Senior Data Engineer - Data Platform and Pipelines

Snipebridge; Dallas (TX); On-site; USD 120,000 - 190,000; Full time

Job summary

SNIPEBRIDGE is seeking a Senior Data Engineer to build a trusted data foundation for understanding infrastructure performance, capacity, energy, maintenance, and business operations.

You will design and operate scalable batch and streaming data pipelines, integrate data from multiple platforms, and develop curated data models for analytics, reporting, forecasting, and machine learning. All applicants must be authorized to work in the United States without sponsorship.

Qualifications

• Bachelor's degree or equivalent experience in a related field.
• 6+ years of data engineering or backend platform experience.
• Advanced SQL and Python skills for production pipelines.
• Experience with cloud platforms and modern data services.
• Knowledge of orchestration, CI/CD, data observability.
• Familiarity with Spark, Databricks, Kafka, dbt, Airflow is a plus.
• Strong system-design, troubleshooting, documentation, and stakeholder communication.

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.

Job description

SNIPEBRIDGE is seeking a Senior Data Engineer to build a trusted data foundation for understanding infrastructure performance, capacity, energy, maintenance, and business operations.

You will design and operate scalable batch and streaming data pipelines, integrate data from multiple platforms, and develop curated data models for analytics, reporting, forecasting, and machine learning. All applicants must be authorized to work in the United States without sponsorship.