1

Data Modeling Jobs in Massachusetts (NOW HIRING)

Data Engineer

$117K - $140K/yr

Implement the data models and data structures needed for each use case as defined by the Data Architect, in the most convenient format to be used by the Data Scientist * Own the structural elements ...

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Implement the data models and data structures needed for each use case as defined by the Data Architect, in the most convenient format to be used by the Data Scientist * Own the structural elements ...

Own the Modeling Surface: Lead product strategy for data modeling and ontologies, and for the modeling expression language (SML, MDX, DAX, Pandas, and others) that data engineers and modelers use to ...

Data Architect

Boston, MA · On-site

$105K - $143K/yr

Define standards for data modeling, data quality, naming conventions, metadata, lineage, and documentation. * Partner with business stakeholders to translate requirements into scalable data ...

Data Architect

Boston, MA · On-site

$105K - $143K/yr

Define standards for data modeling, data quality, naming conventions, metadata, lineage, and documentation. * Partner with business stakeholders to translate requirements into scalable 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 ...

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 ...

Data Architect

Plymouth, MA · On-site

$69.25 - $89.25/hr

This role is based in Plymouth with a hybrid model. Responsibilities: Enterprise Data Architecture * Design and implement modern, enterprise-wide data architecture frameworks and standards * Define ...

Data Architect

Plymouth, MA · Hybrid

$69.25 - $89.25/hr

This role is based in Plymouth with a hybrid model. Responsibilities: Enterprise Data Architecture * Design and implement modern, enterprise-wide data architecture frameworks and standards * Define ...

Data Architect

Plymouth, MA · Hybrid

$69.25 - $89.25/hr

This role is based in Plymouth with a hybrid model. Responsibilities: Enterprise Data Architecture * Design and implement modern, enterprise-wide data architecture frameworks and standards * Define ...

Establishes enterprise data standards, models, governance structures, and integration patterns, ensuring that data is trustworthy, discoverable, interoperable, secure, and prepared for advanced use ...

Data Architect

Boston, MA · On-site

$69.25 - $89/hr

Partner with senior business and technology stakeholders to define operating models, governance ... Develop data architecture strategies focused on data modeling, data governance, data quality ...

Senior Data Architect

Boston, MA · On-site

$130K - $189K/yr

Establishes enterprise data standards, models, governance structures, and integration patterns, ensuring that data is trustworthy, discoverable, interoperable, secure, and prepared for advanced use ...

Azure Data Engineer

Wilmington, MA · On-site

$125K - $150K/yr

Develop and debug Python scripts for automation, ingestion, and data quality checks. * Assist in building Fabric dataflows, pipelines, and lakehouse tables aligned with enterprise data-modeling ...

Senior Data Architect

Methuen, MA

$70.25 - $94/hr

Develop and enforce standards for data modeling, naming conventions, and architectural best practices to promote consistency and long‑term maintainability. * Evaluate existing data structures and ...

Showing results 21-40

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.

$117K - $140K/yr

Full-time

Re-posted 15 days ago


Job description

    • Azurity Pharmaceuticals, Inc. is a fast-growing pharmaceutical company focusing on the needs of patients requiring customized, user-friendly drug formulations, especially children and the elderly. Azurity's products have benefited millions of patients whose needs are not served by other commercially available therapies. For more information, visitwww.azurity.com.

      Azurity's success is attributable to our incredibly talented, dedicated team that focuses on benefiting the lives of patients by bringing the best science and commitment to quality into everything that we do..
  • Mission:
    • Implement the data models and data structures needed for each use case as defined by the Data Architect, in the most convenient format to be used by the Data Scientist
    • Own the structural elements of data, e.g., data storage, data piping, interfacing with analytics platforms
    • Participate in data requirements, modelling and testing
  • Tasks & responsibilities:
    • Provide technical support related to data structures, data models and meta data management to relevant stakeholders
    • Creates data models, providing the right format and structure for the use case solutions
    • Participate in early data modeling and testing for use case development, provide input on how to improve proposed solutions and implement necessary changes
    • Extract relevant data to solve analytical problems; ensure development teams have the required data
    • Interact with the business ([function]) to understand all data requirements to develop business insights and translates them into data structures and data models, in close collaboration with Data Architect
    • Work closely with IT/IM teams on internal data acquisition (e.g., CRM, ERP) and with Data Architect for external data acquisition
  • Knowledge & experience:
    • 5+ years' experience with advanced data management systems (e.g., PostgreSQL, etc.)
    • Deep expertise in data modeling and structuring
    • Experience in high volume data environments
    • Ability to quickly learn new technologies
    • Developing and maintaining formal documentation that describes data and data structures including data modelling
    • Strong attention to detail and an ability to think critically and conceptually
    • Team oriented and flexible with proven track record in collaborating with multiple stakeholders
    • Strong verbal and written