Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,159 postings in the last year. Stated ranges, not salaries paid.
Senior Data Engineer – Energy Trading & Cloud Data Solutions
Houston, United States
Live, first seen by us 2 days ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
Hybrid — work setting source
Job Description Location: Houston (Hybrid – at least 3 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).
Read the full 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 postingDesign and optimize cloud-based data pipelines, ETL/ELT workflows, and data models
Translate Energy Trading, Assets, and Operations needs into technical solutions
Own and prioritize product backlogs, roadmaps, and releases
Improve data architecture, governance, and cloud platform capabilities
Ensure data quality, performance, reliability, and system integration
From the employer’s 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.
Own and prioritize product backlogs, roadmaps, and releases while managing stakeholder expectations.
Improve data architecture, governance, and cloud platform capabilities.
Ensure data quality, performance, reliability, and seamless integration across systems.
What you’ll bring
All qualificationsCore 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
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Nov 6, 20262 days ago
- Recorded sightings
- 3
- Last seen by us
- Nov 8, 2026
- Reposted
- once since Oct 21, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
Time since we first saw it
Day 2
Early. Similar jobs usually come down between day 6 and day 54.
At Talan, jobs usually come down by about day 8.
From 11,573 similar postings that came down, and 208 of Talan’s. 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
- 14% of open jobs were reposted
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.
Your next step
Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.
Applying through SmartRecruiters
- Uploading your resume fills in the application form for you, so check what it filled before you send.
Already applied? Track this application
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
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
Job Description
Location: Houston (Hybrid – at least 3 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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Houston, United States
Job Description Location: Houston (Hybrid – at least 3 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 authorization
Location: Houston (Hybrid – at least 3 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.