Talan

Senior Data Engineer – Energy Trading & Cloud Data Solutions

Houston, United States

Actively hiring, first seen by us 13 days ago

Pay: Pay not listedSimilar roles state $127K–$190K
Work setting: Working pattern needs review — work setting source
Job Description 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).
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment: Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

Before you apply

Work authorization: Sponsors visas

What you’ll work on

Full posting

Design, develop, and optimize cloud-based data pipelines, ETL/ELT workflows, and data models using Python and SQL.
Collaborate with Energy Trading, Assets, Operations, and IT teams to translate business needs into technical solutions.
Improve data architecture, governance, and cloud platform capabilities.

From the employer’s posting

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.

Data Strategy & Governance: Improve data architecture, governance, and cloud platform capabilities. Apply best practices in Agile delivery, CI/CD, data quality, documentation, and continuous improvement.

What you’ll bring

All qualifications

Core experience

Bachelor degree in Computer science, Engineering, Energy, Finance or Quantitative 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.
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.

Preferred experience

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.

Qualification wording

Bachelor degree in Computer science, Engineering, Energy, Finance or Quantitative 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.

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.

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.

Education & alternatives

Qualifications - Bachelor degree in Computer science, Engineering, Energy, Finance or Quantitative finance - 5+ years of experience in Data Engineering, including cloud-based data pipelines and integration.

- Strong communication, analytical, and problem-solving skills. - Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent professional experience. Preferred Qualifications

Apply at Talan

Posting record

Report an error

Actively hiringFirst seen by us 13 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Oct 21, 202613 days ago
Recorded sightings: 114
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 13

Similar jobs usually come down between day 5 and day 54.

From 10,733 similar postings that came down. Coming down is not always a hire.

Talan is hiring

7 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Data Engineer hiring is picking up
Takes jobs down quickly

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
AWS
Azure
GCP

Where the posting names them

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.

- 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 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.

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Job Description

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.

Data Strategy & Governance:

Improve data architecture, governance, and cloud platform capabilities.
Apply best practices in Agile delivery, CI/CD, data quality, documentation, and continuous improvement.

Qualifications

Bachelor degree in Computer science, Engineering, Energy, Finance or Quantitative 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 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, 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.
Experience supporting enterprise-scale data transformation initiatives.

Company’s Benefits

At Talan, we invest in our employees' well-being and empower them with benefits, including:

💸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
🚍 Commuter/transit benefits

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

Company Description

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.

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