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# Slalom Flex (Project Based)- Data Vault Data Engineer

- **Company:** Slalom, LLC
- **Location:** Detroit, MI, United States (Remote available)
- **Experience:** Expert
- **Salary:** $166,400.0 - $208,000.0
- **Contract:** Permanent contract
- **Skills:** Cloud Computing, Cloud Database, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Transformation, Data Vault Modeling, Cloud Services, Software Deployment, SQL Databases, Data Ingestion, Sql Optimization, Change Data Capture, Qlikview, Data Pipelines, Databricks
- **Published:** October 14, 2026
- **Apply:** https://www.adzuna.com/details/5923562294

## About the Role

* Strong hands-on experience with Databricks.
 * Strong hands-on experience with dbt Cloud.
 * Data Vault experience
 * Advanced SQL skills and experience developing production-grade data pipelines.
 * Experience with data transformation, data modeling, and ETL/ELT processes.
 * Ability to assess existing workloads, troubleshoot delivery issues, and implement practical solutions.
 * Experience working in consulting, client-facing, or complex delivery environments.
 * Strong communication, collaboration, adaptability, and problem-solving skills.
 * Ability to work remotely during Mountain Time business hours.
Preferred Qualifications

 * Experience with Qlik Replicate or similar data ingestion tools.
 * Experience implementing Change Data Capture (CDC) solutions.
 * Experience contributing to greenfield data platform builds or cloud data modernization initiatives.
 * Familiarity with data quality, testing, monitoring, and deployment best practices.
Key Skills
Databricks, dbt Cloud, SQL, data pipelines, ETL/ELT, data modeling, cloud data platforms, Qlik Replicate, CDC, consulting, and stakeholder communication.

## Description

We are seeking Data Engineers and Senior Data Engineers to support the development of a greenfield data platform. This role will assess current data engineering workloads, resolve delivery challenges, and move priority solutions into production.
The ideal candidate has strong hands-on experience with Databricks and dbt Cloud, can build reliable and scalable data pipelines, and is comfortable operating in a fast-paced, client-facing environment.
What You'll do

 * Assess existing data engineering workloads and identify technical or delivery issues.
 * Design, build, test, deploy, and support data pipelines using Databricks and dbt Cloud.
 * Remediate pipeline, workload, and production-readiness challenges.
 * Move priority data workloads into production with a focus on reliability, scalability, and maintainability.
 * Contribute to data architecture, data modeling, testing, and deployment decisions.
 * Partner with solution leadership, senior stakeholders, and other engineers to establish sustainable engineering and delivery practices.
 * Communicate technical risks, recommendations, and progress clearly to technical and non-technical stakeholders.
 * Work collaboratively as part of a cohesive, outcomes-focused delivery team.
What You'll Bring

 * Professional experience designing and delivering modern data engineering solutions.