lawrence Family Health Center’s enterprise data warehouse and analytics environment. This position is responsible for ensuring that clinical, operational, financial, and regulatory data is structured, reliable, secure, and accessible to support decisionmaking and required reporting for internal leadership as well as federal, state, and local agencies. The Senior Data Architect works collaboratively as a member of the Information Services team and the broader Health Center team, partnering closely with the Data Warehouse, Business Intelligence, Applications, Clinical Informatics, Finance, and Operations teams. This role provides technical leadership, establishes data architecture standards, and ensures the integrity, performance, and sustainability of GLFHC’s data assets in support of the Health Center’s mission to provide highquality, patientcentered care.

Data Architecture & Warehouse Design

  • Design, document, and maintain the enterprise data warehouse architecture, including data models, schemas, and data integration patterns.
  • Ensure data architecture supports reporting needs across clinical quality, UDS, population health, operations, finance, and grants management.
  • Develop and enforce standards for data modeling, naming conventions, and architectural best practices to promote consistency and longterm maintainability.
  • Evaluate existing data structures and recommend improvements to enhance performance, scalability, and reliability.

Data Integration & Technical Leadership

  • Work closely with the Data Warehouse team to design, support, and optimize ETL/ELT processes from source systems such as EMR/PM, HR, finance, and external data sources.
  • Partner with Applications and Infrastructure teams to analyze system changes, software releases, and upgrades to ensure continued accuracy and availability of warehouse data.
  • Support automation, scheduling, and monitoring of data loads to ensure timely and dependable data delivery.
  • Lead troubleshooting and resolution of complex data issues, including rootcause analysis for data quality or performance concerns.

Data Governance, Quality & Compliance

  • Support enforcement of data governance standards, including data definitions, ownership, lineage, and documentation.
  • Establish and maintain data quality validation processes to ensure accuracy, completeness, and consistency of reporting data.
  • Ensure data warehouse design and usage comply with HIPAA, GLFHC security policies, and privacy requirements.
  • Assist with audits, grant reporting, and regulatory reviews by ensuring data is welldocumented, traceable, and reliable.

Collaboration & Communication

  • Serve as a senior technical resource and liaison between Information Services, clinical teams, operations, finance, and leadership.
  • Translate business and clinical reporting needs into clear technical requirements and data models.
  • Provide guidance and oversight to BI developers, analysts, and report writers to ensure appropriate and consistent use of warehouse data.
  • Participate in crossfunctional planning and prioritization discussions related to data, reporting, and analytics initiatives.

Leadership & Mentorship

  • Act as a technical mentor and subject matter expert for Data Warehouse and Business Intelligence staff.
  • Review and provide feedback on data models, queries, and reporting solutions to ensure adherence to standards and best practices.
  • Contribute to the development of the Health Center’s data and analytics roadmap.
  • Stay current with healthcare data, analytics, and warehouse trends and recommend practical improvements aligned with GLFHC needs.

Qualifications: 

  • Five (5)+ years’ experience in data architecture, data warehousing, or advanced analytics roles, preferably in healthcare or a similarly regulated environment.
  • Demonstrated experience supporting enterprise reporting and analytics platforms.
  • Strong knowledge of relational databases and data warehouse technologies (e.g., SQL Server and related platforms).
  • Advanced understanding of data modeling concepts and reporting structures.
  • Experience working with healthcare data and EMR/PM source systems.
  • Proficiency with SQL and familiarity with reporting and analytics tools such as Power BI.
  • Strong analytical, documentation, and communication skills.
  • Experience working in an FQHC or community health center environment preferred 
  • Familiarity with UDS reporting, clinical quality measures, and population health analytics preferred.
  • Experience with cloudbased data platforms and modern analytics architectures preferred.
Education
  • Bachelor’s degree or equivalent experience in a health care setting preferred.

GLFHC offers a great working environment, comprehensive benefit package, growth opportunities and tuition reimbursement.