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Data Engineering Project Lead

Date:  May 29, 2025
Location: 

Houston, TX, US, 77032

We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.

 

About the Role: We are seeking a Data Engineering Lead to oversee a product-aligned “pod” of 3–4 data engineers. This role combines technical expertise with leadership, cross-functional collaboration, and product-aligned thinking. You’ll work closely with Product Managers to understand business priorities and translate them into robust, scalable, and insightful data products.

 

Key Responsibilities

  • Team Leadership & Delivery
    • Lead a team of 3–4 data engineers focused on delivering data products aligned to a specific Product Service Line (PSL)
    • Own project planning, task assignment, and ensure timely delivery of high-quality data assets
    • Mentor engineers, conduct code reviews, and help grow their technical and professional skills
  • Product Collaboration
    • Partner with Product Managers to understand business goals, define data requirements, and prioritize work
    • Advocate for data-driven decision-making within the product team
  • Technical Execution
    • Design, build, and optimize modern ETL pipelines using Azure cloud technologies
    • Implement data ingestion, curation, cataloging, and transformation workflows using PySpark, Python, and SQL
    • Leverage Databricks for scalable data processing and advanced analytics
    • Conduct exploratory data analysis and create compelling visualizations to draw insights and support decision-making
  • Data Product Ownership
    • Ensure the quality, discoverability, and reusability of datasets across the organization
    • Build and maintain Power BI dashboards and reports for both internal and external stakeholders
  • Innovation & Strategy
    • Stay up to date with emerging cloud data technologies and recommend improvements to the current data stack
    • Influence architectural decisions and contribute to long-term data platform strategy

 

Nice to Have

  • Experience in a product-led organization or working directly with product development teams
  • Familiarity with data science workflows, including statistical modeling, machine learning, or experimentation
  • Background in analytics, applied statistics, or scientific computing
  • Exposure to MLOps tools or hybrid data engineering/data science pipelines
  • Experience with infrastructure-as-code, CI/CD for data workflows, or containerization (e.g., Docker)

Preferred Qualifications

  • 5+ years of experience in data engineering or a similar role, with at least 1–2 years in a leadership or mentorship capacity
  • Proficiency in Python and PySpark for data engineering, analytics, and scientific computation
  • Hands-on experience with Azure Data Services (Data Factory, Synapse, etc.) and Databricks
  • Familiarity with data governance, cataloging, and schema management
  • Strong experience with Power BI or other BI tools for dashboard development and report modification
  • Excellent communication skills and a track record of successful collaboration with product managers or other non-technical stakeholders

Required Qualifications

  • Completion of an undergraduate degree in STEM and 6+ years of related experience is required. Master's degree or Ph.D in STEM is preferred
  • Candidates having qualifications that exceed the minimum job requirement will receive consideration for higher-level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs. Depending on education, experience, and skill level, a variety of job opportunities might be available from the Principal Software Developer, Advisor Software Developer up to the Senior Advisor Software Developer

 

 

 

Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

 

Location

3000 N. Sam Houston Parkway E., Houston, Texas, 77032, United States 

 

Job Details

Requisition Number: 199356 
Experience Level: Experienced Hire
Job Family: Engineering/Science/Technology
Product Service Line: Global R&D 
Full Time / Part Time: Full Time

Additional Locations for this position: 

 

Compensation Information
Compensation is competitive and commensurate with experience.


Nearest Major Market: Houston
Job Segment: Cloud, Database, SQL, Data Analyst, Technology, Data

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