Senior 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 Senior Specialist to join our Federal Advisory practice.

Responsibilities:

Leverage a variety of modern big data tools / approaches to solve complex business objectives

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

Build pipelines / scalable analytics tools using leading technologies (e.g.

- Hadoop, Spark, Kafka, Kubernetes, Terraform, Airflow, AWS, Azure, GCP, etc.)Conduct peer code reviews to ensure code quality, provide documentation / operating guidance for users of all levels (translate between business & technical stakeholders)
Develop data engineering designs that positively impacts business performance

Qualifications:

A minimum of three years of technical data engineering experience; U.S. Federal government consulting experience preferred

Bachelor's degree from an accredited college/university

Experience with Python and SQL required (experience with Advana, Databricks, Spark preferred)

Experience with development tools and methodologies (Agile, GIT, test driven development, CI/CD release management)

Experience with data architecture / integration and coding / testing patterns working with existing open-source software platforms

Ability to travel as required to support firm engagements

Applicant must possess a U.S. Government Secret clearance KPMG 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 is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health.

Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday.

Additional details about our benefits…