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Data Modeler Jobs in Tempe, AZ (NOW HIRING)

Mechanical BIM Modeler

Phoenix, AZ · On-site

$70K - $90K/yr

Mechanical BIM Modeler - Piping & HVAC Location: Phoenix, AZ Salary: $70,000-$90,000 per year ... Commercial, industrial, healthcare, semiconductor, data center, or large-scale building projects.

BIM Modeler (Electrical)

Tempe, AZ · On-site

$60K - $80K/yr

Experience with commercial, industrial, or data center projects. * Knowledge of BIM 360/Autodesk Construction Cloud. * Exposure to clash detection and model coordination. Benefits * Competitive ...

BIM Modeler (Electrical)

Tempe, AZ · On-site

$60K - $80K/yr

Experience with commercial, industrial, or data center projects. * Knowledge of BIM 360/Autodesk Construction Cloud. * Exposure to clash detection and model coordination. Benefits * Competitive ...

BIM Modeler (Electrical)

Tempe, AZ · On-site

$60K - $80K/yr

Experience with commercial, industrial, or data center projects. * Knowledge of BIM 360/Autodesk Construction Cloud. * Exposure to clash detection and model coordination. Benefits * Competitive ...

Data modeling: Translate business needs into logical data models and intuitive, clearly labeled report layouts. * DAX and performance: Write and optimize DAX measures that power the KPIs the business ...

Fabric Data Analyst

Scottsdale, AZ · On-site

$70 - $110/hr

Data modeling: Translate business needs into logical data models and intuitive, clearly labeled report layouts. * DAX and performance: Write and optimize DAX measures that power the KPIs the business ...

New

Data Architect(33397)

Phoenix, AZ · On-site

$63.25 - $81.50/hr

Responsibilities will also include metadata management, business semantics, data modeling, and metadata workflow management. Creation of metadata registry and allow domain-specific stakeholders to ...

BIM Modeler (Electrical)

Tempe, AZ · On-site

$60K - $80K/yr

Experience with commercial, industrial, or data center projects. * Knowledge of BIM 360/Autodesk Construction Cloud. * Exposure to clash detection and model coordination. Benefits * Competitive ...

Configure and setup project site(s) to host BIM data adhering to EIG's current best practices. * Create and/or coordinate the development of detailed fabrication models for planning, design ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Design scalable solutions covering data modeling, availability, resiliency, backup/recovery, replication, and disaster recovery * Optimize database performance through query tuning, indexing ...

Strong understanding of statistical analysis and data modeling. * Excellent problem-solving skills and attention to detail. * Ability to communicate complex data insights to non-technical ...

Senior Data Architect

Phoenix, AZ · On-site

$66.75 - $89.25/hr

OLTP Modeling * Third Normal Form (3NF) * Operational application schemas * Transaction processing systems * Customer, account, loan, and transaction data structures * Source system integration ...

Senior Data Architect

Phoenix, AZ · On-site

$66.75 - $89.25/hr

OLTP Modeling * Third Normal Form (3NF) * Operational application schemas * Transaction processing systems * Customer, account, loan, and transaction data structures * Source system integration ...

Data modeling: Translate business needs into logical data models and intuitive, clearly labeled report layouts. * DAX and performance: Write and optimize DAX measures that power the KPIs the business ...

Showing results 21-40

Data Modeler information

See Tempe, AZ salary details

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$57

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How much do data modeler jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for data modeler in Tempe, AZ is $57.14, according to ZipRecruiter salary data. Most workers in this role earn between $51.25 and $66.44 per hour, depending on experience, location, and employer.

What is a data modeler?

Data Modelers are professionals who design, create, and manage data models that define the structure, organization, and relationships of data within databases or information systems. They work closely with business analysts, database administrators, and developers to ensure that data is organized efficiently and can be accessed and used effectively. Data Modelers use specialized tools and techniques to translate business requirements into conceptual, logical, and physical data models, supporting data consistency, integrity, and security across an organization's systems.

What does a data modeler do?

As a data modeler, your responsibilities are to break down complex computer system data into a logical process that makes it easier to understand for data analysis and statistical purposes. Your duties as a data modeler include reducing data redundancy, checking for data errors, conceptualizing and designing efficient data models, overseeing data architecture growth, and fine-tuning data performance. These positions are usually independent, but you may sometimes need to work with other team members to address potential issues related to data. Data modelers need self-motivation, critical thinking, and problem-solving skills, and you should be quick to adapt.

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

To thrive as a Data Modeler, you need a strong understanding of database design, data modeling concepts (such as ER diagrams and normalization), and proficiency in SQL, often supported by a degree in computer science or a related field. Experience with data modeling tools like ERwin, IBM InfoSphere Data Architect, or Microsoft Visio, as well as knowledge of database management systems (DBMS), is typically required. Strong analytical thinking, attention to detail, and effective communication skills help in translating business requirements into technical data structures. These skills and qualities are essential for building scalable, efficient, and accurate data systems that meet organizational needs.

