Baker Hughes

Baker Hughes

Provides innovative solutions for energy, industrial, and infrastructure sectors globally.

68,000EnergyIndustrialSubseaPipelineTurbomachineryProcessInfrastructureMaintenanceCommissioningInspectionIntegrityEngineeringOil and GasEnergy TransitionWebsite

Leucipa Lead Data Engineer

Build and maintain scalable data pipelines, ETL/ELT, cloud platforms, ensure data quality

United States
Full Time
Junior (1-3 years)

Job Highlights

Environment
Office Full-Time

About the Role

In this role you will oversee front‑line manufacturing hourly employees, develop and maintain ETL/ELT pipelines for both structured and unstructured data, and work with cloud‑based data platforms such as AWS, Azure, or GCP. You will also optimise data workflows for performance and scalability, collaborate with data analysts and scientists for business insights, and uphold data integrity through best engineering practices. • Oversee and manage front‑line manufacturing hourly employees. • Develop and maintain ETL/ELT pipelines for structured and unstructured data. • Work with cloud data platforms such as AWS, Azure, or GCP. • Optimize data workflows for performance and scalability. • Collaborate with data analysts and scientists to enable business insights. • Ensure data integrity and apply best practices in data engineering.

Key Responsibilities

  • etl pipelines
  • cloud platforms
  • workflow optimization
  • data integrity
  • team management
  • data collaboration

What You Bring

We are seeking a motivated Data Engineer with 0‑5 years of experience to design, develop, and maintain scalable data pipelines that support analytics, reporting, and operational needs. You will collaborate with cross‑functional teams to ensure data quality, accessibility, and performance across platforms. The successful candidate will have 0‑5 years of data‑engineering experience, be proficient in SQL and Python (or Scala), and be familiar with cloud services and data‑warehousing tools. A solid understanding of data modelling, pipeline orchestration, strong problem‑solving abilities, and effective communication skills are essential. • Possess 0‑5 years of experience in data engineering or a related field. • Proficient in SQL and Python (or Scala). • Familiar with cloud services and data‑warehousing tools. • Understand data modeling and pipeline orchestration. • Demonstrate strong problem‑solving and communication skills.

Requirements

  • 0‑5 years
  • sql
  • python
  • cloud
  • data modeling
  • problem solving

Benefits

We recognise that individuals thrive under different working patterns, so we offer flexible hours that let you work when you are most productive and fit your personal commitments. Our people are at the heart of Baker Hughes; we invest in health and well‑being, train and reward talent, and develop leaders at all levels. We foster an inclusive environment where everyone can bring their authentic selves to work. Benefits include contemporary work‑life balance policies, comprehensive private medical care, life‑insurance and disability coverage, tailored financial programs, voluntary benefits, and participation in the Thrift Plan (401k). • Flexible working hours to match personal productivity. • Access to comprehensive health, medical, life‑insurance, disability, and 401k plans. • Benefit from work‑life balance policies and wellbeing activities. • Eligible for tailored financial programs and voluntary benefits.

Work Environment

Office Full-Time

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