Recru
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer on a 1-year contract, hybrid in Houston, TX, with a pay rate of "TBD." Key skills include expert-level Microsoft SQL Server, SSIS, Python, and experience with energy trading processes and data warehousing best practices.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 20, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Houston, TX
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🧠 - Skills detailed
#NumPy #Tableau #Data Manipulation #Metadata #SQL Server #Microsoft Power BI #"ETL (Extract #Transform #Load)" #Python #Power Automate #Libraries #Database Design #API (Application Programming Interface) #SSRS (SQL Server Reporting Services) #Forecasting #Data Governance #MS SQL (Microsoft SQL Server) #BI (Business Intelligence) #Computer Science #SSIS (SQL Server Integration Services) #Data Quality #Data Engineering #Data Storytelling #Databases #Storytelling #Automation #Microsoft SQL Server #Data Extraction #Consulting #Data Modeling #Data Pipeline #Microsoft SQL #Pandas #Data Analysis #Oracle #SQL (Structured Query Language) #Documentation #Data Management #Visualization #Datasets
Role description
•
• No C2C Submissions
•
• 1- year contract
Hybrid (3-days per week on-site, in Houston, TX)
This hands-on consulting role supports a fast-paced energy management team focused on data engineering, data pipelines, data warehousing, and ETRM systems. The ideal candidate will have expert-level experience with Microsoft SQL Server and SSIS, knowledge of energy trading processes, and strong skills in Python, data modeling, and data warehousing best practices.
Required Qualifications & Experience
• Expert-level experience with Microsoft SQL Server, including database design, query optimization, performance tuning, stored procedures, and ETL development using SQL Server Integration Services (SSIS).
• Strong experience developing and maintaining reporting solutions using SQL Server Reporting Services (SSRS) or comparable enterprise reporting platforms.
• Hands-on experience working with Oracle databases, including data extraction, integration, performance analysis, and SQL development.
• Proficiency in Python development, with a focus on data engineering, ETL processes, API integrations, automation, and data transformation workflows.
• Strong understanding of Python data analysis and processing libraries, including Pandas, NumPy, and related frameworks used for large-scale data manipulation and analytics.
• Experience designing, building, and supporting data pipelines that integrate data from multiple internal and external systems.
• Working knowledge of business intelligence and data visualization tools such as Power BI and/or Tableau, including dashboard development, reporting, and data storytelling.
• Familiarity with the Microsoft Power Platform, including Power Apps and Power Automate, to support workflow automation, business process improvement, and low-code application development.
• Knowledge of data warehousing concepts, dimensional modeling, and best practices for data governance, data quality, and metadata management.
• Experience working with time-series data, market data, pricing models, forecasting models, or financial and commodity trading datasets preferred.
• Ability to assess, cleanse, validate, and integrate large datasets from diverse sources
• Experience supporting Energy Trading and Risk Management (ETRM) platforms and an understanding of energy market operations, trading processes, scheduling, settlements, or risk management is highly desirable.
• Strong analytical, troubleshooting, and problem-solving skills with the ability to identify root causes and implement sustainable solutions.
• Experience creating, maintaining, and improving technical documentation, data dictionaries, process documentation, and operational procedures.
Education and Minimum Experience
• Bachelor’s degree in Computer Science, Engineering, MIS or related discipline/experience
•
• No C2C Submissions
•
• 1- year contract
Hybrid (3-days per week on-site, in Houston, TX)
This hands-on consulting role supports a fast-paced energy management team focused on data engineering, data pipelines, data warehousing, and ETRM systems. The ideal candidate will have expert-level experience with Microsoft SQL Server and SSIS, knowledge of energy trading processes, and strong skills in Python, data modeling, and data warehousing best practices.
Required Qualifications & Experience
• Expert-level experience with Microsoft SQL Server, including database design, query optimization, performance tuning, stored procedures, and ETL development using SQL Server Integration Services (SSIS).
• Strong experience developing and maintaining reporting solutions using SQL Server Reporting Services (SSRS) or comparable enterprise reporting platforms.
• Hands-on experience working with Oracle databases, including data extraction, integration, performance analysis, and SQL development.
• Proficiency in Python development, with a focus on data engineering, ETL processes, API integrations, automation, and data transformation workflows.
• Strong understanding of Python data analysis and processing libraries, including Pandas, NumPy, and related frameworks used for large-scale data manipulation and analytics.
• Experience designing, building, and supporting data pipelines that integrate data from multiple internal and external systems.
• Working knowledge of business intelligence and data visualization tools such as Power BI and/or Tableau, including dashboard development, reporting, and data storytelling.
• Familiarity with the Microsoft Power Platform, including Power Apps and Power Automate, to support workflow automation, business process improvement, and low-code application development.
• Knowledge of data warehousing concepts, dimensional modeling, and best practices for data governance, data quality, and metadata management.
• Experience working with time-series data, market data, pricing models, forecasting models, or financial and commodity trading datasets preferred.
• Ability to assess, cleanse, validate, and integrate large datasets from diverse sources
• Experience supporting Energy Trading and Risk Management (ETRM) platforms and an understanding of energy market operations, trading processes, scheduling, settlements, or risk management is highly desirable.
• Strong analytical, troubleshooting, and problem-solving skills with the ability to identify root causes and implement sustainable solutions.
• Experience creating, maintaining, and improving technical documentation, data dictionaries, process documentation, and operational procedures.
Education and Minimum Experience
• Bachelor’s degree in Computer Science, Engineering, MIS or related discipline/experience
