Senior Data Engineer - 1S6J022

SNIPEBRIDGEDallas, TX

About The Position

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.

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
  • 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.

Nice To Haves

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

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
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