Data Engineer Lead — Spark, Cloud & AI/ML Solutions

Zachary Piper Solutions; McLean (VA); Hybrid; USD 120,000 - 225,000; Full time

Benefits offered by this job

Salary Range $120k-$225k

Comprehensive Benefits

Job summary

Zachary Piper Solutions is seeking Data Engineers for our Professional Services team in McLean, VA. You will design and build reference architectures, draft how‑to guides, and operationalize customer use cases to deliver high‑value analytics projects.

You will work with Engagement Managers, guide strategic customers through big data initiatives, provide architectural guidance, and assist with end‑to‑end design, build, and deployment of data and AI applications.

Qualifications

• 6+ years of experience in data engineering, data platforms, or analytics.
• Experience with Apache Spark and distributed computing.
• Proficiency in Python or Scala for data workflows.
• Working knowledge of at least two major cloud ecosystems (AWS/Azure/GCP).
• Strong documentation, communication, and whiteboarding skills.

Responsibilities

• Deliver high-value technical projects, including reference architectures and guides.
• Partner with Engagement Managers to scope professional services work.
• Lead end-to-end design, build, and deployment of data and AI solutions.
• Provide architectural guidance and hands-on implementation support.
• Serve as escalation point for complex operational issues during engagements.
• Collaborate with cross-functional teams to ensure successful delivery.

Skills

Python or Scala

MLOps concepts

CI/CD practices

Data architecture

Customer engagement

Documentation & communication

Conflict management

Continuous learning

Education

Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent

Tools

Apache Spark

AWS

Azure

GCP

Job description

Zachary Piper Solutions is seeking Data Engineers for our Professional Services team in McLean, VA. You will design and build reference architectures, draft how‑to guides, and operationalize customer use cases to deliver high‑value analytics projects.

You will work with Engagement Managers, guide strategic customers through big data initiatives, provide architectural guidance, and assist with end‑to‑end design, build, and deployment of data and AI applications.