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Data Engineering Manager

About Cylinder

Founded in 2021 and offered as an employer benefit, Cylinder (formerly Vivante Health) delivers personalized, clinician-backed care to those suffering from digestive issues through its virtual health platform. Cylinder’s tech-forward, human-first program connects members to the right level of support at the right time through an easy interface, bringing the healthcare ecosystem together to align around member needs. Cylinder’s dedicated care teams help members proactively address their gut health from every angle – decreasing costs, reducing absenteeism, and improving their quality of life, at scale. Cylinder’s vision is to create a world where people receive convenient, personalized, and affordable access to the quality digestive healthcare they need to improve their overall health.

Position Summary

We are seeking a Data Engineering Manager to play a crucial role in leading the strategy and day-to-day execution for our data engineering organization. Your team will "own" our Data Warehouse, collaborating closely with our Data Science and Software Engineering teams to enhance our product, and support the operational data needs of our strategic Insights, Marketing, and Finance teams. Additionally, you will build and mentor a high-performing team, ensuring that our data systems and solutions align with our mission to improve healthcare outcomes.

This is a hands-on role; the ideal candidate will have high overlap with our Data Engineering toolstack (GCP, DBT, Airflow, Python) and be comfortable supporting their team via regular code reviews and contributing to the code base. This role is also highly collaborative and necessitates working closely with other Engineering teams, and fostering close partnerships with the Product, Clinical, Operations and Finance teams. Your work will empower Cylinder Health to harness the power of data for actionable insights, operational efficiency, and cutting-edge innovations in healthcare.

Why This Role is Exciting

  • Impactful Problem Domain: You’ll drive innovation by integrating and analyzing diverse datasets—including patient health records, lab results, medical claims, and population health data—to create groundbreaking insights that improve healthcare outcomes.

  • Early-Stage Influence: It’s still early enough that there are many decisions and discoveries to be made. This is your opportunity to shape the future of our data ecosystem.

  • Mission-Driven Culture: Join a team that’s passionate about improving clinical outcomes for members and advancing the field of GI health.

Key Responsibilities

Data Engineering Leadership, Strategy & Execution

  • Help define and execute on a strategic vision for data engineering that aligns with business goals.

  • Collaborate with Product and other stakeholders to define and prioritize the technical roadmap, ensuring alignment with business objectives.

  • Drive the successful execution of data engineering projects across multiple teams, including planning, resource allocation, and project management.

  • Continue to mature data engineering best practices towards test-based development and automation,

Data Infrastructure & Engineering

  • Oversee the development and maintenance of scalable, reliable data pipelines and infrastructure.

  • Ensure efficient data ingestion, transformation, and storage solutions that support analytics and machine learning models.

  • Lead efforts to integrate various data systems and platforms to create a unified patient centered dataset.

Data Governance

  • Establish and enforce best practices for data quality, privacy, security, compliance (e.g., HIPAA) and ethical data usage.

  • Improve operational efficiency by ensuring a 'single source of truth' for all analytics data. 

Team Building & Mentorship

  • Build and grow a high-performing team of data engineers.

  • Foster a culture of innovation, continuous learning, and collaboration within the organization.

  • Provide mentorship and clear career growth paths for team members.

You’ll Be a Good Fit Here If You Are:

  • A Team Player: You thrive in cross-functional environments and enjoy collaborating closely with stakeholders across disciplines.

  • Security-Oriented: You prioritize the stewardship of sensitive healthcare data, ensuring privacy and compliance at all times.

  • Comfortable with Ambiguity: You excel in startup environments where roles and challenges evolve quickly.

  • A Creative Problem Solver: You bring innovative solutions to complex problems and execute them effectively.

Desired Qualifications:

  • Proven experience (5+ years in Data or other Software Engineering with 2+ years in Data Engineering leadership roles), with a track record of successfully delivering complex software projects.

  • Strong, hands-on expertise in modern data engineering tools and frameworks (e.g., DBT, Airflow, Google Cloud Platform), with a focus on scalability and operational excellence.

  • Exceptional leadership and team-building skills, with the ability to motivate, mentor and inspire technical teams.

  • Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams, business partners, and vendors alike.

  • Experience working in a HIPAA regulated environment (or other regulated industry) and supporting data security and privacy controls.

  • Strong problem-solving and decision-making abilities.

  • Demonstrated experience building and supporting Data Warehouse solutions.

  • Strong drive for automated testing.

Bonus Qualifications

  • Familiarity with healthcare data standards such as FHIR, OHDSI, or similar.

  • Experience in a startup environment.

  • Advanced degree in Data Science, Computer Science, or a related field

What You Should Know About Data Engineering Manager, Cylinder Health

Cylinder is on the lookout for a passionate Data Engineering Manager to spearhead our data engineering organization and help shape the future of healthcare! As a vital player at Cylinder, formerly known as Vivante Health, you will oversee the strategy and daily execution of our data initiatives, enhancing our virtual health platform dedicated to improving digestive health. You'll lead a talented team that's responsible for our Data Warehouse, collaborating with data scientists and software engineers to drive operational efficiency and insights for our marketing, finance, and product teams. We're excited for you to bring your hands-on expertise with GCP, DBT, Airflow, and Python to the table, as well as your leadership skills to coach and nurture a high-performing team. Your work will not only involve developing and maintaining scalable data pipelines but also ensuring compliance, data quality, and the ethical use of sensitive information. If you are a team player who thrives in collaborative environments and enjoys tackling complex data challenges, this role is perfect for you. At Cylinder, we are committed to creating a culture of innovation and continuous learning, making this an incredible opportunity to contribute to impactful solutions in healthcare while growing your career.

