Odyssey Information Services
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with 5+ years of experience in the oil and gas industry. Contract length is unspecified, with a pay rate of "unknown". Key skills include Python, SQL, Apache Airflow, and Kubernetes.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 7, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
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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 #API (Application Programming Interface) #Data Engineering #GIT #Leadership #ML (Machine Learning) #Airflow #Big Data #Data Science #Python #Scala #Pytest #Apache Airflow #Automation #Data Quality #Pandas #Data Pipeline #Kubernetes #Data Processing #SQL (Structured Query Language) #Data Analysis #Deployment
Role description
We are seeking an experienced Data Engineer (5+ years) to join our Big Data & Advanced Analytics team. This role partners closely with Data Science and key business units to solve real-world midstream oil and gas challenges using machine learning, data engineering, and advanced analytics. The ideal candidate brings strong technical expertise and thought leadership to help mature and scale the organization’s data engineering practice.
Must-Have Skills
• Python (Pandas, NumPy, PyTest, Scikit-Learn)
• SQL
• Apache Airflow
• Kubernetes
• CI/CD
• Git
• Test-Driven Development (TDD)
• API development
• Working knowledge of Machine Learning concepts
Key Responsibilities
• Build, test, and maintain scalable data pipeline architectures
• Work independently on analytics and data engineering projects across multiple business functions
• Automate manual data flows to improve reliability, speed, and reusability
• Develop data-intensive applications and APIs
• Design and implement algorithms that convert raw data into actionable insights
• Deploy and operationalize mathematical and machine learning models
• Support data analysts and data scientists by enabling data processing automation and deployment workflows
• Implement and maintain data quality checks to ensure accuracy, completeness, and consistenc
We are seeking an experienced Data Engineer (5+ years) to join our Big Data & Advanced Analytics team. This role partners closely with Data Science and key business units to solve real-world midstream oil and gas challenges using machine learning, data engineering, and advanced analytics. The ideal candidate brings strong technical expertise and thought leadership to help mature and scale the organization’s data engineering practice.
Must-Have Skills
• Python (Pandas, NumPy, PyTest, Scikit-Learn)
• SQL
• Apache Airflow
• Kubernetes
• CI/CD
• Git
• Test-Driven Development (TDD)
• API development
• Working knowledge of Machine Learning concepts
Key Responsibilities
• Build, test, and maintain scalable data pipeline architectures
• Work independently on analytics and data engineering projects across multiple business functions
• Automate manual data flows to improve reliability, speed, and reusability
• Develop data-intensive applications and APIs
• Design and implement algorithms that convert raw data into actionable insights
• Deploy and operationalize mathematical and machine learning models
• Support data analysts and data scientists by enabling data processing automation and deployment workflows
• Implement and maintain data quality checks to ensure accuracy, completeness, and consistenc
