Senior Data Engineer – Energy Trading & Cloud Data Solutions

Talan; Houston (TX); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

401(k) plan

Vacation days

Insurance (health, dental, vision)

STD/LTD

Job summary

Talan is seeking a Senior Data Engineer with strong Energy Trading expertise to design and deliver cloud-based data solutions. You will combine hands-on data engineering, product ownership, and stakeholder collaboration to drive scalable, business-focused results.

Work includes building cloud data pipelines, ensuring data quality and governance, and aligning data architecture with business needs across Energy Trading teams. Hybrid NYC environment.

Qualifications

• Bachelor's degree in computer science, engineering, energy, finance or related field.
• 5+ years in data engineering with cloud pipelines.
• 2+ years in energy trading, energy markets, or related.
• Strong Python and SQL skills.
• Experience with AWS/Azure/GCP and data integration.
• Knowledge of ETL/ELT, data modeling, orchestration, and API integrations.
• Experience with data quality, governance, metadata, and data lineage.
• Experience managing backlogs and roadmaps; stakeholder collaboration.
• Strong communication and problem-solving skills.

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.

Skills

Python

SQL

ETL/ELT

Data modeling

Data governance

Data quality

Workflow orchestration

APIs

Agile

CI/CD

Education

Bachelor's degree in Computer Science or Engineering

Tools

AWS

Azure

GCP

Job description

Senior Data Engineer – Energy Trading & Cloud Data Solutions

• Full-time
• Contract Type: Permanent contract

Talan is an international group that supports its clients in their end-to-end Data & AI transformation by combining management consulting with technological expertise.

With over 6,000 employees across five continents, we accelerate our clients' transformations through long-term partnerships, creating measurable and sustainable impact.

Our value proposition is built on a structured innovation ecosystem: 2,500 Data & AI experts, proprietary solutions built on advanced models, and an applied research, experimental development, and innovation laboratory.

In Americas, our multidisciplinary teams bring over 30 years of experience helping business leaders across key industries achieve measurable performance and strong ROI, designing, building, and scaling solutions that enable companies to grow more efficiently.

Location:NYC (Hybrid - at least 4 days onsite/week)

Visa Sponsorship:We offer sponsorship under specific treaty-based U.S. work visas, including TN and E-2 (for eligible Canadian, Mexican, and French citizens). We do not support or transfer other visa types (e.g., H-1B).

We are seeking a Senior Data Engineer with strong Energy Trading expertise to support a major client in designing and delivering cloud-based data solutions. This role combines hands-on data engineering, product ownership, and stakeholder collaboration to drive scalable solutions and business efficiency.

Key Responsibilities:

Data Engineering & Cloud Solutions:

• 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.

Product Ownership & Business Collaboration:

• 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.

Qualifications & Experience:

• Bachelor degree in Computer science, Engineering, Energy, Finance orQuantitative finance
• 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 cloud platforms such as AWS, Azure, or 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, or a related discipline, or equivalent professional experience.

Preferred Qualifications

• 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.

Benefits

• 401(k) retirement plan with company matching
• 15 days of paid vacation per year at hire and up to 27 according to seniority (annual untaken vacation days are cashed out)
• 8 paid holidays + 5 sick days + 2 personal days per year
• Company health, dental, and vision insurance plans + FSA
• Voluntary STD and LTD

All your information will be kept confidential according to EEO guidelines.

By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply