Senior Specialist, Federal Data Engineer

The KPMG Advisory practice is currently our fastest growing practice. We are seeing tremendous client demand, and looking forward we don't anticipate that slowing down. 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 make sure 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:

• Rapidly architect, design, prototype, implement, and optimize pipelines to tackle Data Access, Data Management, and Data Science needs; develop modular code to solve "real" world problems following best practices in the industry
• Utilize data wrangling tools and coding languages such as Python, PySpark, and SQL to extract valuable insights from data through analytics
• Assist in the technical process from ideation to delivery: Research, experiment, and utilize leading data methodologies to build pipelines and scalable analytic tools utilizing leading technologies
• Regularly code peer code reviews to ensure code quality provide expert documentation and provide operating guidance for users of all levels
• Execute data operations essential for analysis, including tasks such data cleansing, data integration, and data transformation
• Develop engineering designs / positively impact business performance, translate between business and technical stakeholders
• Monitor performance and reliability of data systems, identifying / resolving issues while proactively optimizing logic and model performance by code tuning, streamlining, and resource allocation

Qualifications:

• A minimum three years of Data Engineering / Technical Analytics experience; U.S. Federal government consulting experience preferred
• Bachelor's degree from an accredited college/university
• Experience with programming languages (Python, PySpark, and/or SQL preferred) with ability to rapidly ingest, transform, engineer, and visualize data for both ad hoc and product-level data / analytics solutions
• Experience with data processing and ETL: Familiarity with Extract, Transform, Load (ETL) processes and tools for data ingestion, integration, and transformation
• Experience with data modeling and schema design: Knowledge of data modeling principles and experience in designing efficient / scalable data schemas
• Experience with development tools and team methodologies (Agile, GIT, test driven development, CI/CD release management)
• Strong understanding of governance, controls, process and procedures, centers of competency, change management, conceptual data modeling, master data management, data standardization and stewardship, information integrity and compliance, and data quality management
• Ability to travel as required to support firm engagements
• Applicant must possess a U.S. Government Secret clearance

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, the firm 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 the firm publishes a calendar of holidays to be observed during the year and provides two firmwide 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 can be found towards the bottom of our KPMG US Careers site at "Benefits & How We Work".