Key Details
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Compensation: $155,000 – $160,000 with potential Bonus
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Location: Arlington, TX
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Work Model: ONSITE 4 to 5 Days a week
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Benefits: Are eligible to enroll in benefits, including medical, dental, and vision
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Employment Type: Full-Time
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Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis; our client will not sponsor applicants for work visas now or in the future
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
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Design and build end-to-end pipelines that ingest, transform, and deliver data from multiple internal and external sources
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Develop scalable data models that support reporting, analytics, and advanced data applications
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Establish data-modeling conventions, technical standards, and documentation practices
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Lead complex data initiatives that span multiple systems and business functions
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Identify and resolve data-quality and pipeline-reliability issues
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Implement automated testing, validation, monitoring, and alerting
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Promote consistent coding, version-control, testing, and CI/CD practices
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Lead technical-design reviews and evaluate solutions based on performance, cost, scalability, and maintainability
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Partner with analytics, business intelligence, data science, and technology teams to understand downstream data requirements
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Support API integrations, data contracts, and source-system changes
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Conduct code reviews and provide technical guidance to less-experienced engineers
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Evaluate emerging data technologies and recommend solutions based on business and technical needs
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Maintain professional and ethical business practices
Required Qualifications
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Bachelor’s degree in Computer Science, Information Systems, Mathematics, or a related field, or equivalent education and professional experience
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5–8 years of professional data-engineering experience
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Experience designing data architecture, pipelines, and dimensional or enterprise data models
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Demonstrated ability to lead complex data projects from initial design through production deployment
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Experience coordinating technical work across engineers, stakeholders, and system owners
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Strong understanding of data quality, testing, monitoring, and production support
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Experience with version control, CI/CD, and modern software-engineering practices
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Ability to mentor junior engineers while continuing to deliver hands-on technical work
Preferred Qualifications
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Master’s degree in a relevant field
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Experience with cloud-based data platforms and related architecture patterns
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Understanding of cloud pricing, performance considerations, and platform trade-offs
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Familiarity with data governance, privacy, security, and sensitive-data handling
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Experience developing reusable data products in a large or complex environment
Ready to take the next step in your career? Apply today. We’re actively interviewing and excited to meet you.
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LaSalle Network is an Equal Opportunity Employer m/f/d/v.
LaSalle Network is the leading provider of direct hire and temporary staffing services. For over two decades, LaSalle has helped organizations hire faster and connect top talent with opportunities, from entry-level positions to the C-suite. With units specializing in Accounting and Finance, Administrative, Engineering, Marketing, Technology, Supply Chain, Revenue Cycle, Call Center, Human Resources and Executive Search, LaSalle offers staffing and recruiting solutions to companies of all sizes and across all industries.