Senior Data Engineer

As a Senior Data Engineer at Modern Health, you will design and maintain scalable data pipelines and ETL processes, collaborate with data scientists to understand data requirements, optimize data systems for performance, and ensure data quality through rigorous testing and monitoring. This role requires a deep understanding of data architecture and a drive to deliver high-quality data solutions.

Candidates should have a Bachelor’s or Master’s degree in Computer Science or a related field, with 5+ years of experience in data engineering. Proficiency in programming languages such as Python and strong SQL skills are essential, alongside experience with big data technologies and cloud platforms like AWS.

Senior Data Engineers at Modern Health work with various technologies including AWS RDS, Snowflake, and Fivetran. Familiarity with tools like DBT, Prefect, Looker, and Datadog will also be beneficial in this dynamic role as you work towards improving data efficiency and effectiveness across the organization.

Modern Health is committed to the growth of its employees, providing a professional development stipend to enhance your skills further. This could include attending workshops, obtaining certifications, or investing in resources to keep you up-to-date with emerging industry trends and technologies in data engineering.

Modern Health offers a competitive benefits package that includes comprehensive medical, dental, and vision insurance, a generous time-off policy, and access to mental health resources through our platform. Moreover, you'll receive stipends for professional and wellness-related expenses, ensuring you have the resources needed for a balanced work life.

In your response, highlight specific projects where you have designed and implemented data pipelines. Discuss the technologies used, the challenges you faced, and how you ensured data integrity and performance throughout the pipeline development process.

It’s crucial to elaborate on rigorous testing strategies and monitoring systems you’ve implemented in the past. Discuss validation methods you use and your experience with data governance principles, showcasing your commitment to excellence.

Provide a rundown of your experience with big data technologies like Hadoop, Spark, or others. Explain how they allow for better data handling and analysis, and be sure to mention specific instances where these technologies effectively improved project outcomes.

Describe your approach to working with data scientists, analysts, and other stakeholders. Emphasize your communication skills, and provide examples of successful project collaborations that led to actionable insights for the business.

Focus your answer on specific cloud platforms you have worked with, such as AWS, Google Cloud, or Azure. Detail how you leveraged these platforms for data storage solutions, including data lakes and warehouses, showcasing any significant projects that exemplify your experience.

Discuss specific techniques like indexing, partitioning, or query optimization that you've deployed. Include examples of how these strategies resulted in measurable performance improvements in your past roles.

Share the resources and methods you use to stay informed, such as subscribing to relevant blogs, participating in workshops, or attending conferences. Highlight how this knowledge has been applied to your work.

Express the importance of data governance principles and how you’ve applied them in your work to ensure compliance and quality. Provide examples of policies you've enforced or frameworks you've implemented to maintain data integrity.

Use this question as an opportunity to illustrate your problem-solving skills. Detail the nature of the issue, your analysis and approach to troubleshooting, and the successful resolution and outcomes that followed.

Tailor your answer to reflect your alignment with Modern Health's mission and values. Discuss how the company’s focus on mental health resonates with you, and why you believe a data engineering role here is the perfect fit for your career aspirations.