What are some typical challenges data modelers face when working on large-scale projects?

Data Modelers often encounter challenges such as integrating data from multiple, disparate sources and ensuring consistency across large and complex datasets. Aligning the data model with evolving business requirements while maintaining performance and scalability can also be demanding. Additionally, effective communication with stakeholders—like business analysts, database administrators, and software developers—is crucial to ensure the data model meets both technical and business needs.

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 specialized skills in database design and data warehousing can earn higher salaries, often exceeding $130,000 annually.

What are the most commonly searched types of Data Modeler jobs in Tempe, AZ?

The most popular types of Data Modeler jobs in Tempe, AZ are:

What are popular job titles related to Data Modeler jobs in Tempe, AZ?

For Data Modeler jobs in Tempe, AZ, the most frequently searched job titles are:

What job categories do people searching Data Modeler jobs in Tempe, AZ look for?

The top searched job categories for Data Modeler jobs in Tempe, AZ are:

Infographic showing various Data Modeler job openings in Tempe, AZ as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $118,845 per year, or $57.1 per hour.

Senior Data Consultant - Lending & Credit Data

Sogeti

Phoenix, AZ • On-site

$85K - $107K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Details
About the Job
The Senior Data Consultant - Lending & Credit Data will lead enterprise data initiatives supporting Lending, Credit, and Risk organizations. This role requires a unique combination of deep-lending domain expertise and hands-on Databricks experience to bridge business objectives with enterprise data delivery.
The successful candidate will serve as a strategic liaison between Lending and Credit business stakeholders, Enterprise Data Modeling teams, and Data Engineering organizations to ensure business requirements are translated into scalable, governed, and high-quality data solutions.
Unlike a traditional project management role, this position requires the ability to work directly with data assets and Databricks environments to support requirements validation, data analysis, issue resolution, and successful delivery outcomes. The ideal candidate will combine strong business acumen within lending and credit with the technical credibility needed to collaborate effectively across business and technology teams.
What You Will Do
  • Act as the primary liaison between Lending and Credit business stakeholders, Enterprise Data Modeling teams, and Data Engineering organizations.
  • Translate business requirements into scalable data solutions supporting lending, credit, and risk initiatives.
  • Partner with business leaders, data modelers, architects, and engineers to ensure alignment on data definitions, models, and business objectives.
  • Utilize Databricks to analyze and validate data, investigate issues, and support delivery of enterprise data initiatives.
  • Drive data governance, data quality, and consistency across lending and credit data domains.
  • Review conceptual, logical, and physical data models to ensure alignment with business requirements.
  • Support enterprise data strategy initiatives and identify opportunities for process improvement and operational efficiency.
  • Communicate project status, risks, metrics, and business insights through executive reporting and Power BI dashboards.

What You Will Bring
  • Deep expertise within Banking and Financial Services, with a strong focus on Commercial Lending, Credit Risk, Credit Modeling, and Risk Exposure Management.
  • Demonstrated experience working with lending and credit data, business processes, and regulatory reporting requirements.
  • Hands-on Databricks experience, including working directly with data, validating data assets, performing analysis, and collaborating with Data Engineering teams.
  • Strong understanding of enterprise data modeling concepts, data governance, metadata management, and data quality best practices.
  • Experience serving as a liaison between business stakeholders and technical delivery teams.
  • Ability to translate complex lending and credit business requirements into enterprise data solutions.
  • Strong communication, stakeholder management, consulting, and problem-solving skills.
  • Experience using Power BI and enterprise data modeling tools is highly preferred.

Education:
  • Bachelor's degree in Business, Finance, Economics, Information Systems, Computer Science, Data Analytics, or a related field required.
  • Master's degree (MBA, Information Systems, Data Analytics, Finance, or related discipline) a plus.
  • Relevant industry certifications in Data Management, Data Governance, Databricks, Banking, Lending, or Project Management are a plus.

Life at Sogeti - Sogeti supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
  • Flexible work options
  • 401(k) with 150% match up to 6%
  • Employee Share Ownership Plan
  • Medical, Prescription, Dental & Vision Insurance
  • Life Insurance
  • 100% Company-Paid Mobile Phone Plan
  • 3 Weeks PTO + 7 Paid Holidays
  • Paid Parental Leave
  • Adoption, Surrogacy & Cryopreservation Assistance
  • Subsidized Back-up Child/Elder Care & Tutoring
  • Career Planning & Coaching
  • $5,250 Tuition Reimbursement & 20,000+ Online Courses
  • Employee Resource Groups
  • Counseling & Support for Physical, Financial, Emotional & Spiritual Well-being
  • Disaster Relief Programs

About Sogeti
Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation.
Become Your Best |
Disclaimer
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant
Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.
Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $130,000 - $165,000.
This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.