ZipRecruiter

Log In

1

Data Vault Jobs (NOW HIRING)

CPI Security

Senior Data Engineer

Charlotte, NC · On-site

$103K - $140K/yr

Share expertise in data vault modeling, dbt development, and cloud data engineering best practices. Foster a culture of technical excellence and continuous learning within the team. Work ...

CPI Security

Senior Data Engineer

Charlotte, NC

$103K - $140K/yr

Share expertise in data vault modeling, dbt development, and cloud data engineering best practices. Foster a culture of technical excellence and continuous learning within the team. Work ...

CPI Security

Senior Data Engineer

Charlotte, NC

$103K - $140K/yr

Share expertise in data vault modeling, dbt development, and cloud data engineering best practices. Foster a culture of technical excellence and continuous learning within the team. Work ...

Winaxis

Data Architect

Charlotte, NC · On-site

$62.25 - $80/hr

... Vault, ODS, Dimensional) to support strategic initiatives and ensure high-quality, consistent data. - Conduct data analysis and profiling to identify and resolve data quality issues. - Monitor and ...

Siritech Solutions Corp

Data Modeler Engineer

Atlanta, GA

$52.75 - $68.25/hr

Apply dimensional modeling techniques including Kimball methodology and Data Vault 2.0 architecture * Support Snowflake data modeling, clustering, query optimization, and performance tuning ...

NAVA Software Solutions

Data Modeler

Iselin, NJ · On-site

$55.50 - $72/hr

Deep knowledge and experience with Inmon, Kimbal, and Data Vault is a must. Exposure to Azure is a Bonus Responsibilities * The Data Modeler will Responsible for leading the development, validation ...

Siritech Solutions Corp

Data Modeler Engineer

Raleigh, NC

$53.25 - $69/hr

Apply dimensional modeling techniques including Kimball methodology and Data Vault 2.0 architecture * Support Snowflake data modeling, clustering, query optimization, and performance tuning ...

Qualysoft

Fur einen Kunden im offentlichen Sektor suchen wir ab sofort einen erfahrenen SQL / Data Vault Experten (m/w/d) zur Unterstutzung im Bereich Business Intelligence und Datenarchitektur.

XFORIA Inc

Principal Data Architect

Dallas, TX · Hybrid

Data Vault 2.0 * Streaming/Data Integration frameworks * Lead implementation of metadata-driven frameworks and reusable engineering accelerators * Oversee CI/CD, DevOps, Infrastructure-as-Code, and ...

Kemper

Senior Data Engineer

Hartford, CT

$106K - $145K/yr

Design andmaintainenterprise data models, including Data Vault 2.0 (Hubs, Links, Satellites, PIT, Bridge structures) and dimensional models. * Develop andoptimizeSnowflake platform capabilities ...

Kemper

Senior Data Engineer

Boston, MA · On-site

$115K - $156K/yr

Design andmaintainenterprise data models, including Data Vault 2.0 (Hubs, Links, Satellites, PIT, Bridge structures) and dimensional models. * Develop andoptimizeSnowflake platform capabilities ...

next page

Showing results 1-20

People also search for

All JobsData Vault Jobs

Data Vault information

See salary details

$10

$51

$108

How much do data vault jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for data vault in the United States is $51.66, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $62.50 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Vault position, and why are they important?

To excel as a Data Vault specialist, you need a solid understanding of data modeling, database management, and data warehousing concepts, often supported by a degree in computer science or a related field. Familiarity with Data Vault 2.0 methodology, ETL tools (like Informatica or Talend), and cloud platforms such as Azure or AWS is highly valued, along with relevant certifications. Strong analytical thinking, attention to detail, and effective communication skills help set candidates apart in this position. These competencies are essential to ensuring accurate, scalable, and traceable enterprise data solutions that support informed business decision-making.

What are some typical challenges faced by professionals working with Data Vault modeling?

