Lead Data Engineer II

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

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Work you'll do

As a Lead Data Engineer II on the AI & Data team, you will be responsible for...

• 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

A successful candidate would possess these skills:

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to mentor and provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Qualifications

Required:

• 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.

Preferred:

• 2+ years of experience with Databricks, Snowflake, or comparable cloud data platforms
• 2+ years of experience building orchestration workflows using Apache Airflow or comparable tools
• 2+ years of experience delivering data engineering solutions for government or public sector organizations
• 2+ years of experience with data governance, data quality, or metadata management tools
• 1+ cloud data engineering certification in Amazon Web Services, Microsoft Azure, or Google Cloud Platform
• 2+ years of experience supporting artificial intelligence or machine learning use cases through production data pipelines

Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at [e-mail].