Data Engineering Lead - Part-Time, DataOps & Governance

Bechtel

Houston (TX)

Hybrid

USD 83,000 - 124,000

Part time

6 days ago
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Job summary

Bechtel is seeking a Data Engineering Lead in Houston to drive end-to-end data engineering initiatives within the Energy Business Unit. The role focuses on delivering scalable, governed data capabilities that support analytics, AI, and decision-making, across EPC domains.

This part-time telework position requires at least three days in-person per week at the Houston office, with weekly schedules set in coordination with leadership. Extensive data, cloud, and governance experience are essential.

Qualifications

  • Requires bachelor's or master's degree with 13–15 years of relevant experience or 17–19 years of work experience.
  • Experience delivering data pipelines, integrations, APIs, and enterprise data products.
  • Knowledge of EPC project delivery, engineering, procurement, project controls, or operations preferred.

Responsibilities

  • 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.
  • Oversee data pipelines, integrations, APIs, and data products.
  • Guide deployment, monitoring, and operational support with DataOps practices.

Skills

Data engineering
Pipelines
SQL
Python
Cloud platforms
Data modeling
DataOps
CI/CD
Leadership
Stakeholder comms

Education

Bachelor's degree
Master's degree

Tools

Azure
Databricks
Fabric

Job description

Bechtel is seeking a Data Engineering Lead in Houston to drive end-to-end data engineering initiatives within the Energy Business Unit. The role focuses on delivering scalable, governed data capabilities that support analytics, AI, and decision-making, across EPC domains.

This part-time telework position requires at least three days in-person per week at the Houston office, with weekly schedules set in coordination with leadership. Extensive data, cloud, and governance experience are essential.

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