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

As a Data Engineering Manager at Cylinder, your primary responsibilities include defining and executing a strategic vision for data engineering that aligns with the company's goals. You'll work closely with cross-functional teams to manage projects, oversee the development of scalable data pipelines, ensure compliance with data governance standards, and foster a culture of continuous learning and innovation within your team. Additionally, you will play a key role in mentoring team members and driving best practices in data engineering.

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

To qualify for the Data Engineering Manager role at Cylinder, candidates should possess over 5 years of experience in data or software engineering, with at least 2 years in a leadership role. Strong hands-on expertise in modern data tools such as DBT, Airflow, and Google Cloud Platform is essential. Leadership skills, exceptional communication abilities, and experience in a HIPAA-regulated environment are also key requirements for this position, along with proven experience in building Data Warehouse solutions.

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What makes the Data Engineering Manager role at Cylinder unique?

The Data Engineering Manager role at Cylinder is unique due to its impactful problem domain within the healthcare industry. You will have the opportunity to integrate and analyze diverse datasets to generate insights that improve healthcare outcomes. Additionally, as an early-stage employee, you will have a significant influence on shaping the data ecosystem and strategic direction of the company. Working closely with various teams in a mission-driven culture also adds to the excitement of this role.

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How does Cylinder support the professional growth of its Data Engineering team?

At Cylinder, the professional growth of our Data Engineering team is a top priority. As a Data Engineering Manager, you’ll foster a culture of innovation and collaboration, providing mentorship and clear career growth paths for your team members. Cylinder encourages continuous learning through training opportunities, hands-on project experiences, and by creating an environment where employees can explore new technologies and approaches to data engineering.

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What is the team culture like for the Data Engineering Manager at Cylinder?

The team culture at Cylinder for the Data Engineering Manager role is collaborative, innovative, and mission-driven. You will work hand-in-hand with cross-functional teams, encouraging open communication and teamwork to meet common goals. Our team values creativity and embraces the challenges that come with a startup environment, making it an exciting place to grow both personally and professionally while contributing to meaningful improvements in healthcare.

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Common Interview Questions for Data Engineering Manager
Can you describe your experience with leading data engineering teams?

When answering this question, focus on specific examples of how you have successfully led teams in the past. Mention your leadership style, any mentorship initiatives you've implemented, and how you have aligned your team's goals with the overall business objectives. Highlight measurable outcomes that resulted from your leadership, such as improved project delivery times or increased team satisfaction.

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What data engineering tools and frameworks are you proficient in?

Be prepared to discuss your expertise in individual tools and frameworks such as DBT, Airflow, and Google Cloud Platform. Share specific examples of projects where you utilized these tools, emphasizing how you solved problems or improved processes through your technical skills. Highlight your proficiency in creating scalable and reliable data systems.

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How do you ensure data quality and compliance in your projects?

It's crucial to demonstrate your understanding of data governance and compliance, particularly in a regulated industry like healthcare. Discuss methods you've implemented to maintain data quality, such as validation checks, automated testing, and compliance protocols. Give examples of how you've tackled potential data risks and ensured adherence to regulations like HIPAA.

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How do you prioritize data engineering projects in response to business needs?

Discuss your approach to project management and how you work with stakeholders to establish priorities. Highlight your ability to analyze business needs, weigh project impacts, and allocate resources effectively. You might also want to mention any tools or methodologies, such as Agile or Scrum, that you use to streamline project execution.

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What strategies do you use to mentor junior data engineers?

Outline your commitment to mentorship and how you approach developing junior engineers. Share specific strategies such as one-on-one coaching, peer reviews, and creating opportunities for hands-on learning through real projects. Discuss how you cultivate an environment of continuous feedback and prioritize professional growth for team members.

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Can you discuss a challenging data engineering project you've managed?

Use this question to showcase your problem-solving skills. Describe the project, the challenges you faced, and the strategies you implemented to overcome obstacles. Focus on results - how the project impacted the business, what you learned from the experience, and how you would approach similar challenges in the future.

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What are your views on the future of data engineering in healthcare?

Express your insights on emerging trends in data engineering, especially in healthcare. Discuss innovations like real-time data analytics, machine learning applications, and the importance of data interoperability. This is an opportunity to convey your vision and how you see your role contributing to the evolution of healthcare through data.

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How do you handle conflicts within your team?

Explain your conflict resolution approach. Discuss the importance of open communication, transparency, and fostering a supportive environment. Highlight specific scenarios where you successfully navigated disagreements and turned them into productive discussions.

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What methods do you utilize to foster a culture of innovation in your team?

Mention various initiatives you could implement, such as hackathons, brainstorming sessions, or encouraging team members to propose experimental projects. Emphasize the importance of creating an environment where creative ideas are welcomed and explored, leading to innovative solutions in data engineering.

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Why do you want to work at Cylinder as a Data Engineering Manager?

Your answer should reflect a genuine interest in Cylinder's mission to improve healthcare through innovative data solutions. Talk about how the company's values align with yours and your excitement about the opportunity to influence an early-stage company in an impactful way. Mention that you admire their tech-forward, human-first approach to healthcare.

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Cylinder offers Individualized, clinician-backed care for all digestive health needs, all in one digital platform.

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Full-time, remote
DATE POSTED
April 22, 2025

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