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# Senior Data Engineer

- **Company:** LaSalle Intelligent Solutions
- **Location:** Arlington, TX, United States
- **Experience:** Expert
- **Salary:** $155,000 - $160,000
- **Contract:** Permanent contract
- **Skills:** Adaptable Database Systems, Data Analysis, Architectural Patterns, Automation of Tests, Business Software, Code Review, Information Systems, Continuous Integration, Data Architecture, Data Governance, Machine Learning, Software Deployment, Data Processing, Cloud Platform System, Build Management, Information Technology, Software Version Control, Data Pipelines, Api Management
- **Published:** November 14, 2026
- **Apply:** https://www.nettemps.com/us/en/W763AF703FD39D1267F.ntap

## About the Role

* Bachelor's degree in Computer Science, Information Systems, Mathematics, or a related field, or equivalent education and professional experience
 * 5-8 years of professional data-engineering experience
 * Experience designing data architecture, pipelines, and dimensional or enterprise data models
 * Demonstrated ability to lead complex data projects from initial design through production deployment
 * Experience coordinating technical work across engineers, stakeholders, and system owners
 * Strong understanding of data quality, testing, monitoring, and production support
 * Experience with version control, CI/CD, and modern software-engineering practices
 * Ability to mentor junior engineers while continuing to deliver hands-on technical work

Preferred Qualifications

 * Master's degree in a relevant field
 * Experience with cloud-based data platforms and related architecture patterns
 * Understanding of cloud pricing, performance considerations, and platform trade-offs
 * Familiarity with data governance, privacy, security, and sensitive-data handling
 * Experience developing reusable data products in a large or complex environment

## Description

We are seeking an experienced Senior Data Engineer to design and build scalable data solutions that support analytics, reporting, machine learning, and other business applications. This role will develop reliable data pipelines, reusable data products, automated quality controls, and consistent engineering practices.

The ideal candidate is a hands-on engineer who can lead complex technical initiatives, solve challenging data problems, and help strengthen engineering standards across the organization.
Key Responsibilities

 * Design and build end-to-end pipelines that ingest, transform, and deliver data from multiple internal and external sources
 * Develop scalable data models that support reporting, analytics, and advanced data applications
 * Establish data-modeling conventions, technical standards, and documentation practices
 * Lead complex data initiatives that span multiple systems and business functions
 * Identify and resolve data-quality and pipeline-reliability issues
 * Implement automated testing, validation, monitoring, and alerting
 * Promote consistent coding, version-control, testing, and CI/CD practices
 * Lead technical-design reviews and evaluate solutions based on performance, cost, scalability, and maintainability
 * Partner with analytics, business intelligence, data science, and technology teams to understand downstream data requirements
 * Support API integrations, data contracts, and source-system changes
 * Conduct code reviews and provide technical guidance to less-experienced engineers
 * Evaluate emerging data technologies and recommend solutions based on business and technical needs
 * Maintain professional and ethical business practices