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Data Engineering Manager

unlimited holidays
Remote: 
Hybrid
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 
Naperville (US)

Offer summary

Qualifications:

BSc in Data Engineering or related, 3+ years as a data engineer, 2+ years in management experience, Hands-on knowledge of AWS infrastructure.

Key responsabilities:

  • Build and manage data engineering team
  • Own the data engineering roadmap and budget
Endotronix logo
Endotronix SME http://www.endotronix.com/
51 - 200 Employees
See more Endotronix offers

Job description

WHO ARE WE?

 

Endotronix is a medical device company that aims to transform the treatment of heart failure, a chronic, progressive condition in which the heart is unable to pump enough blood to support the body.  Our Cordella Heart Failure System (CHFS) includes proactive management tools for best practice care and detection of worsening heart failure.   These easy-to-use tools improve patient quality of life and help to reduce hospital admissions thereby reducing health care costs.  With our recent PMA approval from the FDA and acquisition by Edwards Lifesciences, we are growing our team – it’s a great time to join Endotronix!

 

WHAT YOU’LL DO

 

As the company grows, we are looking for an enthusiastic and motivated manager for our growing data engineering team. This is a largely greenfield infrastructure with a small team. You will build, mold and grow your ideal team to deliver a robust and scalable data engineering infrastructure. Our rich, unique and rapidly growing dataset offers the opportunity for innovative solutions with massive impact on patients’ daily lives. This is a people management role and you will be tasked with building, leading and daily management of the Data engineering team. This will encompass all aspects to ensure the success of the team in building and maintaining a reliable infrastructure including giving direction, strategy and structure to the team.  This is a hybrid role based in Naperville, Illinois. Your responsibilities will include:

  • Hire, build and grow the data engineering team. Multiple requisitions approved for FY’25
  • Manage, mentor and guide team members to excel at their roles. Handle career development and annual reviews.
  • Own the data engineering roadmap & budget. 
  • Contribute and constructively challenge technical proposals & requests
  • Steer, manage and prioritize the Data Engineering Teams workload & projects. Manage the teams project backlog. 
  • Liaise with immediate teams (Data Science, Data Analytics) and external groups to understand needs and requests.
  • Implement systems and processes to ensure robust, reliable & scalable infrastructure.
  • Demonstrate good data governance practices and approaches equivalent to the risks and needs of the team. 
  • Ensure the highest levels of confidentiality and sensitivity for dealing with Patient Health Information [PHI] 

WHAT YOU BRING TO THE TABLE

  • 2+ years’ experience as a data engineering or software manager
  • 3+ experience as a data engineer or software developer
  • Previous hands-on knowledge of data engineering & cloud infrastructure (AWS EC2, S3, Lambda etc)
  • Eligible to work in the US and travel occasionally to the EU 

EDUCATION

  • BSc (MSc Preferred) in advanced degree: data engineering, software development, engineering, mathematics, physics or similar


WHO YOU ARE

  • Relentlessly focused on data and hypothesis driven decision making to create the best experiences for ETX patients and customers
  • Someone with a bias for action and quick iteration as opposed to perfection
  • A quick learner, who is able to work independently, multitask, and drive your own projects
  • An effective communicator and collaborator who can synthesize insights from multiple stakeholders across business functions to deliver purpose-built insights, models and tools that provide easily interpretable and actionable results
  • A team player who can inspire teams to deliver together, embodying the idea that the whole is greater than the sum of the parts
  • Passionate about digital healthcare and leveraging Data to deliver innovative solutions at scale 

WHAT WE’RE LIKE

  • Willing to have the “direct and honest conversation”. Not afraid to confront the facts (or be confronted) and develop a plan to move forward. 
  • Competitive spirit and drive to win. Strong sense of initiative, internal motivation, and an unrelenting focus on results. 
  • Openness to feedback and coaching with a strong orientation towards continual learning and improvement. Ability to solicit, accept and provide direct feedback without defensiveness. 
  • Capacity to function in a highly complex company with ease and fluidity, while driving and influencing results. 
  • Entrepreneurial, flexible, yet results focused. 
  • High degree of intellectual curiosity, honesty, and capability. 
  • Low ego and humble in spirit in spite of your track record of outstanding performance.  

LIFE AT ENDOTRONIX

  • Our shared company values create a foundation of trust and collaboration.  United in a common purpose, we excel at the task at hand to provide best-in-class medical technology and customer service to our patients and clinicians.  And along the way we make sure to have a little fun, continue to grow and celebrate our successes.
  • We provide a competitive compensation package, comprehensive benefits including unlimited PTO, and an environment that will help you to thrive and succeed in your career.
  • Endotronix is an equal opportunity employer, and we are committed to providing equal employment opportunities to all persons without regard to race, creed, color, religion, national origin, gender, marital status, citizenship status, age, veteran status, or disability.  We are passionately committed to building a diverse organization where all perspectives and cultures are celebrated.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Communication
  • Problem Solving
  • Decision Making

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