Data Engineer: Clustering, APIs & Data Strategy (CO)

Filetwigbay; Westminster (CO); On-site; USD 90,000 - 139,000; Full time

Job summary

McKinsey & Company is hiring a Data Engineer in Westminster, CO who can passionately argue for Keras and then commit to the team’s decision. You will develop RESTful APIs and map data flow across clustering services, driving data-driven decisions and reducing technical debt.

The role requires curiosity, mentoring abilities, and strong communication to translate data findings into actionable recommendations. Expect competitive compensation and growth opportunities in a fast-paced environment.

Qualifications

• Be the newest person in the room and the loudest in the notes.
• Steer technology conversations toward a decision.
• Curiosity that outpaces your current job description.
• Demonstrated capacity to mentor or support mid-level teammates.
• Strong working knowledge of Keras and Clustering.
• Comfort interpreting data and translating findings into clear recommendations.

Responsibilities

• Develop and maintain RESTful APIs powering core McKinsey & Company products
• Pull McKinsey & Company’s Clustering stack out of the CO region before the migration deadline
• Refactor the technology module McKinsey & Company has been afraid to touch
• Map data flow across McKinsey & Company’s Clustering services and spot the leaks
• Walk technology stakeholders through Data Mining tradeoffs in language executives grasp
• Profile and refactor legacy code to reduce technical debt over time
• Translate a napkin idea from McKinsey & Company founders into a Cultural Awareness design-led prototype
• Translate the safety-first Cultural Awareness outage into fixes that make the next Westminster launch dull

Skills

Keras

Clustering

Data interpretation

Mentoring

Communication

Curiosity

Job description

McKinsey & Company is hiring a Data Engineer in Westminster, CO who can passionately argue for Keras and then commit to the team’s decision. You will develop RESTful APIs and map data flow across clustering services, driving data-driven decisions and reducing technical debt.

The role requires curiosity, mentoring abilities, and strong communication to translate data findings into actionable recommendations. Expect competitive compensation and growth opportunities in a fast-paced environment.