KPMG-posted about 1 month ago
Full-time • Mid Level
Onsite • Saint Louis, MO
5,001-10,000 employees
Professional, Scientific, and Technical Services

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.

  • Develop code to prepare, extract, and enrich a variety of structured and unstructured data sources, working with the business to understand available resources / constraints around data
  • Create production quality data pipelines and Machine Learning pipelines that can be deployed at scale
  • Translate advanced business analytics problems into technical approaches that yield actionable recommendations, in diverse domains (risk management, product development, marketing research, supply chain, public policy)
  • Support leading teams in the development of client solutions utilizing analytics, exploratory data analysis, data wrangling, and ETL
  • Provide oversight, scoping, technical assistance, and quality control over the development of analytics solutions using analytics / data wrangling tools (e.g. Python, R, SQL, SAS)
  • Perform operations to prepare data for analysis (e.g. data cleansing, data integration, data transformation)
  • Lead discussions with clients on the value proposition of analytics, analytic methodologies, and outputs of analytic solutions
  • Develop documentation / guides for analytics usage and maintenance
  • A minimum of three years of data engineering / analytics experience
  • Bachelor's degree from an accredited college / university
  • Develop end-to-end data pipelines, data warehousing, and analytics solutions leveraging Databricks and AWS services such as S3, Redshift, Glue, and Lambda
  • Hands-on experience data engineering, cloud architecture, or related fields with a focus on AWS and Databricks
  • Proficiency in programming languages such as Python, Scala, SQL
  • Ability to travel as required to support firm engagements
  • Initial project will be located in the St. Louis, MO region, requires daily on-site presence
  • Applicant must possess a U.S. Government Secret clearance
  • KPMG offers a comprehensive compensation and benefits package.
  • 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.
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