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Manager, Data Engineering

Job Scam Alert:

Please be cautious of job scams where individuals may contact you through text or other messaging platforms. BioIntelliSense exclusively uses email addresses ending inmail@hire.lever.co 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 hr@biointellisense.com 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)


$175,000 - $220,000 a year

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.

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CEO of BioIntelliSense
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James Mault, MD
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Average salary estimate

$197500 / YEARLY (est.)
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$175000K
$220000K

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What You Should Know About Manager, Data Engineering, BioIntelliSense

Join the innovative team at BioIntelliSense as a Manager, Data Engineering! In this exciting role, you'll lead our talented data engineering team, overseeing the creation and maintenance of high-quality data assets and analytics tools. At BioIntelliSense, we’re dedicated to transforming healthcare with cutting-edge technology, and we want you to play a crucial part in that journey. You’ll ensure our scalable data infrastructure can seamlessly integrate new data sources to empower all internal and external customers. Collaborating with various teams across the company—including Data Science, Commercial, Finance, and Operations—you’ll help us drive data-driven decision-making to improve patient care. Your responsibilities will include managing the end-to-end data platform, from initial logging to eventual consumption by users, and continuously enhancing our data engineering practices. You’ll also be in charge of developing maintenance procedures for our data pipelines and warehousing solutions, while promoting data quality and security throughout the organization. With a strong background in big data technologies like Spark and Kafka, along with proficiency in SQL and cloud-based solutions, you will be instrumental in bringing projects to life. If you're passionate about making an impact in the healthcare industry and eager to work with a fast-growing company, this opportunity is for you!

Frequently Asked Questions (FAQs) for Manager, Data Engineering Role at BioIntelliSense
What are the responsibilities of the Manager, Data Engineering at BioIntelliSense?

The Manager, Data Engineering at BioIntelliSense is responsible for leading the data engineering team, ensuring the establishment and maintenance of high-quality data assets and analytics tools, and overseeing the end-to-end data platform. This includes managing data pipelines, warehousing solutions, and fostering collaboration with various departments like Data Science and Operations to enable effective data-driven decisions.

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What qualifications are required for the Manager, Data Engineering position at BioIntelliSense?

To qualify for the Manager, Data Engineering role at BioIntelliSense, candidates should possess a Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field (Master's preferred) along with 5+ years of experience in data infrastructure. Proficiency in big data technologies, cloud-based solutions, and strong SQL knowledge are essential, alongside the ability to lead teams and communicate effectively.

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How does the Manager, Data Engineering contribute to BioIntelliSense's mission?

The Manager, Data Engineering plays a vital role in advancing BioIntelliSense's mission by ensuring the organization has a robust and scalable data infrastructure. This allows for better access to clinical data and insights, contributing to improved patient care through timely and data-driven decision-making. The manager will also promote data governance and integrity across the organization.

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What kind of technologies will the Manager, Data Engineering use at BioIntelliSense?

In the Manager, Data Engineering position at BioIntelliSense, you'll work with various cutting-edge technologies such as Spark (Databricks), Kafka (Confluent), and cloud services (AWS, GCP, Azure). You'll also utilize industry-standard reporting tools like Qlik or QuickSight to create effective solutions and enhance analysis capabilities across the organization.

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What benefits can I expect as a Manager, Data Engineering at BioIntelliSense?

As a Manager, Data Engineering at BioIntelliSense, you will enjoy comprehensive benefits, including medical, dental, and vision insurance, life and disability coverage, a 401(k) auto contribution program, generous paid time off, and 11 paid holidays per year. Additional perks include a weekly lunch program- fostering a great work environment!

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Common Interview Questions for Manager, Data Engineering
Can you describe your experience with data pipeline development?

When answering this question, detail specific projects where you’ve designed or maintained data pipelines. Highlight the technologies you used, the challenges faced, and how you optimized the pipelines for performance and reliability. Relate your experience back to the specific requirements of the Manager, Data Engineering role.

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How do you ensure data quality and integrity within a team?

Discuss the tools and processes you've implemented to maintain data quality. Include examples of data governance policies or compliance measures to demonstrate your proactive approach to ensuring data integrity, especially in a healthcare environment.

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What big data technologies are you most familiar with?

Identify specific technologies like Spark or Kafka that you have experience with, and explain how you used them in previous roles. Discuss why you favor these technologies, mentioning their advantages in data engineering projects.

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How do you approach cross-functional collaboration?

Explain your strategies for fostering collaboration across departments. Provide examples of how you've previously worked with data science, commercial, or finance teams to solve problems together and highlight the importance of effective communication.

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What are some challenges you anticipate in managing a data engineering team?

Speak about potential challenges such as integrating new data sources or managing evolving team dynamics. Offer examples of how you have successfully tackled these challenges in the past, showcasing your leadership skills.

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What strategies do you use for prioritizing tasks within your team?

Describe your process for assessing business value and urgency when prioritizing tasks. Provide examples of how you’ve balanced multiple projects simultaneously while delivering results that align with organizational goals.

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Can you give an example of a problem that required deep data analysis?

Share a specific instance where you engaged in complex data analysis that led to valuable insights or decisions. Outline the steps you took, the methodologies used, and how those insights benefited the organization.

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How do you stay current with data engineering best practices?

Discuss your commitment to professional development, mentioning conferences, certifications, or online courses you pursue. Highlight any communities or networks you engage with to share knowledge and stay up-to-date with industry standards.

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What is your experience with data privacy laws, especially in healthcare?

Address your knowledge of HIPAA and other relevant regulations, emphasizing any previous roles where you ensured compliance. Explain how you navigate the regulations while maintaining a strong focus on data management and engineering.

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What do you find most exciting about the role of a data engineering manager?

Articulate your passion for leadership and innovation in data engineering. Speak about the impact that effective data management has on healthcare and how you envision contributing to BioIntelliSense's mission of transforming patient care.

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To make medical grade health monitoring and clinical intelligence ubiquitous and scalable

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Full-time, on-site
DATE POSTED
March 20, 2025

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