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.

• Collaborate with multi-disciplinary / cross-functional teams to identify business opportunities, develop machine learning models, and data science solutions
• Utilize processes / best practices to plan, lead, and execute delivery of data analytics and AI engagements
• Work with engagement teams to discover data sources, create data requests; collaborate with data engineers to develop / utilize ETL process to ingest and enrich structured / unstructured data
• Perform explanatory data analyses, generate / test working hypotheses, prepare / analyze historical data and identify patterns; perform machine learning, natural language, and statistical analysis methods (such as classification, cluster analysis, collaborative filtering, sentiment analysis, language modeling, time-series analysis, regression, statistical inference, etc.)
• Rapidly learn / develop skills in utilizing cloud compute, data storage resources, and other on-prem / cloud-native services for data acquisition, management, transformation, model development / deployment
• Contribute to developing dashboards, UI and interactive tools to support clients to turn their data into actionable insights / reproducible reports

• A minimum of three years of data analytics solutions, data engineering, or machine learning modeling experience; U.S. Federal government consulting experience preferred
• Bachelor's degree from an accredited college/university
• Ability to apply artificial intelligence / machine learning techniques to achieve business goals; ability to work with business to understand available resources and constraints around data (sources, integrity, definitions); provide assistance and resolve issues
• Proficiency with programming languages such as Python, R, Java, SQL and open-source packages / libraries
• Design, build, operationalize, and maintain robust data pipelines, demonstrating deep SAP ERP knowledge to integrate complex financial / logistical data into the Jupiter platform using Databricks, Python, and Spark
• Experience leveraging Jupiter platform to engineer and model curated datasets from SAP ERP pipeline
• Experience in leveraging cloud services, Cloud Certifications (e.g. - AWS Solution Architect, AWS Machine Learning, Google Data Engineering, Azure AI Engineer Associate, etc.) preferred
• Ability to travel as required to support firm engagements
• Applicant must possess a U.S. Government Secret clearance

KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.

Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.