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Biointellisense

Manager, Data Engineering

Posted 11 Days Ago
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
Oversee the data engineering team to build and maintain data infrastructure and tools for data consumers, ensuring data quality and compliance.
The summary above was generated by AI

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Please be cautious of job scams where individuals may contact you through text or other messaging platforms. BioIntelliSense exclusively uses email addresses ending [email protected] or @biointellisense.com for all communications. We do not conduct interviews via text, instant messaging, or pre-recorded video. Additionally, we will never ask candidates to download software, purchase equipment, or provide sensitive personal information, such as bank account or social security numbers.


If you are contacted by someone claiming to be a BioIntelliSense employee using a different email domain about a job offer, please report it immediately to [email protected] as potential fraud.


We exclusively post job openings on our official website, LinkedIn, JobTarget, and Indeed.



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Denver, CO based BioIntelliSense, Inc., founded in 2018, is an award-winning continuous health monitoring and clinical intelligence company.  Our market acceleration and expansion are driven by world-class executive management and a dedicated team of engineers, data scientists, commercial and operational professionals, which collectively harness decades of expertise in virtual care innovations, wearable sensor development, remote connectivity solutions and successful program execution. With these distinctive capabilities and proprietary continuous Remote Patient Monitoring (cRPM) technologies, BioIntelliSense is uniquely poised to transform care delivery from in-hospital to home.

 

The FDA-cleared and award-winning BioButton® multiparameter wearables, BioHub™ gateways, BioMobile™ downloadable applications, BioCloud™ data services and the BioDashboard™ clinical intelligence system creates a comprehensive tech-enhanced solution that makes continuous monitoring reliable and scalable. Through the platform’s AI-driven analytics, clinicians have access to high-resolution vital sign trending and data-driven insights to enable earlier detection of patient deterioration and proactive intervention for better, safer care.

 

Join the BioTeam today and create a new standard of continuous care that delivers clinical value, economic benefits and operational efficiencies for providers, patients and caregivers globally! 


The Manager, Data Engineering role will lead our data engineering team in building and maintaining high quality data assets, tools, and processes to empower internal and external customers.  This is an execution-focused role, tasked with ensuring the company is building a high-quality, scalable, and sustainable data infrastructure, that can adapt to new data sources and serve all data consumers.  This role will work cross-functionally with the Data Science, Commercial, Finance, and Operations teams to ensure our data consumers can assess clinical situations and make data-driven decisions. 

What you will be doing

  • Leading the data engineering team to build top-tier data assets and analytics tools
  • Drive continuous improvement in data engineering practices and processes.
  • Fully owning our data platform, from logging to consumption by end users as well as all the internal and external tools in between
  • Oversee the design, development, and maintenance of data pipelines and data warehousing solutions.
  • Driving team prioritization with a focus on driving business value by reducing time to insight
  • Creating the right team processes, structure, and systems to build and maintain high-quality code that powers our data infrastructure
  • Establishing and enforcing data governance and compliance policies and procedures
  • Promoting data quality, integrity, and security across the organization

What you need

  • 5+ years of experience as a technical contributor in data infrastructure and data / analytics-related roles
  • BA/BS in Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field.  MS Preferred
  • A strong foundation in data modeling, transforming business requirements into effective schemas
  • Strong experience with big data technologies such as Spark (Databricks), and Kafka (Confluent).
  • Strong proficiency in SQL and ETL processes.
  • Strong understanding of cloud-based data solutions (e.g., AWS, GCP, Azure).
  • Proficiency with industry-standard reporting tools such as Qlik, QuickSight, or similar.
  • An ability to communicate effectively with technical team members, analysts, and executives
  • An interest and ability to dive into the details of problems to resolve communication, ownership, data modeling, and other challenges
  • A strong bias for action and execution
  • Experience with data/privacy laws in healthcare (e.g. HIPAA)

You'll be excited about this opportunity because you will:


- Join a fast-growing company and grow right along with us

- Work on challenging and interesting tech problems which reshape the future of healthcare

- Get the chance to work on cutting-edge technologies

- Make a large impact across the company through business deliverables and continuous innovation

- Opportunity to build solutions and organizations


Why You'll Love Working at BioIntelliSense


We are leaders - Leadership is not limited to our management team. It's something everyone at BioIntelliSense embraces and embodies.


We are doers - We believe the only way to predict the future is to build it. Creating solutions that will lead BioIntelliSense and healthcare industry is what we do.


We are learning - We're not afraid to dig in and uncover the truth, even when it's inconvenient. Everyone here is continually learning on the job.


We have great benefits - Medical/Dental/Vision/Life, disability (STD & LTD), 401(k) auto contribution program, 11 paid holidays per year, generous paid time off and a weekly lunch perk.


BioIntelliSense is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran, disability status or any other status protected under federal, state or local law.

Top Skills

AWS
Azure
Confluent
Databricks
GCP
Kafka
Qlik
Quicksight
Spark
SQL

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