Lead Specialist, Federal Data Engineer

The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture.

At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.

KPMG is currently seeking a Lead Specialist to join our Federal Advisory practice.

Responsibilities:

Support leadership in taking lead on developing technical contents such as business development documents, white papers and technical responses and provide proficient documentation and operating guidance for clients and users of all levels

Collaborate with KPMG or client teams in designing and developing technical architectures and best practices required as part of KPMG technical responses to the government RFPs and RFIs including detailed methodologies / roadmaps for cloud migration and integration

Lead multi-disciplinary and cross functional teams, workshops, and innovation sessions with clients to identify business opportunities and design, develop, and optimize architectures to tackle the Big Data and Data Science needs for federal and local government agencies

Utilize processes and best practices to plan, lead, and execute delivery of big data and data analytics engagements with clients to manage risks, set expectations, and ensure high quality deliverables

Design tools and services useful in cloud Dev Ops environments such as performance monitoring, security monitoring, deployment/configuration, continuous integration/build servers, and cloud resource creation scripts

Rapidly architect, design, prototype, and optimize software systems to tackle Data Access, Data Management, and Data Science needs

Qualifications:

A minimum of five years of experience with programming languages (Python, Scala preferred) with the ability to pick up new languages and technologies quickly

Bachelor's degree from an accredited college/university

Ability to rapidly ingest, transform, engineer, and visualize data for both ad hoc and product-level (e.g., automated) data and analytics solutions

Understanding of cloud and distributed systems principles (load balancing, networks, scaling, in-memory vs. disk, etc.)Experience with large-scale big data methods (Hadoop stack, Cloud, Kubernetes)
Ability to travel as required to support firm engagements

Applicant must possess or be eligible for a U.S. Government clearanceKPMG LLP and its affiliates and subsidiaries (“KPMG”) complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations.

In addition, KPMG LLP is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best…