1

Data Modeling Jobs in Massachusetts (NOW HIRING)

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 ...

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 ...

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 ...

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 · On-site

$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 Aug 8, 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 do data modelers do?

Data modelers design and create data structures and schemas to organize and define how data is stored, accessed, and managed within databases. They analyze business requirements, develop data models using tools like ER diagrams, and ensure data consistency and integrity, often working with database management systems and data governance standards.

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.

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.

How much do data modelers make?

Data modelers typically earn a median annual salary between $70,000 and $110,000, depending on experience, location, and industry. Senior data modelers with advanced skills in database design and data warehousing can earn higher salaries, often exceeding $120,000. Certifications in data management and proficiency with tools like SQL and ER modeling can also influence compensation.

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 is a data modeling job?

A data modeling job involves designing and creating data structures, such as databases and schemas, to organize and store information efficiently. Data modelers use tools like ER diagrams and work with programming languages and database management systems to ensure data integrity and accessibility.
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 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $133,373 per year, or $64.1 per hour.

$96K - $130K/yr

Full-time

Posted 17 days ago


Job description

Position Summary

The Data Architect will help design, build, and evolve our nextgeneration enterprise data platform & data integration pipeline. This role is central to our transformation toward a modern, governed, cloudbased data ecosystem that supports all functions at Coverys (notably underwriting, claims, actuarial, finance, and enterprise analytics etc.)

The Data Architect will help define the architectural blueprint, establish data modeling standards, and guide the development of scalable, automated data pipelines in Snowflake. In addition to design of the architecture, this position will work closely with business and technology teams to ensure data is accurate, trusted, and available for advanced analytics, reporting, and operational decisionmaking.

Essential Duties & Responsibilities

Data Architecture & Modeling

  • Design and maintain enterprise data architecture aligned to business domains (Policy, Party, Claims, Billing, Underwriting, etc.).

  • Ensure data architecture design aligns to enterprise architecture standards & partners closely with Enterprise Architecture.

  • Develop canonical and semantic data models to support analytics, reporting, and operational use cases.

  • Define standards for data modeling, data quality, naming conventions, metadata, lineage, and documentation.

  • Partner with business stakeholders to translate requirements into scalable data structures.

Data Engineering & Pipeline Development

  • Build ELT/ETL pipelines using modern cloud-native tools and frameworks.

  • Lead the migration from legacy batch processes to automated, event-driven, or CDC-based ingestion patterns.

  • Implement data quality rules, validation frameworks, and reconciliation logic.

  • Optimize Snowflake workloads for performance, cost, and reliability.

Cloud Data Platform Leadership

  • Design and oversee medallion-style data layers (bronze/silver/gold) for ingestion, curation, and consumption.

Governance, Standards & Best Practices

  • Work with Data Governance to establish data dictionaries, lineage, classification, data quality and stewardship models.

  • Ensure consistent use of canonical identifiers across systems and domains.

  • Promote data-as-a-product principles and guide teams toward reusable, scalable data assets.

Collaboration & Leadership

  • Partner with business analysts, data scientists, actuaries, and analytics teams to support data needs.

  • Mentor SQL developers and analytics engineers transitioning into modern data engineering roles. Mentor and coach the data engineering team & lead the development of pipeline and architecture platforms.

  • Provide architectural oversight for major data initiatives across the enterprise.

  • Support evolving business needs, as applicable.

Education, Experience, Competencies & Values

  • Bachelor's degree in computer science or relevant field from an accredited college or university, required.

  • 3-5- years of experience in data architecture, data engineering, required.

  • Strong data modeling expertise (conceptual, logical, physical).

  • Hands-on experience designing enterprise data architectures.

  • Advanced ELT/ETL development experience (preferably cloud-native).

  • Deep experience with cloud data warehouses, ideally Snowflake.

  • Proficiency in Python for data engineering and automation.

  • Strong SQL skills and experience with large-scale data processing.

  • Experience with data quality frameworks, metadata management, and lineage.

  • Understanding of modern data patterns (CDC, event-driven ingestion, APIs, streaming, orchestration).

  • Experience in the insurance industry, preferred.

  • Snowflake certification, a plus.

  • Familiarity with tools such as dbt, Airflow, Azure Data Factory, or similar.

  • Knowledge of MDM, canonical modeling, and governance frameworks.

  • Experience with Power BI or other BI tools.

  • Qualified candidates must be eligible to work in the US without sponsorship or restriction.

Base salary range is $96,650 - 130,755. Individual compensation packages are based on a variety of factors that are unique to each candidate including location, skill set, experience, qualifications and education.

If you're a caring and customer focused individual who enjoys working with passionate team members, Coverys is the right company for you!