Senior Data Engineer - 2605597

LaSalle Intelligent Solutions; Arlington (TX); On-site; USD 155,000 - 160,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

Job summary

LaSalle Network seeks an experienced Senior Data Engineer to design and build scalable data solutions that support analytics, reporting, ML, and other business applications.

The role will develop reliable data pipelines, reusable data products, automated quality controls, and consistent engineering standards across the organization. Onsite in Arlington, TX with a full-time schedule.

Qualifications

• Bachelor’s degree or equivalent in a relevant field.
• 5–8 years of professional data‑engineering experience.
• Experience designing data architecture, pipelines, and dimensional/enterprise data models.
• Demonstrated ability to lead complex data projects from design to production deployment.
• Experience coordinating work across engineers, stakeholders, and system owners.
• Strong understanding of data quality, testing, monitoring, and production support.

Responsibilities

• Design and build end-to-end pipelines ingesting, transforming, and delivering data from multiple sources.
• Develop scalable data models to support analytics, reporting, and advanced data applications.
• Establish data-modeling conventions, technical standards, and documentation practices.
• Lead complex data initiatives spanning multiple systems and business functions.
• Identify and resolve data quality and pipeline reliability issues.
• Implement automated testing, validation, monitoring, and alerting; promote CI/CD practices.
• Lead design reviews and evaluate solutions on performance, cost, scalability, and maintainability.
• Collaborate with analytics, BI, data science, and tech teams to understand downstream requirements.

Skills

Data modeling

Data pipelines

Data quality

Mentoring

Leadership

Problem solving

Communication

Education

Bachelor’s degree in Computer Science, Information Systems, Mathematics, or related field

Tools

Cloud platforms (AWS/Azure/GCP)

CI/CD tooling

Version control (Git)

SQL databases

ETL frameworks

Job description

Compensation: $155,000 - $160,000 with potential Bonus
Location: Arlington, TX
Work Model: ONSITE 4 to 5 Days a week
Benefits: Are eligible to enroll in benefits, including medical, dental, and vision
Employment Type: Full-Time
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

Key Details

• Compensation: $155,000 - $160,000 with potential Bonus
• Location: Arlington, TX
• Work Model: ONSITE 4 to 5 Days a week
• Benefits: Are eligible to enroll in benefits, including medical, dental, and vision
• Employment Type: Full-Time
• 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

• 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

Required Qualifications

• 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

LaSalle Network is an Equal Opportunity Employer m/f/d/v.