Data Engineer I
McKinsey & Company
Data Science
San Jose, CA, USA
Posted on Apr 16, 2025
Data Engineer I
Job ID: 97138
Do you want to work on complex and pressing challenges—the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you’ve come to the right place.
Your Impact
You’ll work in the San Jose, Costa Rica office with a small pod of data engineers that are responsible for the development and deployment of the People Analytics and Measurement Team’s expanding cloud-based infrastructure.
Your core responsibilities will include developing ETL and data ingestion pipelines between a variety of technologies including S3, Snowflake, NEO4J, and API gateways as well as design, development, and maintenance of the team’s reporting data warehouse.
These services are ingrained in critical workflows across the firm. You will help us transform how our stakeholders go about their daily work by automating much of their less sophisticated tasks and allowing them to focus on more value-added activities. Through development of templates and development patterns, you will help build reusable assets that can be leverage by other PAM and firm colleagues.
Your Growth
At McKinsey & Company, our most valuable resource is our people. As such, we have built a world class people analytics team dedicated to optimizing people management and facilitating data driven decision making for firm leadership, including strategies to improve employee satisfaction, team structure, employee management, recruiting decisions, and other high impact use cases.
The People Analytics team is globally respected as a leader in the field. You will be provided the opportunity for in-depth exposure to new, emerging methodologies through hands-on client projects, e-learning, certifications, live boot camps and global analytics conferences. This team is one of the fastest growing disciplines in analytics.
As a Data Engineer, you will be responsible for designing, developing, and maintaining scalable and reliable data pipelines using Python and AWS services. You will develop and optimize ETL processes, leveraging orchestration tools to manage complex workflows, while implementing data quality checks and monitoring to ensure data accuracy and integrity. Collaborating closely with application developers, data analysts, and data scientists, you will gather requirements and deliver effective data solutions. Additionally, you will automate data processes and deployments using CI/CD pipelines, as well as monitor and troubleshoot data pipeline performance, identifying and resolving issues to ensure seamless operations.
Your qualifications and skills
- Bachelor’s or master’s degree in computer science, engineering, or a related field
- Strong proficiency in Python programming, including experience with data manipulation libraries
- Extensive experience with data warehousing concepts, best practices and SQL
- Understanding of AWS cloud services, including (but not limited to) S3, RDS, Lambda, EC2 and IAM
- Understanding of software development principles such as project architecture, version control (Git), test-driven development, etc. are important for this role
- AWS experience preferred
- Ability to work independently as a trusted member of project teams with diverse backgrounds and varying technical abilities
- Technologically curios and open to new ways of working
- Ability to describe data and analytic processes from start to finish in your area of expertise
Please review the additional requirements regarding essential job functions of McKinsey colleagues.
FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.
FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.
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Job Skill Group - CSSA
Job Skill Code - FDAL - Data Engineer I
Function - Technology
Industry - High Tech
Post to LinkedIn - Yes
Posted to LinkedIn Date - Wed Apr 16 00:00:00 GMT 2025
LinkedIn Posting City - San Jose
LinkedIn Posting State/Province -
LinkedIn Posting Country - Costa Rica
LinkedIn Job Title - Data Engineer I
LinkedIn Function - Consulting;Engineering;Information Technology
LinkedIn Industry - Information Technology and Services
LinkedIn Seniority Level - Not Applicable
Job Skill Code - FDAL - Data Engineer I
Function - Technology
Industry - High Tech
Post to LinkedIn - Yes
Posted to LinkedIn Date - Wed Apr 16 00:00:00 GMT 2025
LinkedIn Posting City - San Jose
LinkedIn Posting State/Province -
LinkedIn Posting Country - Costa Rica
LinkedIn Job Title - Data Engineer I
LinkedIn Function - Consulting;Engineering;Information Technology
LinkedIn Industry - Information Technology and Services
LinkedIn Seniority Level - Not Applicable