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# Slalom Flex (Project-Based) Sr. Data Engineer/ Architect

- **Company:** Slalom, LLC
- **Location:** Houston, TX, United States
- **Experience:** Expert
- **Salary:** $124,800.0 - $187,200.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Cloud Engineering, Continuous Integration, Data Integration, Extract Transform Load (ETL), Data Warehousing, DevOps, Dimensional Modeling, Distributed Computing Environment, Python (Programming Language), Standard Sql, Workflow Management Systems, Cloud Platform System, Apache Spark, Git, Software Version Control, Data Pipelines, Programming Languages
- **Published:** August 29, 2026
- **Apply:** https://www.jofdav.com/jobs/59441206-slalom-flex-project-based-sr-data-engineer-architect

## About the Role

* Strong SQL and data modeling skills.
 * Proficiency in Python or a similar programming language.
 * Experience building and supporting ETL/ELT pipelines.
 * Hands-on experience with Informatica (PowerCenter, IICS, or similar).
 * Experience with cloud-based data platforms.
 * Familiarity with Airflow or comparable orchestration tools.
 * Experience with Git and CI/CD practices.
 * Strong troubleshooting and production support skills.
 * Excellent communication and collaboration abilities.
 * Ability to participate in an on-call rotation.

Preferred Qualifications

 * Experience with Spark or other distributed processing frameworks.
 * Knowledge of data warehousing and dimensional modeling.
 * Experience with DevOps and cloud-native architectures.
 * Familiarity with AI-assisted development tools.

## Description

We're seeking a hands-on Data Engineer to support and modernize enterprise data pipelines. This role combines pipeline development, production support, and AI-assisted engineering within a modern cloud environment. You'll own the design, development, troubleshooting, and enhancement of critical data workflows while leveraging AI tools to improve efficiency and delivery.

What You'll Do

 * Build, maintain, and optimize ETL/ELT pipelines.
 * Develop and support Informatica-based data integration workflows.
 * Design scalable data solutions and data models.
 * Troubleshoot production issues and ensure pipeline reliability.
 * Use AI-enabled tools to accelerate development, testing, and support.
 * Follow CI/CD, version control, and engineering best practices.
 * Participate in a light on-call rotation for Sev 2+ pipeline incidents (approximately once every 5-6 weeks).


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