Data Engineer (OFSE Digital) Houston or Remote

Would you like to shape the future of energy technology?

 
Do you enjoy being part of a successful team?

Partner with the best
 

As a Data Engineer, you will focus on commercially-facing analytics development projects, typically involving large, complex data sets. This typically includes statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in Baker Hughes business units.
 

As a Data Engineer, you will be responsible for:

• Implementing Data warehouse & Big/Small data designs with automated MDM and data quality capabilities.
• Demonstrating proficiency at industry standard data modeling tools (e.g., ERWin, ER Studio, etc.).
• Integrating domain data knowledge into development of data requirements.
• Looking across multiple systems, understands the purpose of each system and defines data requirements by systems.
• Leading the development and deployment of analytics within well-defined projects to address customer needs and opportunities.
• Delivering technical support and maintenance for AL/ML models deployed for Baker Hughes' Leucipa AI product.
• Working alongside with other data scientists, data engineers and software engineers to translate algorithms into commercially viable products and services
• Collaborating with other engineering disciplines, domain experts, internal and external customers
• Contributing to continuous improvement and quality initiatives as well as innovative approaches and solutions to business problems

Fuel your passion
 

To be successful in this role you will:

• Have a bachelor's degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math).
• Have a minimum of 6 years of related professional experience
• Proficient with Python Scikit Learn, TensorFlow, PyTorch & Keras Framework
• Experienced in timeseries analysis using advanced machine learning/AI techniques.
• Have strong numerical skills used in a data science context, including working with numerical data in analytics and/or machine learning contexts
• Have demonstrable skills and experience in algorithm development from design, prototyping and testing to delivery and application to engineering problems
• Have solid solid AI/ML model development experience in Python working in a production environment across the full software lifecycle 
• Experience with MLOps would be an added advantage
• Experience with LLMs (large language models) would be an added advantage
• Have exposure to Big Data and Cloud technologies (for algorithm development/productionisation as well as for data storage and software engineering)
• Have SQL and NoSQL data model awareness

Work in a way that works for you
 

We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns:

• Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

• This team is currently fully remote. Possible return to hybrid model in the future.

Working with us
 

Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other.
 

Working for you
 

Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow, we know we have to push the boundaries today. We prioritize rewarding those who embrace change with a package that reflects how much we value their input.  Join us, and you can expect:

As a Staff Data Engineer, you will be part of a data engineering or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in Baker Hughes business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization.

In this role, you will:

• Be Proficient in at least one data modality (e.g., text, numeric, image), conversant in more than one. Proficient