Senior Data Engineering Manager

4 weeks ago

Chicago, United States PatientIQ Full time

Are you interested in building the future of healthcare and transforming the patient experience? Are you hopeful about what data and medical research can do to improve medicine? We’re looking for a Sr. Manager, Data Engineering to ensure PatientIQ remains on the forefront of using data to drive positive healthcare outcomes.

As the manager for our Data Engineering Team, you will lead a team in a dynamic environment that works cross-functionally with all other departments, such as Engineering, Product, Customer Success, and Sales. You will work on a broad array of problems that rely heavily on solid data engineering principles being in place: business intelligence, data science, and software engineering. We heavily value diligence, curiosity, and initiative, as those are key to unlocking the value of PatientIQ's data for our users and our decision-making. Your work will be impactful across the entire organization.

Role Responsibilities

  • Coordinate engineering efforts to positively impact the lives of our customers and their patients.
  • Facilitate engineering team meetings and remove roadblocks for the team. Run standups and train others to do the same.
  • Work with product managers and other engineering team leads to advocate for new product features.
  • Report on project statuses to the company.
  • Evangelize our software development best practices within the team.
  • Perform peer code reviews to ensure the team is producing well-tested and maintainable code.
  • Mentor team members on your direct team, as well as others.
  • Planning for new hires, recruiting, hiring, and training Data Engineering team members
  • Develop and maintain ETL infrastructure to support the ingestion of external data sources.
  • Build and maintain tools necessary to ingest new customer data.
  • Define and implement key metrics for PatientIQ's data warehouse.
  • Help scale PatientIQ's data strategy as the platform and business grows.

Ideal Qualifications

  • Experience leading a team of data engineers or software engineers.
  • Experience with PostgreSQL, Redshift, Looker, Tableau, Metabase, or similar.
  • BS/MS in Computer Science, Engineering, Mathematics, or related field.
  • Deep knowledge of SQL and at least one database technology.
  • Proficient in Python or Ruby a plus.
  • Experience with version control systems (e.g. git) and writing reusable and extensible code.
  • Highly self-motivated with strong analytical problem-solving skills and attention to detail.
  • Ability to manage complex technical projects while maintaining a consistent, engaged presence with your team

Nice to Haves

  • Experience with workflow management systems.
  • Experience designing, building, and maintaining ETL infrastructure in a production setting.
  • Experience in machine learning and/or business intelligence.
  • Experience with ETL tools like Apache Kafka, Logstash, Segment, or Informatica.
  • Experience with cloud technologies such as AWS, Google Cloud Platform, or Azure.
  • Experience working in Healthcare, Finance or another regulated industry.

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