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Data & Backend Engineer

About 9amHealth

We’re creating a new standard of care.

9amHealth is specialized cardiometabolic care —a first-of-its-kind, whole-body approach to preventing and treating obesity, diabetes, high blood pressure, and high cholesterol, and help with weight management. We offer custom care plans, prescription medications, and expert guidance to help our members live healthier every day.

9amHealth was founded in 2021 by the team behind mySugr (acquired by Roche in 2017) and has brought together a team of leaders from across cardiometabolic healthcare along with the backing of leading investors like Cigna Ventures, 7Wire Ventures, and Founders Fund.

Data & Backend Engineer

What it is

The Data & Backend Engineer at 9amHealth is a multifaceted role that bridges the gap between robust data infrastructure and high-performance product development. You’ll architect scalable data pipelines and maintain our cloud-based data systems, while also contributing to the operational backend codebase that powers our healthcare platform. In this role, you will ensure that data is available to make meaningful business decisions and fulfill business reporting needs. You ensure a full data lifecycle ranging from collection, cleaning, maintenance, usage,  and disposal. You work with other teams (business, finance, clinical) to understand their data needs and make information available to them. 

What you’ll do

  • Design & Build Data Pipelines: Architect, develop, and maintain scalable data pipelines and infrastructure using AWS S3, MySQL, and AWS Glue, to enable seamless data ingestion, transformation, and storage.

  • Develop Backend Systems: Build, enhance, and maintain backend services and APIs that support our operational database and product functionality.

  • Collaborate Across Teams: Partner closely with Data Analysts and product developers to define data models, refine data workflows, and enhance our overall codebase.

  • Optimize & Automate: Implement best practices for ETL processes and backend development, ensuring system performance, reliability, and data integrity.

  • Innovate Continuously: Stay abreast of emerging technologies and trends in both data engineering and backend development to drive continuous improvement and innovation across our platform.

What you’ll need

  • Experience: A minimum of 5 years of hands-on experience in data engineering, backend development, or a hybrid role—experience within high-growth health tech environments is a significant plus.

  • Technical Expertise:

    • Strong proficiency with AWS S3, MySQL, and AWS Glue, as well as other relevant technologies, for building and optimizing data pipelines.

    • Proficiency in Python, Pandas, Dataframes etc. 

    • As a plus: solid experience with backend development frameworks (Java/Spring Boot or others) and a good grasp of backend architectures

  • Analytical & Collaborative: Excellent problem-solving skills with the ability to work cross-functionally in a fast-paced, agile environment.

  • Proactive Attitude: A passion for innovation and continuous learning, with a drive to implement and optimize new technologies that enhance both our data ecosystem and product infrastructure.

What you can expect at 9amHealth

At 9amHealth, you’ll join the dynamic environment of a startup backed by the stability of highly experienced founders who have successfully built businesses from scratch. We foster a collaborative, learning-focused mindset and a passion for continuous improvement. You’ll work alongside a passionate and dynamic team of individuals eager to shape technology, infrastructure, and culture.

Our team members are spread across the globe, with physical offices in San Diego, California, and Vienna, Austria. We value and celebrate your unique culture, no matter where you work.

We offer competitive compensation and benefits, including health, vision, and dental plans, as well as 20 vacation days for full-time employees. Our working model is flexible for certain positions, with some employees working remotely and others based in the office. However, we prefer candidates who can be based in our San Diego office.

Our commitment to diversity and inclusion 

Diabetes disproportionately impacts BIPOC (black, indigenous, and people of color) communities. We are committed to creating a workforce that reflects our patients and creating a positive healthcare experience for them. We welcome applications from people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, and foreign-born residents.

Average salary estimate

$115000 / YEARLY (est.)
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$100000K
$130000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data & Backend Engineer , 9amHealth

At 9amHealth, we are on a mission to set a new standard of care for cardiometabolic health, and we are looking for a talented Data & Backend Engineer to join our innovative team. In this dynamic role, you will be at the intersection of data infrastructure and product development, crafting scalable data pipelines while maintaining our robust cloud-based systems. Your expertise will ensure that our team has access to precise data for critical business decisions and reporting needs. You'll design and build data pipelines using AWS S3, MySQL, and AWS Glue, and enhance backend services that keep our healthcare platform running smoothly. Collaboration is key, as you will partner with Data Analysts and product developers to refine data models and workflows. With at least five years of experience under your belt, you will be well-versed in the technical nuances of AWS technologies and Python programming. At 9amHealth, you'll thrive in a startup environment that encourages continuous learning and innovation, allowing you to stay ahead of industry trends. We value diversity and foster a culture of inclusivity, offering competitive compensation and flexible work arrangements. Join us in redefining healthcare and making a real impact on lives every day!

