Data Engineer - Healthcare Systems and Services at McKinsey & Company in Dallas, TX

QUALIFICATIONS

• Bachelor's degree in Computer Science or equivalent area; Advanced degree a plus
• 4+ years implementing data-intensive applications in Python, Java or Scala
• 2+ years using distributed data processing engines such as Apache Spark, Hive
• 2+ years building cloud native solutions in either AWS, GCP or Azure, applying infrastructure as a code pattern.
• Hands-on experience building decision support systems or advanced analytics solutions
• Experience designing and implementing REST APIs is a plus
• Comprehensive knowledge of Continuous Delivery practices
• Experience delivering solutions through an Agile delivery methodology
• Ability to understand complex systems and solve challenging analytical problems
• Comfort with ambiguity and rapid changes common in early-stage product development
• Travel expectation: less than 10%
• Healthcare domain knowledge not required, but interest in healthcare appreciated

WHO YOU'LL WORK WITH

You'll be based in our Dallas, TX or Waltham, MA office and will be part of our Healthcare Analytics team. This group designs and implements data intensive assets across our global technology hubs.

Our Healthcare Analytics group leverages a big-data analytics platform that includes 100s of terabytes of integrated claim, encounter, clinical, consumer, and other data. The team consists of 100 dedicated experts and 250 affiliated professionals with industry, advanced analytics, statistics, clinical, and software expertise, all of whom work to design, deliver, and operate advanced analytic tools to help healthcare clients around the world.

WHAT YOU'LL DO

You will be a trusted technical expert within the data engineering group, partnering with cross-functional team members to design, develop, and maintain software applications and data services for our Healthcare Analytics team.

In this role you will help modernize and re-invent our technology stack to enable our products to be market leading solutions. By leveraging current engineering frameworks and best practices, you will design and develop core data frameworks that will be leveraged by data engineers and team members. You will be a key contributor to the technology roadmap of the group, bringing forward not just the technology stack, but also contributing to improvements in our software development processes as well as engineering skills.

In order to be successful, you will be an active learner, identifying and evaluating new tools and technologies to meet requirements. Your voice and opinion be heard and expressed. We have an environment that thrives on the fact that people’s experiences and skillset variation create better solutions. You will contribute code and participate in code reviews; you will break down user stories into technical tasks and requirements; and you will identify, communicate, and escalate risks when appropriate.