Senior Data Engineer – Energy Trading & Cloud Data Solutions

Location: NYC, hybrid; at least 4 days onsite per week. Visa sponsorship is available under specific treaty-based U.S. work visas, including TN and E-2, for eligible Canadian, Mexican, and French citizens; other visa types, including H-1B, are not supported or transferred.

Company

hirify.global is an international group supporting end-to-end Data & AI transformation through management consulting and technology expertise, with over 6,000 employees across five continents and 2,500 Data & AI experts.

What you will do

• Design, develop, and optimize cloud-based data pipelines, ETL/ELT workflows, and data models using Python and SQL.
• Ensure data quality, performance, reliability, and integration across systems.
• Collaborate with Energy Trading, Assets, Operations, and IT teams to translate business needs into technical solutions.
• Own and prioritize product backlogs, roadmaps, and releases while managing stakeholder expectations.
• Improve data architecture, governance, metadata, data lineage, and cloud platform capabilities.
• Apply Agile delivery, CI/CD, data quality, documentation, and continuous-improvement practices.

Requirements

• 5+ years of experience in Data Engineering, including cloud-based data pipelines and integration.
• 2+ years of experience in Energy Trading, Energy Markets, Asset Management, or Energy Operations.
• Strong hands-on programming experience with Python and SQL.
• Experience with AWS, Azure, or Google Cloud Platform (GCP).
• Strong understanding of ETL/ELT, data modeling, workflow orchestration, and API integrations.
• Experience with data quality, governance, metadata, and data lineage.
• Demonstrated ability to manage business requirements, product backlogs, and delivery roadmaps.
• Experience collaborating directly with business stakeholders and cross-functional technical teams.
• Strong communication, analytical, and problem-solving skills.
• Bachelor’s degree in Computer Science, Engineering, Energy, Finance, Quantitative Finance, or a related discipline, or equivalent professional experience.

Nice to have

• Experience with energy trading data, commodity markets, or Energy Trading and Risk Management (ETRM) systems.
• Familiarity with power and gas markets, trading positions, pricing, P&L, or asset-related data.
• Experience with modern cloud data platforms, data warehouses, or lakehouse architectures.
• Knowledge of Agile delivery methodologies and DevOps practices.
• Experience supporting enterprise-scale data transformation initiatives.

Culture & Benefits

• Permanent employment with a hybrid work arrangement in NYC.
• 401(k) retirement plan with company matching.
• 15 paid vacation days at hire, increasing to up to 27 based on seniority; unused annual vacation days are cashed out.
• 8 paid holidays, 5 sick days, and 2 personal days per year.
• Company health, dental, and vision insurance plans, including FSA.
• Voluntary short-term and long-term disability coverage and commuter/transit benefits.