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Remote Data Modeler Jobs in Massachusetts (NOW HIRING)

Beacon Biosignals

Principal Data Engineer

Boston, MA · On-site +1

$190K - $210K/yr

  • PTO

It defines our foundational data model and serves as the centralized repository and API for brain ... This role is fully remote working anywhere in the US. What success looks like * You partner with ...

Interra Health

Senior Data Engineer

Boston, MA · Remote

$151K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The ideal candidate will possess deep expertise in data modeling, database design, cloud data ... Fully remote role within the United States * Periodic travel (approximately 5%) for team meetings ...

Resource Innovations

Energy Engineer

Needham, MA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Responsibilities may include remote data analysis, desktop engineering review, savings calculations ... modeling software. * Evaluate energy impacts for measures related to HVAC systems and controls ...

Initio Capital

Data Governance Analyst

Boston, MA · Remote

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Research companies, markets, business models, and investment themes. * Build target lists, market ...

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Remote Data Modeler information

What skills and qualifications are needed to thrive as a remote data modeler?

A Remote Data Modeler should possess strong skills in data modeling concepts, database design, and a background in computer science or a related field. Expertise in tools such as ER/Studio, SQL, and familiarity with cloud data platforms (e.g., AWS, Azure) and relevant certifications like CDMP are highly valued. Exceptional analytical thinking, communication, and self-management abilities set top performers apart, especially when collaborating with distributed teams. These skills enable the creation of accurate, scalable data models and ensure effective remote collaboration on complex data projects.

What does a remote data modeler do?

A typical day for a Remote Data Modeler involves collaborating with stakeholders to gather data requirements, designing and updating data models, and documenting structures for existing or new systems. You’ll spend significant time working with modeling tools, writing or reviewing database scripts, and participating in virtual meetings to ensure alignment with development teams and business analysts. Regular tasks include data mapping, troubleshooting modeling issues, and updating data dictionaries. The role requires balancing focus time for deep analysis with clear virtual communication to ensure projects progress smoothly.

What is a remote data modeler?

A Remote Data Modeler is responsible for designing, implementing, and optimizing data models that support business intelligence, analytics, and database management. They work with large datasets, ensuring data is structured efficiently for performance and scalability. This role often involves collaboration with data engineers, analysts, and business stakeholders to define data requirements. Since it's a remote position, strong communication and self-management skills are crucial for success.

What are the most commonly searched types of Data Modeler jobs in Massachusetts?

The most popular types of Data Modeler jobs in Massachusetts are:

What are popular job titles related to Remote Data Modeler jobs in Massachusetts?

For Remote Data Modeler jobs in Massachusetts, the most frequently searched job titles are:

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

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

What cities in Massachusetts are hiring for Remote Data Modeler jobs?

Cities in Massachusetts with the most Remote Data Modeler job openings:

Remote Data Modeler jobs near you
Infographic showing various Remote Data Modeler job openings in Massachusetts as of August 2026, with employment types broken down into 45% Full Time, and 55% Contract. Highlights an 100% Remote job distribution.

Sr Data Architect - Patient Services (Life Sciences)

Tiger Analytics Inc.

Boston, MA • Remote

$73 - $97.75/hr

Full-time

Re-posted 20 days ago

Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are seeking a Data Architect - Patient Services to join our Life Sciences practice. In this role, you will be responsible for ensuring the integrity and reliability of Patient Services (PS) data and be the primary bridge between external Patient Services Hub vendors and internal enterprise systems. This is a high-impact role combining technical data modeling with operational stewardship, requiring you to drive data quality, investigate complex lineage issues, and ensure that patient data is "analytics-ready" for strategic decision-making.

Responsibilities:

  • Architecture & Modeling: Lead source-to-target mapping from external Hub vendors to internal systems (EDB). Define logical/conceptual data models and act as the primary SME for Patient Services data structures.
  • Data Stewardship: Partner with MDM teams to ensure accurate HCO mastering and hierarchy aggregation. Identify data gaps and design solutions to roll up Patient Access data across therapeutic areas.
  • Quality & Integrity: Proactively resolve data issues and define validation rules. Collaborate with DD&T to implement data quality checks within the pipeline ecosystem.
  • Vendor Accountability: Direct engagement with PS Hub vendors and aggregators to investigate root causes, enforce Data SLAs, and validate data fixes before and after transmission.
  • Analytics Enablement: Partner with Analytics & Insights (A&I) to build "Analytics Ready Data" (ARD) layers, ensuring data is reliable, actionable, and compliant with audit standards.

Requirements

  • 15 + yrs of experience in data architecture, data management, or data engineering roles.
  • Strong experience with healthcare, patient services, or life sciences data (mandatory).
  • Demonstrated expertise in data quality management, validation, and issue resolution.
  • Experience working with external vendors and complex data pipelines.
  • Strong SQL skills and experience querying enterprise data platforms.
  • Proven ability to translate business needs into data requirements and quality rules.
  • Experience supporting Patient Services / Hub data in a pharmaceutical or biopharma environment.
  • Familiarity with enterprise data warehouses (e.g., Snowflake, Oracle, Teradata) and data lakes.
  • Knowledge of data governance frameworks and master/reference data concepts.
  • Ability to operate in a matrixed, cross functional environment.

Key Competencies

  • Data ownership mindset and attention to detail
  • Strong analytical and problem-solving skills
  • Clear communicator with technical and nontechnical partners
  • Comfortable driving accountability across vendors and stakeholders
  • Able to balance operational rigor with strategic impact

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.


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