Analyst, Senior Data Engineering
Houston, Texas
Employer: Enterprise Products
Industry: Information Technology
Salary: Competitive
Job type: Full-Time
Description
Enterprise Products Partners L.P. is one of the largest publicly traded partnerships and a leading North American provider of midstream energy services to producers and consumers of natural gas, NGLs, crude oil, refined products and petrochemicals. Our services include: natural gas gathering, treating, processing, transportation and storage; NGL transportation, fractionation, storage and import and export terminals; crude oil gathering, transportation, storage and terminals; petrochemical and refined products transportation, storage and terminals; and a marine transportation business that operates primarily on the United States inland and Intracoastal Waterway systems. The partnership's assets include approximately 50,000 miles of pipelines; 260 million barrels of storage capacity for NGLs, crude oil, refined products and petrochemicals; and 14 billion cubic feet of natural gas storage capacity.
We are currently seeking an experienced Machine Learning Engineer to join the Big Data and Advanced Analytics department. As a member of the Data Engineering team, the Machine Learning Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence. This individual will provide analytical and technical leadership to the team to advance the machine learning engineering practice within the organization.
Responsibilities include:
Qualifications
The successful candidate will meet the following qualifications:
Enterprise Products Partners L.P. is one of the largest publicly traded partnerships and a leading North American provider of midstream energy services to producers and consumers of natural gas, NGLs, crude oil, refined products and petrochemicals. Our services include: natural gas gathering, treating, processing, transportation and storage; NGL transportation, fractionation, storage and import and export terminals; crude oil gathering, transportation, storage and terminals; petrochemical and refined products transportation, storage and terminals; and a marine transportation business that operates primarily on the United States inland and Intracoastal Waterway systems. The partnership's assets include approximately 50,000 miles of pipelines; 260 million barrels of storage capacity for NGLs, crude oil, refined products and petrochemicals; and 14 billion cubic feet of natural gas storage capacity.
We are currently seeking an experienced Machine Learning Engineer to join the Big Data and Advanced Analytics department. As a member of the Data Engineering team, the Machine Learning Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence. This individual will provide analytical and technical leadership to the team to advance the machine learning engineering practice within the organization.
Responsibilities include:
- Work directly with Business domain experts and Data Scientists to understand business objectives and develop high quality, scalable, machine learning systems
- Design and implement frameworks and tools to streamline the machine learning process.
- Automate manual data tasks to improve efficiency, reliability, and scalability.
- Convert research-based machine learning models into production-ready software.
- Provide solutions to mathematical optimization problems.
- Create and maintain optimal machine learning pipelines.
- Collect, explore, and prepare data for advanced analytics and machine learning.
- Perform exploratory data analysis and present findings and recommendations.
- Research and prototype new technologies to advance the machine learning capability
Qualifications
The successful candidate will meet the following qualifications:
- 5+ years of programming experience in Python.
- Expertise in testing, packaging, and deploying machine learning models.
- Expertise in software engineering practices such as Design Principles and Patterns, Unit Testing, Refactoring, CI/CD, and version control.
- Experience in building user interfaces for analytical applications using Python web frameworks such as Dash, Streamlit, and FastAPI.
- Knowledgeable of various machine learning frameworks, libraries, and packages including Scikit-learn, TensorFlow, Keras, and PyTorch.
- Knowledgeable of mathematical optimization frameworks such as Google OR-Tools and SciPy.
- Knowledgeable of modern data platform technologies including Apache Airflow, Kubernetes, Object Storage.
Created: 2024-08-27
Reference: 000ER7
Country: United States
State: Texas
City: Houston
ZIP: 77069
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