Frequently Asked Questions (FAQs) for Data & Backend Engineer Role at 9amHealth
What are the responsibilities of a Data & Backend Engineer at 9amHealth?

As a Data & Backend Engineer at 9amHealth, your key responsibilities include architecting and maintaining scalable data pipelines, developing backend systems and APIs, and collaborating across teams to ensure data availability and integrity. You will also implement best practices for ETL processes and continuously innovate by keeping up with emerging technologies.

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What requirements are needed to apply for the Data & Backend Engineer position at 9amHealth?

To apply for the Data & Backend Engineer position at 9amHealth, you should have at least five years of hands-on experience in data engineering or backend development. Proficiency with AWS S3, MySQL, and AWS Glue is essential, along with programming skills in Python and familiarity with backend architectures.

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How does 9amHealth support cross-team collaboration for the Data & Backend Engineer role?

At 9amHealth, cross-team collaboration is vital for the success of the Data & Backend Engineer role. You will partner closely with Data Analysts and product developers to understand their data needs, enhance data workflows, and refine data models to ensure that our healthcare platform meets high standards.

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What programming languages are most relevant for a Data & Backend Engineer at 9amHealth?

For a Data & Backend Engineer at 9amHealth, proficiency in Python is crucial, particularly with libraries like Pandas and DataFrames for data manipulation. Additionally, experience with Java or Spring Boot frameworks can be a valuable asset for backend development tasks.

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What can a new Data & Backend Engineer expect from the work culture at 9amHealth?

A new Data & Backend Engineer at 9amHealth can expect a collaborative and learning-focused work culture. We value innovation, diversity, and inclusivity, fostering an environment where all team members can contribute to our mission of improving health outcomes.

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Common Interview Questions for Data & Backend Engineer
Can you explain your experience with AWS technologies as a Data & Backend Engineer?

When answering this question, provide specific examples of projects where you've utilized AWS services like S3 or Glue. Discuss the challenges faced during implementation and how you optimized performance. Focus on demonstrating both your technical skills and problem-solving abilities.

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How do you ensure data integrity and reliability in your projects?

For this question, outline your strategies for maintaining data integrity, such as implementing validation checks and monitoring data flows. Discuss any tools or methodologies you utilize for quality assurance and how they contribute to reliable data management.

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Describe a time you collaborated on a cross-functional team project.

Your response should highlight a specific project where you worked with different teams. Explain the roles of your teammates, your contributions, and the outcome of the collaboration. Emphasize your communication and teamwork skills throughout the process.

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What best practices do you follow in ETL processes?

Discuss the best practices you implement in ETL processes, such as efficient data extraction methods, transformation techniques, and strategies for loading data into systems. Mention how you monitor and optimize these processes for performance.

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How do you stay updated with emerging technologies in data engineering?

Talk about your broader approach to continuous learning, such as following industry leaders, participating in online courses, attending webinars, or network events. Highlight how you apply this knowledge in your work to benefit the projects you undertake.

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What backend frameworks have you worked with, and how do they compare?

When answering, provide details about the backend frameworks you've utilized, such as Java with Spring Boot. Discuss their strengths and weaknesses, giving examples of when each was most effectively implemented in your projects.

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How do you approach debugging and troubleshooting issues in your code?

Diving into debugging techniques is crucial here. Share your systematic approach to identifying, isolating, and resolving bugs. Mention tools or strategies you prefer, and illustrate with past experiences when possible.

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Can you describe your experience with building scalable data pipelines?

Your answer should cover specific technologies and methodologies used for building scalable data pipelines, emphasizing any challenges faced and how you resolved them. Detail how you ensure the pipelines' performance under varying loads.

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What role does documentation play in your workflow, and how do you approach it?

Explain the importance of documentation in your engineering practices, particularly for maintaining clear communication within teams. Discuss the specific tools you use for documentation and how you keep it updated throughout the project lifecycle.

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How do you prioritize tasks when working under tight deadlines?

Detail your task prioritization process when managing multiple projects or tight deadlines. Mention the frameworks you leverage for time management and how you communicate effectively with your team to meet project goals.

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Full-time, hybrid
DATE POSTED
February 14, 2025

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