Senior Data Engineer

Role Overview:

• We are seeking a highly independent Senior Data Engineer to own and support our enterprise data platform, with Snowflake as the central data repository. This role is focused on managing, maintaining, and building data pipelines that support commercial, trading, pricing, and operational systems across the business.
• This is not an enterprise systems support role — the focus is on data from the systems, not managing the systems themselves. The ideal candidate will be comfortable stepping in with minimal oversight, quickly getting up to speed, and owning the data environment day‑to‑day.

Ideal Candidate Summary:

A senior‑level, Snowflake‑focused data engineer who understands commercial and energy data, can walk in with confidence, own the data platform with minimal supervision, and keep critical pipelines running while improving what’s already in place.

Must-Have Technical Requirements:

• Senior‑level Data Engineering background
• Energy, commodities, or power markets experience
• Familiarity with ETRM systems (PCI strongly preferred)
• Strong, hands‑on Snowflake experience
• Strong Python for data pipelines and automation
• Experience building, maintaining, and supporting data integrations / pipelines
• Comfortable working independently with little day‑to‑day direction

Highly Preferred/Big Differentiators:

• Experience in IPP or power generation environments (e.g., NRG, Calpine, Constellation, Vistra)
• Understanding of pricing data, trading workflows, or market operations
• Candidates who combine strong technical skills with good communication and visibility

What You'll Be Doing:

• Own and manage the Snowflake data platform, serving as the central repository
• Maintain and enhance existing integration pipelines (8–10 core pipelines today)
• Build new data pipelines as vendors, pricing sources, and commercial systems are added
• Manage data ingestion from multiple commercial and operational systems, including:
• ETRM platforms (PCI experience is a strong plus)
• Pricing and market data vendors
• Systems that regularly pull or receive external data
• Ensure high reliability and performance for business‑critical data feeds
• Provide general data platform support, including backfill coverage for day‑to‑day operational needs
• Partner with commercial, trading, and operations teams to understand data needs
• Support analytics, reporting, forecasting, and downstream data use cases

Data Environment (High-Level):

• Snowflake as the central data repository
• 8–10 existing integration pipelines
• Data sources include:
• ETRM systems
• Pricing vendors
• Commercial and operational systems
• External data feeds pulled by internal systems