1

Data Model Jobs in Massachusetts (NOW HIRING)

Manage an enterprise data model in collaboration with clinicians, data scientists, engineers, product managers, and operators to integrate clinical data from source systems in multiple complex ...

Data Modeler

Brighton, MA · On-site

$59.75 - $77.50/hr

Data Modeler with Insurance Domain Brighton, MA (4 days a week onsite) Long Term Contract * Be responsible for the development of the conceptual, logical, and physical data models, the implementation ...

Data Modeler

Quincy, MA · On-site

$57.50 - $74.75/hr

Create logical and physical data models using best practices to ensure high data quality and reduced redundancy. * Through understanding of data warehouse concepts * Optimize and update logical and ...

Owns the spatial data model (conceptual level down to attribute level) and ensures compliance * Owns the spatial data processes and ensures timely and orderly execution * Spatial data processes ...

Owns the spatial data model (conceptual level down to attribute level) and ensures compliance * Owns the spatial data processes and ensures timely and orderly execution * Spatial data processes ...

Data Architect

Weston, MA · Hybrid

$68.75 - $88.50/hr

Maintains Data Model repository. * Drives conversations with development teams and DBA teams to optimize the schema structure and ingestion processes influencing the write and read performance.

Data Architect

Weston, MA · On-site

$68.75 - $88.50/hr

Maintains Data Model repository. * Drives conversations with development teams and DBA teams to optimize the schema structure and ingestion processes influencing the write and read performance.

Developing data models, both the design and ability to map different data sets to a data model that was designed by the candidate * Understanding how stacking data works (putting two or more data ...

Build and maintain advanced Excel data models using Power Pivot and the Excel Data Model. * Create DAX measures, calculated columns, and KPIs for business reporting. * Use Power Query to automate ...

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)

next page

Showing results 1-20

Data Model information

What is the difference between Data Model vs Data Analyst?

AspectData ModelData Analyst
Primary RoleDesigns and structures data for databases and systemsAnalyzes data to generate insights and reports
Skills & CertificationsDatabase design, data modeling, SQL, certifications like CDMPData analysis, statistics, Excel, SQL, certifications like CAP or Microsoft Data Analyst
Work EnvironmentWorks with database systems, data warehouses, IT teamsWorks with business teams, reports, dashboards, data visualization tools
Industry UsageUsed in database design, data architecture, software developmentUsed in business intelligence, reporting, data-driven decision making

While Data Modelers focus on designing the structure of data systems, Data Analysts interpret data to provide actionable insights. Both roles require strong technical skills, but their primary objectives differ: one builds the foundation, the other analyzes the data.

What do data models do?

Data models are used by data modelers to define how data is structured, stored, and related within a database or information system. They help ensure data consistency, facilitate efficient data retrieval, and support the design of databases using tools like ER diagrams or UML. Data modelers often work with database management systems and require knowledge of data normalization and modeling techniques.
Infographic showing various Data Model job openings in Massachusetts as of August 2026, with employment types broken down into 4% Internship, 79% Full Time, and 17% Part Time. Highlights an 100% In-person job distribution.

$120K - $170K/yr

Full-time

Re-posted 23 days ago


Job description

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

Tempus is executing on the mission to create the world's largest, integrated dataset of multimodal healthcare and clinical data. At Tempus, products are owned and developed by small, autonomous teams composed of developers, designers, data scientists, clinicians, and product managers. You and your team set the goals, build the software, deploy the code, and contribute to a growing software platform that will make a lasting impact in the field of cardiovascular research and treatment.

Tempus builds software as nimble as our teams. Our modern tech stack - Python, dbt and BigQuery on GCP - allows our teams to iterate rapidly and lead our industry in innovation. Our decentralized, microservice architecture and emphasis on automation allow us to deliver advanced solutions with confidence, and at scale.

What You'll Do

  • Manage an enterprise data model in collaboration with clinicians, data scientists, engineers, product managers, and operators to integrate clinical data from source systems in multiple complex domains (clinical records, EHR data, ECG data, radiology, et al.).

  • Author and maintain entity-relationship diagrams, data dictionaries, API specs, and data translation documentation at multiple levels of abstraction (conceptual, logical, physical) and across multiple data store technologies (transactional, analytical).

  • Implement solutions to transform source data to a common data model

  • Collaborate with clinicians and data scientists to implement and validate feature definitions for clinical endpoints aligned with modeling priorities.

  • Implement solutions to proactively monitor data quality with traceability to source systems.

  • Evaluate completeness of source system data models and data by profiling partner data.

  • Advocate and educate engineering team members on data modeling rules, standards, and best practices.

Why we're looking for you:

  • You have domain knowledge in healthcare and informatics data.

  • You have experience and knowledge of different data modeling techniques (e.g. 3NF, dimensional (star schema), and data vault).

  • You have applied exceptional SQL skills in an enterprise data warehouse environment.

  • You have knowledge of ETL/ELT and BI architectures, concepts and frameworks, and experience implementing them.

  • You understand and can clearly articulate the long-term impacts of key decisions between database technologies (relational, MPP, NoSQL) and have experience architecting solutions across multiple technologies.

  • You have experience with data modeling tools like Erwin, Vertabelo or Lucidchart.

Bonus points for:

  • Experience with GCP architecture, particularly with BigQuery

  • Experience working with clinical and cardiovascular (echo, cath, ECG) data

  • Experience with Epic tables

  • Experience with HL7 data

  • Experience writing and debugging Python

  • Experience working with dbt

  • Implementing master, reference, or metadata management solutions

#LI-BL1

CHI: $110,000-$160,000

NYC/Boston: $120,000-$170,000

The expected salary range above is applicable if the role is performed from Illinois and may vary for other locations (California, Colorado, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.