Data Engineering Project Lead

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.