Professionals working with Data Vault modeling often encounter challenges such as integrating data from multiple disparate sources, ensuring data quality and consistency, and optimizing performance for large-scale data warehousing environments. Adapting to changes in source systems and managing evolving business requirements can also require frequent model adjustments and close collaboration with both technical and business stakeholders. However, overcoming these challenges provides valuable opportunities to innovate data architecture and improve enterprise data reliability, positioning professionals for career growth in advanced data engineering and analytics roles.

What is a Data Vault job?

A Data Vault job typically involves working with the Data Vault methodology for data modeling, which is designed for scalable, flexible, and auditable enterprise data warehousing. Professionals in this role focus on designing, implementing, and maintaining Data Vault architectures, ensuring efficient data integration and historical tracking. They often work with ETL processes, data warehousing tools, and various databases to support business intelligence and analytics needs. The role may also require collaboration with data engineers, analysts, and architects to ensure data quality and consistency.

More about Data Vault jobs
What are the most commonly searched types of Data Vault jobs? The most popular types of Data Vault jobs are:
What states have the most Data Vault jobs? States with the most job openings for Data Vault jobs include:
What job categories do people searching Data Vault jobs look for? The top searched job categories for Data Vault jobs are:
Data Vault jobs near you

Data Engineer (Databricks Experience)

Infinitive Inc

Mclean, VA • On-site

$115K - $139K/yr

Full-time

Posted 22 days ago

Job description

*Candidates must be local to the Washington D.C. metro area.
About Infinitive:
Infinitive is a data and AI consultancy that enables its clients to modernize, monetize and operationalize their data to create lasting and substantial value. We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment.
Infinitive has been named "Best Small Firms to Work For" by Consulting Magazine 8 times most recently in 2025. Infinitive has also been named a Washington Post "Top Workplace", Washington Business Journal "Best Places to Work", and Virginia Business "Best Places to Work."
About the Role:
We are seeking a highly skilled Senior Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering, with expertise in Databricks, DevOps tools (Jenkins/Terraform), and data modeling concepts (3NF, Dimensional, Data Vault). As a Senior Data Engineer, you will play a critical role in designing, implementing, and maintaining our client's data infrastructure while ensuring scalability, reliability, and efficiency.
Responsibilities:
  1. Data Engineering: Design, build, and maintain scalable data pipelines and ETL processes using Databricks and other relevant technologies.
  2. DevOps Integration: Implement continuous integration and continuous deployment (CI/CD) pipelines using Jenkins and Terraform to automate deployment, monitoring, and scaling of data infrastructure.
  3. Data Modeling: Develop and implement data models based on business requirements, including 3NF, Dimensional, and Data Vault models. Ensure data models adhere to best practices for efficiency, scalability, and maintainability.
  4. Performance Optimization: Identify and address performance bottlenecks in data pipelines and queries. Optimize data processing and storage to improve overall system performance.
  5. Data Quality Assurance: Implement data quality checks and monitoring processes to ensure data accuracy, completeness, and consistency.
  6. Collaboration: Work closely with cross-functional teams including data scientists, analysts, and software engineers to understand data requirements and deliver high-quality solutions.
  7. Documentation and Best Practices: Document data pipelines, infrastructure configurations, and data models. Define and enforce best practices for data engineering and DevOps processes.
  8. Training and Mentorship: Provide guidance and mentorship to junior team members. Conduct training sessions to promote knowledge sharing and skill development within the team.

Qualifications:
  • Bachelor's degree in Computer Science, Engineering, or related field. Master's degree preferred.
  • Proven experience as a Data Engineer, preferably in a cloud-based environment.
  • Strong proficiency in Databricks for data processing and analytics.
  • Hands-on experience with DevOps tools such as Jenkins and Terraform for infrastructure automation.
  • In-depth knowledge of data modeling concepts including 3NF, Dimensional, and Data Vault.
  • Proficiency in SQL and programming languages such as Python or Scala.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.

Infinitive is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

Apply