Staff Software Engineer, Data

As a Staff Software Engineer, Data at Paradigm, your responsibilities include designing robust data models, developing batch and streaming pipelines, and optimizing data accessibility for various teams. You will also oversee technical architecture, facilitate cross-team collaboration, and mentor engineering staff to ensure a continuous improvement mindset.

To qualify for the Staff Software Engineer, Data role at Paradigm, you should have at least 8 years of software engineering experience with a focus on data technologies. Strong expertise in SQL, cloud environments, and distributed systems is essential, along with proficiency in coding languages like Python and experience with data warehousing technologies such as Snowflake or BigQuery.

At Paradigm, ensuring data privacy and security is a top priority. As a Staff Software Engineer, Data, you will collaborate with cross-functional teams to implement governance practices that protect sensitive information while maintaining accessibility for product development. Your role includes advocating for best practices in data security throughout the organization.

As a Staff Software Engineer, Data at Paradigm, you'll have the opportunity to mentor junior engineers and foster their professional growth. By guiding them through complex technical challenges and promoting a culture of learning, you will contribute to the development of a strong, skilled engineering team committed to our mission.

In the role of Staff Software Engineer, Data at Paradigm, you will utilize various technologies including SQL, Python, ETL orchestration tools like Apache Airflow, and data transformation tools such as dbt. Moreover, you will work within cloud infrastructures, enhancing your expertise in distributed systems and data warehousing technologies like Redshift and Snowflake.

In your response, highlight specific SQL projects you've worked on, emphasizing how you've used it to analyze data and optimize processes. Mention any complex queries you've crafted and the impact of your work on previous projects.

Discuss your methodology for data modeling, including how you assess data requirements, ensure performance, and maintain accessibility. Share examples of previous data models you've created and any frameworks you've followed.

Elaborate on your hands-on experience with cloud platforms, detailing the projects you’ve worked on and the skills you’ve acquired. Explain how these experiences will allow you to contribute effectively to Paradigm's cloud-based data solutions.

Your answer should outline your understanding of data governance frameworks, compliance standards, and best practices. Provide examples of how you've implemented security measures in past projects to safeguard sensitive data.

Share a story that illustrates your mentoring style, the growth of the engineer you mentored, and the positive outcomes that followed. Highlight the skills you emphasized in their development.

Discuss specific techniques you've applied in previous roles to enhance the efficiency of data pipelines. Include any tools or practices you've found effective, such as implementing monitoring systems or employing distributed processing.

Explain your approach to facilitating technical discussions, aligning team goals, and making collaborative decisions. Offer examples of past situations where you've successfully guided teams through complex technical challenges.

Share your personal connection or interest in healthcare data and explain how the ability to impact patient outcomes through technology drives your passion. Discuss how this aligns with Paradigm's mission.

Present a specific challenge that required your technical skills. Walk through the problem, your thought process, the solution you implemented, and the insights you gained from the experience.

Discuss your methods for staying informed, whether through online courses, attending conferences, engaging with professional communities, or reading industry publications. Highlight how you apply new knowledge to your work.