SNIPEBRIDGE

Strategic talent advisory and acquisition

Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-timeDallas, TX, USANo salary listed

About the Job

Requirements

A bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience.
At least 6 years of data engineering, analytics engineering, or backend platform experience.
Advanced SQL and Python skills, including experience building production-grade pipelines.
Experience with a major cloud platform and modern data services, warehouses, or lakehouse technologies.
Working knowledge of orchestration, transformation, version control, continuous integration and continuous delivery (CI/CD), testing, and data observability.
Strong system-design, troubleshooting, documentation, and stakeholder communication skills.
Applicants must be legally authorized to work in the United States without sponsorship and must already possess long-term work authorization.

Responsibilities

Design, build, test, and operate scalable batch and streaming data pipelines.
Integrate data from operational technology, monitoring, asset, energy, financial, and enterprise platforms.
Develop curated data models and reusable datasets for analytics, reporting, forecasting, and machine learning.
Establish data-quality checks, observability, lineage, documentation, and incident-response practices.
Optimize storage, orchestration, query performance, reliability, and cloud cost.
Partner with analysts, software engineers, operations leaders, and subject-matter experts to define data products.
Review code, mentor engineers, and improve engineering standards and deployment practices.
Apply security, privacy, access-control, and governance requirements throughout the data lifecycle.

Desired Qualifications

Experience with Spark, Databricks, Kafka, dbt, Airflow, or comparable technologies.

Senior Data Engineer - 1S6J022

SNIPEBRIDGE · Dallas, United States (Hybrid) · Full-time · Posted 2026-08-18

Workplace: hybrid

Department: Tech Sample Jobs

Description

SNIPEBRIDGE is a strategic talent solutions company specializing in connecting exceptional talent to great career opportunities. We work as an exclusive partner to leading AEC and technology organizations that are advancing the built environment through innovation, technical rigor, and transformative work.

COMPANY

Our client operates within the fast-moving data center and digital infrastructure sector, where engineering, construction, technology, energy, and operations come together to support always-on environments. Its multidisciplinary teams plan, design, deliver, and operate complex facilities with a strong focus on reliability, safety, scalability, and efficient use of power and cooling. The work calls for close coordination across technical disciplines and offers the opportunity to contribute to infrastructure that supports the continued growth of cloud computing, AI, and connected services.

THE OPPORTUNITY

The Senior Data Engineer will build the trusted data foundation used to understand infrastructure performance, capacity, energy, maintenance, and business operations. The role combines hands-on engineering with architecture and partnership, turning data from multiple operational systems into reliable, governed, and usable products.

KEY RESPONSIBILITIES

Design, build, test, and operate scalable batch and streaming data pipelines
Integrate data from operational technology, monitoring, asset, energy, financial, and enterprise platforms
Develop curated data models and reusable datasets for analytics, reporting, forecasting, and machine learning
Establish data-quality checks, observability, lineage, documentation, and incident-response practices
Optimize storage, orchestration, query performance, reliability, and cloud cost
Partner with analysts, software engineers, operations leaders, and subject-matter experts to define data products
Review code, mentor engineers, and improve engineering standards and deployment practices
Apply security, privacy, access-control, and governance requirements throughout the data lifecycle

REQUIREMENTS

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience
6+ years of data engineering, analytics engineering, or backend platform experience
Advanced SQL and Python skills with experience building production-grade pipelines
Experience with a major cloud platform and modern data services, warehouses, or lakehouse technologies
Working knowledge of orchestration, transformation, version control, CI/CD, testing, and data observability
Experience with Spark, Databricks, Kafka, dbt, Airflow, or comparable technologies preferred
Strong system-design, troubleshooting, documentation, and stakeholder communication skills

All applicants must be legally authorized to work in the United States without sponsorship and must already possess long-term work authorization.

Apply

Apply at SNIPEBRIDGE

About the Company

SNIPEBRIDGE

Strategic talent advisory and acquisition

Snipebridge provides strategic talent solutions for high-growth companies, focusing on Talent Advisory, Talent Attraction, and Talent Acquisition. Its approach combines a holistic ‘attract-engage-acquire’ methodology with an individualized hiring strategy and execution program to fill roles faster, hire higher-quality candidates, and reduce cost per hire. The product works by aligning a tailored hiring plan with process excellence, accelerators, and automation to streamline sourcing, engagement, and onboarding, delivering faster impact on revenue, lower employee attrition, and improved margins. What sets Snipebridge apart is its end-to-end focus on strategy plus execution for scaling organizations, prioritizing speed, candidate quality, cost efficiency, and exceptional customer success. The company’s goal is to help high-growth businesses scale quickly by delivering the right talent efficiently, reducing hiring waste, and supporting long-term organizational success.

Company size: 11-50
Company stage: Not listed
Total funding: Not listed
Headquarters: Plano, TX
Founded: 2016

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