Data Engineering Lead: Scalable Pipelines & AI Solutions

PowerToFly; Pennsylvania; On-site; USD 140,000 - 210,000; Full time

Job summary

Deloitte GPS invites applications for a Lead Data Engineer II to design, build, and optimize data pipelines for large-scale platforms and AI initiatives. You will translate requirements into scalable data models, and lead cross-functional delivery across cloud environments.

The role emphasizes quality, reliability, and collaboration with government and public sector clients in the GPS practice. The ideal candidate has 6+ years of data engineering experience, strong Python/SQL skills, and

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a technical field, or equivalent experience.
• 6+ years of experience designing, building, and maintaining data pipelines and cloud-based data platforms.
• 4+ years of experience with Python, Structured Query Language, and distributed data processing frameworks.
• 3+ years of experience with Amazon Web Services, Microsoft Azure, or Google Cloud Platform.
• 2+ years of experience leading data engineering workstreams and delivering production data solutions using version control and deployment pipelines.
• Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.

Responsibilities

• Designing, building, and optimizing batch and streaming data pipelines for large-scale data platforms.
• Translating business, functional, and technical requirements into scalable data models, integration patterns, and engineering solutions.
• Leading technical delivery across data engineering workstreams, including code reviews, design decisions, and release support.
• Integrating data from multiple enterprise source systems and cloud environments to support reporting, analytics, and artificial intelligence use cases.
• Supporting testing, deployment, monitoring, and issue resolution to improve reliability, performance, and data quality.

Skills

Leadership

Mentoring

Project management

Communication

Team collaboration

Deadline-driven

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, or a technical field, or equivalent experience

Tools

Python

SQL

Distributed data processing frameworks

Airflow

Databricks

Cloud platforms (AWS/Azure/GCP)

Job description

Deloitte GPS invites applications for a Lead Data Engineer II to design, build, and optimize data pipelines for large-scale platforms and AI initiatives. You will translate requirements into scalable data models, and lead cross-functional delivery across cloud environments.

The role emphasizes quality, reliability, and collaboration with government and public sector clients in the GPS practice. The ideal candidate has 6+ years of data engineering experience, strong Python/SQL skills, and