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# MDM Data Engineer

- **Company:** Gravity Hair Salon, LLC
- **Location:** Charlotte, NC, United States (Remote available)
- **Salary:** $125,000.0 - $150,000.0
- **Contract:** Temporary to permanent
- **Skills:** Customer Data Management, Data Architecture, Data Deduplication, Information Engineering, Extract Transform Load (ETL), DevOps, Python (Programming Language), Standard Sql, SQL Databases, Sql Optimization, Data Management, Data Pipelines
- **Published:** July 6, 2026
- **Apply:** https://www.gravityitresources.com/job/9379

## About the Role

* Strong Python development experience (major Python shop)
 * Advanced SQL skills
 * Experience designing and building scalable ETL/data pipelines
 * Strong understanding of:
 + Data architecture
 + Data quality
 + Pipeline design
 * Ability to work collaboratively across technical teams

Nice-to-Haves

 * Previous technical lead or team lead experience
 * Experience in medium-to-large enterprise environments
 * Client/customer/master data experience
 * CRM-related data experience
 * Experience with:
 + Customer data
 + Sales data
 + Deduplication of people/client records

Desired Personality
cultural fit is very important.
Ideal candidates should:

 * Be vocal and engaged
 * Ask questions
 * Be naturally curious
 * Share opinions confidently
 * Communicate well with technical teammates
 * Not be passive or overly quiet

Candidate Evaluation Focus
Managers wants candidates who can clearly demonstrate:

 * Real-world pipeline development experience
 * Ability to explain architecture decisions
 * Depth of technical understanding
 * Practical experience rather than buzzwords
 * Strong communication skills

Key Takeaways

 * Building scalable data pipelines is the single most important technical requirement.
 * Python and SQL expertise are critical.
 * Enterprise-scale data engineering experience is preferred.
 * Client/master data experience is a strong differentiator.
 * Communication and curiosity are major hiring factors.
 * Suppliers should provide narrative-based video responses instead of checkbox technical screenings.
 * Fast feedback cycle (48 hours) is a priority to keep candidates engaged.

## Description

The resource will be embedded within the Client Pod and work closely with:

 * 2 Data Engineers (including this hire)
 * 1 Business Analyst
 * 1 Product Manager
 * Shared Services:
 + DBA
 + DevOps Engineer
 + UI resources

Reports through the MDM Technology organization

Day-to-Day Responsibilities

 * Build and maintain scalable data pipelines for a custom MDM platform.
 * Work closely with product teams and shared services.
 * Develop within a Python and SQL-based data environment.
 * Collaborate with developers across multiple teams.
 * Support data quality and pipeline reliability.
 * Participate in technical discussions and architecture decisions (not expected to own strategy).


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