Dandy · 2 days ago

Senior Data Engineer

United States

Full-time

Remote

Senior Level

5+ years exp

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DentalHealth Care

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Responsibilities

Own and Build Data Infrastructure: Design, build, and maintain scalable data pipelines, ETL processes, and robust data systems to support multiple business domains, including product, operations, logistics, and more.

Collaborate and Support Stakeholders: Work closely with data analysts, product teams, and internal stakeholders to understand data needs and deliver reliable, accurate, and well-documented data solutions that power business decisions.

End-to-End Data Pipeline Ownership: Be responsible for the full lifecycle of data infrastructure, including data collection, transformation, and storage. Ensure that pipelines are optimized for performance, scalability, and maintainability.

Tooling and Automation: Design and implement tools for monitoring, automation, and self-service analytics to make sure that stakeholders can access the data they need quickly and reliably.

Documentation and Best Practices: Develop clear, detailed documentation for data pipelines, architecture, and systems to promote best practices and ease of use for internal teams.

Mentorship and Leadership: Mentor junior data engineers, ensuring they develop the skills to take ownership of key areas while helping you drive the overall vision for data infrastructure.

Continuously Improve Systems: Keep an eye on emerging technologies, tools, and best practices. Continuously improve our data infrastructure to stay ahead of the curve and to meet growing business demands.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data InfrastructureETL ProcessesPythonData PipelinesDBTAWSGCPData Orchestration ToolsDocumentation

Required

5+ years of experience building and maintaining scalable data infrastructure, ideally in a high-growth, fast-paced company.

Hands-on experience with data orchestration tools such as Dagster, Airflow, or similar.

Well-versed in writing performant, maintainable code in Python.

Deep experience building data pipelines using tools like DBT for transformation.

Experience with cloud environments like AWS or GCP for data storage and computation.

Ability to design and maintain reliable ETL processes that scale.

Resourceful and able to tackle ambiguous, complex problems independently.

Ability to translate complex technical ideas into clear, actionable recommendations for both technical and non-technical stakeholders.

Effective communication with analysts and other teams to ensure data is accessible and usable.

Empathy for the business and end users, understanding the impact of work on real-world operations.

Ability to thrive in an environment where priorities can shift quickly and jump into different domains as needed.

Preferred

Strong experience with documentation, ensuring that all systems and processes are well-documented and easy for other engineers and analysts to leverage.

Interest in contributing to an earlier-stage company and working in a rapidly evolving, dynamic environment.

Strong customer empathy, particularly for dentists.