Lead Data Engineer - Spark/Databricks & AI Enablement

GlobalLogic; United States; Remote; USD 130,000 - 135,000; Full time

Benefits offered by this job

Exciting Projects

Collaborative Environment

Work-Life Balance

Professional Development

Excellent Benefits

Job summary

GlobalLogic is seeking a data engineering-focused engineer able to ship production-grade pipelines on Spark/Databricks. The role emphasizes test automation, CI/CD, and data contracts with medallion boundaries and lineage. AI/LLM experience and an enablement mindset are valued for long-term team reliability.

Candidates should hold a Bachelor's or Master's in CS/Engineering/Math. The role is remote within the United States, with a salary range of $130,000 to $135,000 per year.

Qualifications

• Shipped data pipelines as real software with packaging and code review.
• Ability to critique architecture with a prioritized backlog.
• Experience delivering reusable data engineering patterns.

Responsibilities

• Develop and maintain data pipelines using Spark/Databricks.
• Lead test automation and CI/CD adoption across the team.
• Model data contracts, medallion boundaries, and lineage.
• Contribute AI/LLM engineering work and cost instrumentation.
• Create a repeatable enablement playbook for team continuity.

Skills

Python on Spark/Databricks

Test automation

CI/CD

AI/LLM engineering experience

Enablement mindset

Education

Bachelor's or Master's Degree in CS/Engineering/Math

Tools

GitHub Actions

pytest

Job description

GlobalLogic is seeking a data engineering-focused engineer able to ship production-grade pipelines on Spark/Databricks. The role emphasizes test automation, CI/CD, and data contracts with medallion boundaries and lineage. AI/LLM experience and an enablement mindset are valued for long-term team reliability.

Candidates should hold a Bachelor's or Master's in CS/Engineering/Math. The role is remote within the United States, with a salary range of $130,000 to $135,000 per year.