Data Modeler Jobs
Data Modeler jobs are open across financial services, healthcare, retail, and technology, with specializations in dimensional modeling, data warehouse design, and enterprise architecture, from entry-level to principal and staff roles. Find a role that fits below and apply directly.
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BeOne continues to grow at a rapid pace with challenging and exciting opportunities for experienced professionals. When considering candidates, we look for scientific and business professionals who are highly motivated, collaborative, and most importantly, share our passionate interest in fighting cancer.
General Description:
The Manager R&D Data Modeler architects and drives the implementation of robust data design standards across our R&D analytics and digital initiatives. This role will own end-to-end model delivery, mentor junior colleagues, and ensure that our data ecosystem is scalable, interoperable, and aligned with strategic objectives.
Essential Functions of the job:
Data Modeling & Architecture- Design and maintain complex conceptual, logical, and physical models for key R&D domains.
- Govern the evolution of common data models and ontologies—ensuring reusability for data products and APIs.
Optimize schemas for performance, minimizing latency for analytics and AI workloads.
- Solution Design & Integration
- Lead source-to-target mapping for critical integrations into the Operational Data Repository.
- Establish and enforce naming conventions, harmonization processes, and metadata standards.
- Partner with R&D Digital, DSDI, and business stakeholders to translate requirements into production-ready solutions.
-
Governance & Best Practices
- Embed FAIR and GxP-compliant governance into every modeling project.
- Define model versioning, documentation templates, and change-management workflows.
- Evaluate and recommend new modeling tools or platforms; oversee migrations.
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Consulting & Enablement
- Facilitate design workshops and lead impact analyses for future-state architectures.
- Mentor junior modelers, deliver training on methodologies, and champion best practices across teams.
- Act as the primary data consultant for mid- to large-scale platform implementations (data warehouse, cloud data lake).
Supervisory Responsibilities:
No
Computer Skills:
- Microsoft Applications (Outlook, Word, Excel, PowerPoint, Project)
Qualifications:
- Bachelor's or master's degree in computer science, Data Science, or related field.
- 6+ years of full-lifecycle data modeling or architecture experience—preferably within Pharma R&D.
- Hands-on expertise with modeling tools and cloud/on-prem environments.
- Proven track record designing performant, normalized schemas and supporting analytics/AI use cases.
Strong leadership, mentoring, and stakeholder-management abilities.
Travel:
Minimal
Education Required:
Bachelor’s degree or equivalent in a health-related field
Global Competencies
When we exhibit our values of Patients First, Driving Excellence, Bold Ingenuity and Collaborative Spirit, through our twelve global competencies below, we help get more affordable medicines to more patients around the world.
- Fosters Teamwork
- Provides and Solicits Honest and Actionable Feedback
- Self-Awareness
- Acts Inclusively
- Demonstrates Initiative
- Entrepreneurial Mindset
- Continuous Learning
- Embraces Change
- Results-Oriented
- Analytical Thinking/Data Analysis
- Financial Excellence
- Communicates with Clarity
BeOne is committed to fair and equitable compensation practices. Actual compensation packages are determined by several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, certifications, relevant education or training, and specific work location. Packages may vary by location due to differences in the cost of labor. The recruiter can share more about the specific salary range for a preferred location during the hiring process. Please note that the listed range reflects the base salary or hourly range only. Non-Commercial roles are eligible to participate in the annual bonus plan, and Commercial roles are eligible to participate in an incentive compensation plan. All Company employees have the opportunity to own shares of BeOne Medicines Ltd. stock because all employees are eligible for discretionary equity awards and to voluntarily participate in the Employee Stock Purchase Plan. The Company has a comprehensive benefits package that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness.
We are proud to be an equal opportunity employer. BeOne does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans’ Readjustment Assistance Act of 1974, Title I of the Americans with Disabilities Act of 1990, and any other applicable federal, state or local laws, applicants who require reasonable accommodation in the job application process may contact accommodationsus@beonemed.com.
Data Modeler Jobs by Experience Level
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Who's Hiring



What Employers Look For
The qualifications that appear most often in data modeler jobs.
- Proficiency in SQL for querying, transforming, and validating data models
- Experience with dimensional modeling techniques such as Kimball star schema or Data Vault
- Hands-on work with data modeling tools like erwin, ER/Studio, or dbt
- Familiarity with cloud data warehouse platforms such as Snowflake, BigQuery, or Redshift
- Ability to collaborate with business analysts to translate requirements into logical and physical models
- Bachelor's degree in computer science, information systems, or a related technical field
Tips for Your Data Modeler Job Search
Tailor your resume to modeling notation
Hiring managers scan for specific notation fluency, so call out whether your experience is in Kimball, Inmon, or Data Vault 2.0. Vague references to 'data modeling' get filtered out before a human reads your resume.
List every modeling tool you have used
Job postings for data modelers almost always require specific tools like erwin, ER/Studio, or dbt. Put these in a dedicated skills section so applicant tracking systems can match your profile to the posting's requirements without guessing.
Apply early to roles that fit
Migrate Mate lists data modeler openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Show schema evolution in your portfolio
Bring two or three examples of schemas you designed, including one that required significant revision after deployment. Interviewers want to see how you handle real-world change requests, not just greenfield design work.
Prepare to whiteboard a star schema live
Many data modeler interviews include a live design exercise where you are handed a business requirement and asked to sketch dimension and fact tables on the spot. Practice drawing clean ERDs under time pressure before your interview.
Negotiate by anchoring to cloud platform expertise
If you have hands-on experience modeling for Snowflake, BigQuery, or Redshift specifically, name the platform during offer discussions. Cloud-platform-specific modeling expertise commands a premium over general relational database experience in most current postings.
Data Modeler Jobs: Frequently Asked Questions
Which companies are hiring the most data modelers?
The companies hiring the most data modelers right now include PingWind, EY, and STERIS, with the largest share of openings in Illinois, New York, and Ohio, based on current listings on Migrate Mate as of November 2026. Financial services, healthcare systems, and large technology companies consistently drive the most sustained hiring volume for this role.
How many data modeler jobs are remote?
About 82% of data modeler openings are fully remote or hybrid as of November 2026, reflecting strong demand for distributed data teams. Roles focused on cloud data warehouse modeling and dbt development tend to be the most remote-friendly, while positions requiring close collaboration with on-site engineering teams are more likely to expect regular in-office presence.
How do you become a data modeler?
Start by building a solid foundation in relational database design and SQL, then study dimensional modeling methods such as Kimball star schemas and Data Vault. Work on personal or open-source projects to produce portfolio schemas you can discuss in interviews. Earning a certification in a modeling tool or a cloud data platform strengthens your application considerably before you apply for your first dedicated role.
Can I get hired as a data modeler without direct experience?
Yes, candidates transition into data modeler roles most successfully by coming from a database administrator, data analyst, or backend engineering background where they already wrote complex SQL and worked with relational schemas. Building a public portfolio of logical and physical models, even from practice datasets, gives hiring managers concrete evidence of your design thinking and closes the experience gap effectively.
What does the data modeler interview process look like?
Most data modeler interview processes include an initial recruiter screen, a technical phone interview covering SQL and schema design fundamentals, and a live or take-home design exercise where you model a business scenario from scratch. Final rounds typically involve a panel with data engineers, architects, or analytics leads who probe your reasoning behind design decisions and your approach to handling schema changes after a model goes into production.
Where can I find and apply to data modeler jobs?
You can find and apply to data modeler jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your skills and experience level, then apply directly to each listing that fits.
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