Data Ops Engineer

As a Data Ops Engineer at Deep 6 AI, your primary responsibilities include overseeing the execution of our data pipeline, enhancing pipeline health through monitoring and visualizations, ensuring high data quality, and collaborating with cross-functional teams. You'll react swiftly to any issues while continuously improving our data processes to help advance our AI-driven clinical trial platform.

To apply for the Data Ops Engineer position at Deep 6 AI, you should have experience operating data pipelines, preferably in a similar company size or larger. Strong proficiency in JVM languages, particularly Kotlin, and familiarity with cloud-based platforms like AWS are critical. Experience with Python, an understanding of clinical data concepts, and a collaborative mindset will make you an ideal candidate.

Data Ops Engineers at Deep 6 AI utilize a variety of tools and technologies, including monitoring and alerting systems, dashboarding for visualization, and cloud services like AWS. Knowledge of search frameworks such as Elasticsearch or OpenSearch and familiarity with machine learning methods also enhances your capabilities in this role.

Yes, Deep 6 AI offers the flexibility of remote work for the Data Ops Engineer position. We have fully remote teams throughout the country, allowing you to work from the location that best suits your individual needs while being part of a collaborative and inclusive company culture.

The culture at Deep 6 AI is collaborative and inclusive, emphasizing the value of diverse perspectives. As a Data Ops Engineer, you can expect to work with intelligent and motivated peers in a fun and hardworking environment. We encourage open communication and respect for each individual's contributions, fostering a community where innovation can thrive.

When answering this question, highlight your previous roles where you managed or contributed to data pipelines. Discuss the tools you used, the challenges you faced, and how your experience aligns with the responsibilities of a Data Ops Engineer at Deep 6 AI, particularly in enhancing pipeline health and ensuring data quality.

Provide specific examples of how you’ve used JVM languages, particularly Kotlin, to solve real-world problems or improve processes in past projects. Showcase how this experience will be beneficial in developing and maintaining the data pipeline at Deep 6 AI.

Discuss your relevant experience working with AWS services, such as EC2, S3, or Lambda. Detail how you've utilized these services in past roles to enhance data operations or manage resources, and how this experience can contribute to your role as a Data Ops Engineer at Deep 6 AI.

Share your approach to maintaining data quality, such as implementing monitoring systems, conducting audits, or utilizing specific tools. Explain how this methodology aligns with the expectations for the Data Ops Engineer at Deep 6 AI, emphasizing the importance of transparency and communication with stakeholders.

Discuss the proactive and reactive measures you have employed in your previous roles, including the technologies and metrics you set up to monitor pipeline health. Provide an example of a specific problem you encountered and how you resolved it, demonstrating problem-solving skills relevant to the Data Ops Engineer role at Deep 6 AI.

Highlight a project where you collaborated with multiple stakeholders, detailing your role and the outcomes. This example should showcase your ability to foster teamwork and communication, key aspects for a Data Ops Engineer in a collaborative setting like Deep 6 AI.

Explain your knowledge of clinical data and its importance in healthcare innovation. Discuss how you can leverage this understanding to contribute effectively as a Data Ops Engineer at Deep 6 AI, focusing on how this knowledge can enhance data sufficiency and the quality of insights generated.

Discuss your experience with machine learning, particularly supervised and unsupervised methods, and how they can be integrated into data pipeline work. Highlight how familiarity with techniques such as reinforcement learning can optimization data processes at Deep 6 AI.

Describe how you effectively communicate and collaborate with teammates in a remote environment. Provide examples of tools or practices you've employed to stay engaged and productive while working remotely, which is integral to the culture at Deep 6 AI.

Articulate your passion for healthcare innovation and how Deep 6 AI’s mission resonates with you. Highlight your interest in being part of a collaborative team and how your skills and experiences can help advance Deep 6 AI’s goal of transforming clinical trials to improve patient outcomes.