Senior Data Engineer – Energy Trading & Cloud Data Solutions

Talan • Houston, TX

1d • Hybrid

About The Position

Talan is seeking a Senior Data Engineer with Energy Trading expertise to support a major client in designing and delivering cloud-based data solutions. The role combines hands-on data engineering, product ownership, and collaboration with business and technical stakeholders to build scalable solutions and improve business efficiency.

The position is based in New York City and follows a hybrid arrangement requiring at least four days onsite per week. Talan offers sponsorship under specific treaty-based U.S. work visas, including TN and E-2 for eligible Canadian, Mexican, and French citizens; it does not support or transfer other visa types, such as H-1B.

Talan is an international group supporting clients' end-to-end Data & AI transformation through management consulting and technological expertise. It has more than 6,000 employees across five continents, including 2,500 Data & AI experts. In the Americas, its teams bring more than 30 years of experience helping business leaders across industries design, build, and scale solutions.

Talan offers a 401(k) retirement plan with company matching; paid vacation of 15 days per year at hire, increasing to as many as 27 days according to seniority, with unused annual vacation days cashed out; eight paid holidays, five sick days, and two personal days per year; company health, dental, and vision insurance plans plus an FSA; voluntary short- and long-term disability coverage; and commuter/transit benefits.

Requirements

• Bachelor's degree in Computer Science, Engineering, Energy, Finance, Quantitative Finance, or a related discipline, or equivalent professional experience.
• At least 5 years of experience in Data Engineering, including cloud-based data pipelines and integration.
• At least 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 cloud platforms such as 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.

Nice To Haves

• Experience working 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.

Responsibilities

• Design, develop, and optimize cloud-based data pipelines, ETL/ELT workflows, and data models using Python and SQL.
• Ensure data quality, performance, reliability, and seamless 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, and cloud platform capabilities.
• Apply best practices in Agile delivery, CI/CD, data quality, documentation, and continuous improvement.

Benefits

• 401(k) retirement plan with company matching.
• 15 days of paid vacation per year at hire, increasing to as many as 27 days according to 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 plus FSA.
• Voluntary short-term and long-term disability coverage.
• Commuter/transit benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior