Description
Company Summary:
Fermi America is pioneering the development of next-generation energy infrastructure to power the future of artificial intelligence. By delivering highly reliable, gigawatt-scale power solutions, we are helping meet the rapidly growing energy demands of advanced AI technologies.
Our flagship HyperGrid™ campus in Amarillo, Texas, is designed to become one of the world's largest energy-driven AI complexes, integrating nuclear, natural gas, utility, solar, and battery power. With a planned 17 gigawatts of power capacity and 18 million square feet of AI infrastructure, Fermi America is positioned to play a leading role in the future of energy and artificial intelligence.
At Fermi America, we are building more than infrastructure. We are creating opportunities for talented professionals to help shape the next generation of energy and AI innovation.
About the Role:
Fermi America is building a governed data platform to power its analytics and AI capabilities, and this is the first engineering hire on that team. As Senior Data Integration Engineer, you will build, deploy and operate the integrations that turn approved enterprise source data into reliable, traceable inputs for analytics and AI. Your first deliveries will support Finance and Project Controls, and you will report to Jeff Loyd, Head of Enterprise Data & AI, as a senior individual contributor.
You will own the full path from source system to trusted data. That starts with agreeing source contracts with application and business owners (which records, identifiers, history, update frequency and access constraints are needed), then building ingestion and bronze and silver processing that preserves raw data and standardizes it without losing provenance or history. You will design pipelines that handle incremental updates, replays, backfills and schema changes without silently losing or duplicating data, and back them with automated quality checks and source-to-platform reconciliations, taking exceptions to the right data owner until they are resolved.
You will also run what you build: version-controlled code, repeatable deployments, monitoring, runbooks and approved identity and credential-management patterns. When delivery partners are engaged, you will pair with them and make sure Fermi keeps the knowledge to change and operate its own integrations.
Requirements
• Data engineering & enterprise integration: 6+ years in data engineering, including 3+ years delivering production integrations from enterprise applications.
• Advanced SQL & data modeling: 5+ years writing production SQL; 3+ years designing data models.
• Python (or Scala) for data pipelines: 4+ years building production pipelines in Python or Scala.
• Incremental processing, history & recovery: 3+ years operating incremental pipelines in production.
• Data quality, reconciliation & testing: 3+ years implementing automated data quality or reconciliation frameworks.
• APIs & data extraction: 3+ years integrating with enterprise application APIs.
• Version control, CI/CD & production operations: 3+ years supporting production data systems, including on-call or incident response.
• Cloud data platforms: 3+ years on cloud data platforms.
• Stakeholder communication & knowledge transfer: Demonstrated record of partnering directly with business and application owners on 2+ integration projects.
Equal Employment Opportunity & Benefits:
Fermi America is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, national origin, age, disability, genetic information, veteran status, or any other status protected by applicable law.
Fermi America offers a competitive benefits package, including medical, dental, vision, life insurance, disability coverage, and employee assistance programs, subject to eligibility and plan terms.
Reasonable accommodation is available to qualified applicants with disabilities throughout the hiring process.
Skills Required
- 6+ years in data engineering, including 3+ years delivering production integrations from enterprise applications
- 5+ years writing production SQL and 3+ years designing data models
- 4+ years building production data pipelines in Python or Scala
- 3+ years operating incremental pipelines in production, including history and recovery
- 3+ years implementing automated data quality or reconciliation frameworks
- 3+ years integrating with enterprise application APIs
- 3+ years supporting production data systems, including on-call or incident response
- 3+ years working on cloud data platforms
- Demonstrated experience partnering directly with business and application owners on at least two integration projects
What We Do
Fermi Inc. develops private power campuses for AI-centric customers, providing gigawatt-scale, behind-the-meter energy generation and high-performance computing infrastructure.
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