Data Engineer - Data Vault Specialist

Impact Makers

Richmond (VA)

Hybrid

USD 80,000 - 110,000

Full time

14 days+

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Benefits offered by this job

Healthcare plans

401(k) with matching

Generous PTO

Flexible work environment

Company sponsored events

Job summary

A leading consulting firm is seeking a Data Engineer - Data Vault Specialist to design and maintain scalable data models. This hybrid role in Richmond, VA, focuses on data warehousing and AI initiatives, offering a supportive work environment with strong employee benefits.

Qualifications

3–5 years of hands-on experience in data warehousing and data modeling.
Strong proficiency in SQL and experience with Data Vault 2.0 methodology.

Responsibilities

Design, build, and optimize Data Vault models and data pipelines.
Collaborate with BI, Data Science, and business teams for AI-readiness.

Skills

Data Warehousing

SQL

Data Vault methodology

AI-readiness

Data modeling

Education

Certification in Data Engineering

Tools

VaultSpeed

WhereScape

dbt Vault

Snowflake

BigQuery

Redshift

Job description

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Executive Information Technology Recruiter and Consultant

Hybrid position with home office in Richmond, VA

Impact Makers is a mission-driven management and technology consulting company that delivers exceptional value to make an impact for our clients and the world. Our experienced teams help organizations manage transformation in IT, data, cloud, and security with a focus on their customers and their people. We utilize our innovative business model to transform the business value of our work into social value for the community. We are committed to gifting 100% of our net profits to the community over the life of the company and our annual community contributions rival companies 100x our size.

Summary and Responsibilities:

We are seeking a skilled Data Engineer with strong experience in Data Warehousing and a deep understanding of Data Vault methodology. In this role, you will play a key part in designing and maintaining scalable, auditable, and future-proof data models that support our growing analytical and AI initiatives.

Skills & Qualifications:

Key Responsibilities

Design, build, and optimize Data Vault models and data pipelines
Translate business requirements into robust, extensible data warehouse solutions
Collaborate with BI, Data Science, and business teams to ensure AI-readiness of data infrastructure
Implement and maintain ETL/ELT processes leveraging Data Vault automation tools (e.g., VaultSpeed)
Ensure data integrity, lineage, and auditability through strong modeling and documentation practices
Optimize performance and reliability of SQL queries and stored procedures
Qualifications: 3–5 years of hands-on experience in data warehousing and data modeling
Strong proficiency in SQL (query optimization, analytical functions, joins, etc.)
Experience with Data Vault 2.0 methodology
Certification is highly preferred, or demonstrable equivalent knowledge
Hands-on experience with Data Vault automation tools (e.g., VaultSpeed, WhereScape, dbt Vault – a plus)
Understanding of AI/ML workflows and how to support them with data engineering
Familiarity with modern data platforms (e.g., Snowflake, BigQuery, Redshift) and orchestration tools

Preferred Skills:

Exposure to cloud data architectures (AWS, Azure, or GCP)
Experience supporting data science teams or building AI-ready datasets
Familiarity with CI/CD in data engineering contexts
Excellent communication and documentation skills

Benefits of working at Impact Makers

As a values-based company, taking care of our employees is of the utmost importance and our employee benefits package reflects that. We offer healthcare plans with generous contributions to premiums, 401(k) with matching, and generous PTO. Impact Makers embraces the pursuit of balance between work, family, and personal interests, with a flexible, dog-friendly work environment in Scott’s Addition. We like to have fun at work, collaborating through company sponsored events and pro bono opportunities. Our team members work with Impact Makers, not for Impact Makers.

Senioritiy level