Data Engineering Lead
- Compensation
- Not disclosed
- Location
- Houston, Texas
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Part time
- Experience
- 10+ years
- Category
- Data engineering
- Posted
Skills
Full description
Requisition ID: 300413
- Relocation Authorized: None
- Telework Type: Part-Time Telework
- Work Location: Houston, TX
Extraordinary teams building inspiring projects:
Since 1898, we have helped customers complete more than 25,000 projects in 160 countries on all seven continents that have created jobs, grown economies, improved the resiliency of the world's infrastructure, increased access to energy, resources, and vital services, and made the world a safer, cleaner place.
Differentiated by the quality of our people and our relentless drive to deliver the most successful outcomes, we align our capabilities to our customers' objectives to create a lasting positive impact. We serve the Infrastructure; Nuclear, Security & Environmental; Energy; Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial planning and investment, through start-up and operations.
Core to Bechtel is our Vision, Values and Commitments. They are what we believe, what customers can expect, and how we deliver. Learn more about our extraordinary teams building inspiring projects in our Impact Report.
Project Overview:
Bechtel’s Energy GBU is scaling its AI & Data team to strengthen data availability, quality, and integration across engineering, procurement, project controls, and operations. Successful delivery requires reliable, governed data products and platforms that enable analytics, AI, and business decision-making.
The Data Engineering Lead supports this transformation by driving the planning, delivery, and operationalization of scalable data engineering solutions across the Energy Business Unit.
Job Summary:
The Data Engineering Lead leads end-to-end delivery of data engineering solutions across the Energy Business Unit, translating business and technical needs into reliable, production-ready data capabilities. The role combines data engineering knowledge, digital delivery experience, and EPC expertise to deliver scalable, governed, and operationally sustainable data solutions from planning through deployment.
This position is designated as part-time telework per our global telework policy and will require at least three days of in-person attendance per week at the assigned office or project. Weekly in-person schedules will be determined by the individual and their supervisor, in consultation with functional or project leadership. #LI-VB1
Major Responsibilities:
Data Engineering Solution Delivery
- Lead end-to-end delivery of data engineering solutions.
- Manage delivery plans, milestones, resources, and dependencies.
- Coordinate business and technical teams to resolve delivery risks.
Data Architecture & Integration
- Oversee data pipelines, integrations, APIs, and data products.
- Ensure solutions are scalable and aligned with enterprise architecture.
- Guide deployment, monitoring, and operational support using DataOps practices..
Data Quality, Governance & Security
- Establish data quality, lineage, metadata, and access requirements.
- Ensure compliance with governance, privacy, and security standards.
- Support governance reviews, controls, and production readiness.
Business Value & Cross-Functional Collaboration
- Translate business and EPC data needs into delivery requirements.
- Partner with AI, analytics, architecture, governance, and functional teams.
- Track delivery performance, adoption, and business value.
Education and Experience Requirements:
- Requires bachelor's or master's degree (or international equivalent) and 13-15 years of relevant experience or 17-19 years of relevant work experience
Prefferred:
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Engineering, or related field.
- Master’s degree in a related technical field preferred.
- Relevant cloud, data engineering, architecture, or DataOps certifications preferred.
Required Knowledge and Skills:
Industry Experience
- 10–15 years of data engineering, data platform, integration, or technology delivery experience.
- Knowledge of EPC project delivery, engineering, project controls, procurement, or operations preferred.
- Experience leading multidisciplinary business and technical teams.
Data Engineering Experience
- Experience delivering data pipelines, integrations, APIs, and enterprise data products.
- Proficiency with SQL, Python, cloud data platforms, and distributed processing technologies.
- Knowledge of data modeling, quality, governance, security, DataOps, and CI/CD.
- Experience with Microsoft Azure, Fabric and Databricks preferred.
Skills & Competencies
- Technical delivery and program management.
- Data architecture and problem-solving.
- Stakeholder communication and cross-functional leadership.
- Ability to manage competing priorities in complex EPC environments.
Total Rewards/Benefits:
For decades, Bechtel has worked to inspire the next generation of employees and beyond! Because our teams face some of the world's toughest challenges, we offer robust benefits to ensure our people thrive. Whether it is advancing careers, delivering programs to enhance our culture, or providing time to recharge, Bechtel has the benefits to build a legacy of sustainable growth. Learn more at Bechtel Total Rewards
Diverse teams build the extraordinary:
As a global company, Bechtel has long been home to a vibrant multitude of nationalities, cultures, ethnicities, and life experiences. This diversity has made us a more trusted partner, more effective problem solvers and innovators, and a more attractive destination for leading talent.
We are committed to being a company where every colleague feels that they belong-where colleagues feel part of "One Team," respected and rewarded for what they bring, supported in pursuing their goals, invested in our values and purpose, and treated equitably. Click here to learn more about the people who power our legacy.