Engineering Manager, Data Platforms (Remote)
Company: Qventus, Inc
Posted on: January 16, 2022
Qventus provides a real-time decision-making platform for hospital
operations. Our mission is to simplify how healthcare operates, so
that hospitals and caregivers can focus on delivering the best
possible care to patients. We use artificial intelligence and
machine learning to create products and solutions that help nurses,
doctors, and hospital staff anticipate issues and make operational
decisions proactively. We work with leading public, academic and
community hospitals across the United States.
Qventus works with leading public, academic and community hospitals
across the United States. The company was recognized by the 2019
Black Book Awards in healthcare for patient flow and by CB Insights
as a 2019 top 100 Most Promising Company in Artificial
Intelligence. Recently, Qventus won the Robert Wood Johnson
Foundation Emergency Response for the Healthcare System Innovation
Challenge through its work helping health systems across the
country plan for and operate in the COVID pandemic.
Qventus is looking for an Engineering Manager for our Data Platform
team to help build the next generation of our data infrastructure
and pipelines. The Data Platform team acts as stewards for Qventus'
data. We stream hospital EMR data to our core warehouses in
real-time, build out curated data layers to power our Healthcare
AI, design and implement patterns to ensure the security of patient
(HIPAA) data, and overall ensure Qventus data users have the tools
they need to explore and power the Qventus product at scale and
cost to improve the lives of patients and doctors across the
As an Engineering Manager, you will leverage your existing
experience, intuition, and empathy for data users to lead our Data
Platform team. You will motivate and foster team development. You
will have the ability to make a direct impact on the company by
improving the quality of healthcare operations. You will be
comfortable designing, supporting, and managing cross-functional
initiatives with technical and non-technical stakeholders as well
as taking on day-to-day business-impacting workloads when needed.
This role will require someone with a keen eye for breaking down
the tradeoffs between stability and pragmatic needs, and who can
translate this internally and externally to the Engineering org and
Lead and champion key initiatives from ideation, through design, to
implementation to improve the end-to-end workflow of data users at
Qventus, ensuring a high performing, scalable data
Collaborate with non-technical partners to distill requirements,
challenges, and outcomes into technical, well-defined, and
communicated initiatives for the team.
Hands-on support in day-to-day development needs (expect at least
30-50% IC workload).
Work within the team and the broader R&D organization to
curate, distill, and drive economies of scale that can drive the
team forward efficiently and raise engineering standards.
Mentor and coach team members to motivate high performance, growth,
and long-lasting Qventus careers.
Master's degree in Computer Science, Engineering, or related field,
or equivalent training/experience.
2+ years managing and growing data-focused engineering teams in a
fast-paced start-up environments.
Strong business acumen with practical experience working closely
with data science and analytics partners.
Experienced hands-on developer skills, can dive into the weeds to
support the team where needed for complex system design or routine
implementations; SQL required, Python preferred.
Demonstrated ability to lead the architectural discussion and break
down complex technical components for technical and non-technical
Defined philosophy on software development and operational
excellence - clean code, release management / CICD.
Dedication to mentoring and coaching to help mature our technical
team and proven ability to drive high quality engineering discourse
Nice to have's:
Functional practice with scrum team management and Jira or similar
work tracking system.
Design experience in data modeling and transformation pipeline
design using modern data technologies: DBT, Snowflake, Airflow,
Experience building and maintaining robust and efficient backend
data systems with functional proficiency with AWS cloud services
and infrastructure as code technologies (Terraform).
Practical hands on experience with building large-scale, high
complexity metrics and monitoring (ELK. Kibana, Datadog).
Practical hands on experience with data visualization tools
(Tableau, Looker preferred).
Practical hands on experience with data science and machine
learning pipelines (Sagemaker, NLP, Tensorflow).
Qventus is an equal opportunity employer. All qualified applicants
will receive consideration for employment without regard to age,
ancestry, color, family or medical care leave, gender identity or
expression, genetic information, marital status, medical condition,
national origin, physical or mental disability, political
affiliation, protected veteran status, race, religion, sex
(including pregnancy), sexual orientation, or any other
characteristic protected by applicable laws, regulations and
Candidate information will be treated in accordance with our
candidate privacy notice which can be found here:
Keywords: Qventus, Inc, Boston , Engineering Manager, Data Platforms (Remote), Engineering , Boston, Massachusetts
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