Senior Specialist, Federal Data Engineer

KPMG LLP; McLean (VA); Presencial; USD 110.000 - 160.000; Jornada completa

Descripción de la vacante

KPMG LLP in the United States seeks a Senior Specialist to join our Federal Advisory practice in McLean, VA. You will leverage Python, PySpark and SQL to extract insights, build data pipelines, and enable scalable analytics for government engagements.

You will conduct peer reviews, support data quality and ETL processes, translate business needs to technical designs, and help optimize data systems while traveling as needed and maintaining U.S. government clearance.

Formación

• Bachelor's degree required.
• 3+ years of technical data engineering experience.
• Experience with Python, PySpark, and SQL required.
• Experience with data quality management and ETL processes preferred.

Responsabilidades

• Utilize Python, PySpark and SQL to extract insights from data.
• Assist in building pipelines and scalable analytics tools.
• Conduct peer code reviews and produce documentation for users.
• Perform data cleansing, integration and transformation tasks.
• Translate business needs into data engineering designs.
• Monitor and optimize data system performance and reliability.

Conocimientos

Python

PySpark

SQL

Data Wrangling

Educación

Bachelor's degree

Herramientas

Git

CI/CD

ETL Tools

Descripción del empleo

KPMG is currently seeking a Senior Specialist to join our Federal Advisory practice.

Responsibilities:

• Utilize data wrangling tools and coding languages such as Python, PySpark, and SQL to extract valuable insights from data through analytics
• Assist in technical processes from ideation to delivery: Research, experiment, and utilizing data methodologies to build pipelines / scalable analytic tools using leading technologies
• Regularly conduct peer code reviews to ensure code quality and provide expert documentation / operating guidance for users
• Execute data operations essential for analysis, including tasks such as data cleansing, data integration, and data transformation
• Develop data engineering designs and translate efforts between business / technical stakeholders
• Monitor performance and reliability of data systems, identifying / resolving issues while proactively optimizing logic and model performance by code tuning, streamlining, resource allocation

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 programming languages (Python, PySpark, SQL)
• Experience with data quality management: Ability to ensure data integrity, accuracy, consistency through data validation, cleansing, and error handling techniques
• Experience with data processing / ETL knowledge: Extract, Transform, Load (ETL) processes and tools for data ingestion, integration, transformation
• Expertise with development tools / methodologies (Agile, git, test driven development, CI/CD release management)
• Proven ability to rapidly ingest, transform, engineer, and visualize data
• Ability to travel as required to support firm engagements
• Applicant must possess a U.S. Government Secret clearance