Leucipa Lead Data Engineer

Baker Hughes • Houston, TX

6d

About The Position

Baker Hughes is a global energy technology company serving the oil and gas sector across more than 120 countries. The Commercial & Sales organization drives growth by building strong customer partnerships, commercializing hydrocarbons, and delivering integrated equipment and service solutions. With a focus on digital transformation and energy transition, the team leverages data-driven insights to optimize sales performance and maximize customer value. Partner with the best. Fuel your passion We are seeking a motivated Data Engineer to join our team and help build robust, with 0-5 years’ Experience, scalable data infrastructure. In this role, you will design, develop, and maintain data pipelines that support analytics, reporting, and operational needs. You’ll collaborate with cross-functional teams to ensure data quality, accessibility, and performance across platforms. As a Lead Data Engineer, you will be responsible for: Overseeing and managing front-line manufacturing employees. Typically managing hourly employee populations. Developing and maintaining ETL/ELT pipelines for structured and unstructured data. Working with cloud-based data platforms (e.g., AWS, Azure, GCP). Optimizing data workflows for performance and scalability. Collaborating with data analysts and scientists to support business insights. Ensuring data integrity and implement best practices in data engineering.

Requirements

• Have 0–5 years of experience in data engineering or related field.
• Have Proficiency in SQL and Python (or Scala).
• Have Familiarity with cloud services and data warehousing tools.
• Have good understanding of data modeling and pipeline orchestration.
• Have strong problem-solving and communication skills.

Responsibilities

• Overseeing and managing front-line manufacturing employees.
• Typically managing hourly employee populations.
• Developing and maintaining ETL/ELT pipelines for structured and unstructured data.
• Working with cloud-based data platforms (e.g., AWS, Azure, GCP).
• Optimizing data workflows for performance and scalability.
• Collaborating with data analysts and scientists to support business insights.
• Ensuring data integrity and implement best practices in data engineering.

Benefits

• Contemporary work-life balance policies and wellbeing activities
• Comprehensive private medical care options
• Safety net of life insurance and disability programs
• Tailored financial programs
• Additional elected or voluntary benefits
• You will be eligible to participate in Company-sponsored benefit programs, including health & welfare programs and the Thrift Plan (401k).
• You will have a choice of coverage options that best suit your needs.
• Coverage options and contribution amounts are related to your benefit elections, base salary level, and specific requirements of each of these plans.
• This position is eligible for our comprehensive and competitive benefits package, which can be found here, and is further eligible for additional forms of compensation such as bonuses subject to the terms of the applicable benefit plans or policies.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees