Senior Data Integration Engineer

Fermi Inc•Dallas, GA

About The Position

Fermi America is developing a governed data platform to support analytics and AI capabilities. As the first engineering hire on the team, the Senior Data Integration Engineer will build, deploy, and operate integrations that turn approved enterprise source data into reliable, traceable inputs for analytics and AI. Initial deliveries will support Finance and Project Controls. This senior individual contributor reports to the Head of Enterprise Data & AI. The role owns the full path from source systems to trusted data. It includes agreeing source contracts with application and business owners, specifying records, identifiers, history, update frequency, and access constraints; building ingestion and bronze and silver processing that preserves raw data and standardizes it without losing provenance or history; and designing pipelines that handle incremental updates, replays, backfills, and schema changes without silently losing or duplicating data. The engineer will implement automated quality checks and source-to-platform reconciliations, and work with data owners to resolve exceptions. The engineer will also operate the integrations, using version-controlled code, repeatable deployments, monitoring, runbooks, and approved identity and credential-management patterns. When delivery partners are engaged, the engineer will pair with them and ensure Fermi retains the knowledge needed to change and operate its integrations.

Requirements

At least 6 years of data engineering experience, including at least 3 years delivering production integrations from enterprise applications.
At least 5 years writing production SQL and at least 3 years designing data models.
At least 4 years building production data pipelines in Python or Scala.
At least 3 years operating incremental pipelines in production.
At least 3 years implementing automated data quality or reconciliation frameworks.
At least 3 years integrating with enterprise application APIs.
At least 3 years supporting production data systems, including on-call or incident response.
At least 3 years working on cloud data platforms.
Demonstrated experience partnering directly with business and application owners on at least 2 integration projects.

Responsibilities

Build, deploy, and operate integrations that provide reliable, traceable enterprise data for analytics and AI.
Agree on source contracts with application and business owners, including records, identifiers, history, update frequency, and access constraints.
Build ingestion and bronze and silver data processing that preserves raw data, provenance, and history while standardizing data.
Design pipelines that handle incremental updates, replays, backfills, and schema changes without losing or duplicating data.
Implement automated data quality checks and source-to-platform reconciliations.
Escalate data exceptions to the appropriate data owners and follow them through resolution.
Operate production integrations using version-controlled code, repeatable deployments, monitoring, runbooks, and approved identity and credential-management patterns.
Pair with delivery partners when engaged and ensure Fermi retains the knowledge needed to change and operate its integrations.