
Data Engineer II - Growth, Marketing & Sales
at McKinsey & Company
Posted 6 days ago
No clicks
- Compensation
- Not specified
- City
- Not specified
- Country
- Costa Rica
Currency: Not specified
Join McKinsey's Periscope team in San Jose, Costa Rica as a Data Engineer II within Growth, Marketing & Sales. You will design and execute data pipelines, perform data ingestion, transformation and loading into applications, validate data quality with test suites, and code scripts (SQL, Python, PySpark) to automate data transformation and loading. You’ll collaborate with a startup-minded, high-performing team to deliver scalable data solutions that enable marketing and sales transformations for clients. The Growth, Marketing & Sales practice focuses on marketing and sales topics across consumer and B2B environments, helping clients redefine how they go to market and improve revenue growth.
Data Engineer II - Growth, Marketing & Sales
Job ID: 104264
Your Impact
Your Growth
- Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
- A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
- Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
- World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
Your qualifications and skills
- Bachelor's degree in computer science, information technology, engineering or related degree
- 4+ years of experience in the field of data management, IT (database-focused), ETL and/or data analysis domains
- Hands-on experience with SQL language, Python and PySpark
- Ability and passion to work with big data technologies
- Exposure to AWS,Databricks, Snowflake and MS Azure or any reporting tool (Power Bi, Tableau etc..)
- Experience working on Agile teams
- Excellent time management skills
- Strong interpersonal skills including assertiveness and client-oriented mindset
- Sound problem-solving skills and action-oriented mindset
- Good attitude for getting the task executed, creative implementation of technology
- Ability to cope with pressure and demonstrate a reasonable level of flexibility/adaptability
- Excellent verbal and written communication skills in English
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.
Job Skill Code - SDE2 - (Restricted) SD Data Engineer II
Function - Marketing & Sales
Industry - High Tech
Post to LinkedIn - Yes
Posted to LinkedIn Date - Wed Dec 17 00:00:00 GMT 2025
LinkedIn Posting City - San Jose
LinkedIn Posting State/Province -
LinkedIn Posting Country - Costa Rica
LinkedIn Job Title - Data Engineer II - Growth, Marketing & Sales
LinkedIn Function - Consulting;Engineering;Marketing
LinkedIn Industry - Management Consulting
LinkedIn Seniority Level - Mid-Senior level

