Platform Data Engineer – Defense Public Sector (Secret)

McKinsey & Company; San Francisco (CA); On-site; USD 176,000 - 179,500; Full time

Benefits offered by this job

Medical coverage

Dental and vision coverage

Generous retirement contributions

Paid time off

Job summary

McKinsey & Company in San Francisco is seeking a Data Engineer with at least 3 years of experience in cloud-based data engineering, particularly using AWS. The role includes creating Python code, developing CI/CD pipelines, and working with various cloud infrastructures and Docker containers.

Applicants must hold a SECRET Security Clearance. The compensation is competitive, with salaries ranging from $176,000 to $179,500 USD, alongside comprehensive benefits including medical insurance and retirement contributions.

Qualifications

• 3+ years of professional experience as a data engineer, focusing on cloud-based data engineering.
• Experience with data at various classification levels and SECRET Security Clearance.
• Good understanding of clean coding practices and testing automation.

Responsibilities

• Create Python code and tests, develop CI/CD pipelines.
• Work with cloud infrastructures (AWS, Azure, GCP) and Docker containers.
• Develop data ingestion and processing capabilities.

Skills

Python development

Cloud-based data engineering

Neo4j and knowledge graphs

Docker

Problem-solving skills

Communication and collaboration

Tools

AWS

Azure

GCP

Job description

McKinsey & Company in San Francisco is seeking a Data Engineer with at least 3 years of experience in cloud-based data engineering, particularly using AWS. The role includes creating Python code, developing CI/CD pipelines, and working with various cloud infrastructures and Docker containers.

Applicants must hold a SECRET Security Clearance. The compensation is competitive, with salaries ranging from $176,000 to $179,500 USD, alongside comprehensive benefits including medical insurance and retirement contributions.