Senior Data Engineer - 1S6J022

Snipebridge; Texas; On-site; USD 120,000 - 160,000; Full time

Job summary

SNIPEBRIDGE seeks a Senior Data Engineer to design and operate scalable data pipelines, turning multiple data sources into governed data products for analytics and ML. You’ll work with cross-functional teams to ensure data quality, security, and observability while optimizing costs in a fast-moving infrastructure environment.

The role combines hands-on engineering with architecture and collaboration, focusing on reliability, scalability, and near real-time insights for infrastructure performance

Qualifications

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

Responsibilities

• Design, build, test, and operate scalable batch and streaming data pipelines.
• Integrate data from operational tech, monitoring, asset, energy, financial, and enterprise platforms.
• Develop curated data models and reusable datasets for analytics, reporting, forecasting, and ML.
• 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 SMEs to define data products.
• Review code, mentor engineers, and improve engineering standards and deployment practices.
• Apply security, privacy, access-control, and governance throughout the data lifecycle.

Skills

Advanced SQL

Python

Data pipelines

System design

Stakeholder communication

Education

Bachelor's degree

Tools

Databricks

Apache Spark

Kafka

dbt

Airflow

CI/CD

Job 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.