KPMG US · 12 hours ago
Senior Specialist, Federal Data Engineer
McLean, VA
Full-time
Hybrid
Mid, Senior Level
3+ years expKPMG is a leading advisory firm experiencing rapid growth in their Advisory practice. They are seeking a Senior Specialist to collaborate with cross-functional teams on data analytics and AI engagements, develop machine learning models, and contribute to actionable insights for clients.
Financial Services
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
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
Qualification
Required
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
Ability to travel as required to support firm engagements
Applicant must possess a U.S. Government Secret clearance
Preferred
U.S. Federal government consulting experience
Experience in leveraging cloud services, Cloud Certifications (e.g. - AWS Solution Architect, AWS Machine Learning, Google Data Engineering, Azure AI Engineer Associate, etc.)
Benefits
Medical and dental plans
Vision coverage
Disability and life insurance
401(k) plans
A robust suite of personal well-being benefits to support your mental health
Personal Time Off per fiscal year
Calendar of holidays to be observed during the year
Two breaks each year where employees will not be required to use Personal Time Off
Company
KPMG US
KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Lynne Doughtie
Former Chairman and CEO
Paul Knopp
Chair and CEO
Recent News
Australian Financial Review
2024-05-12
2024-05-07
Media OutReach
2024-04-30
Company data provided by crunchbase