Data Engineer

Role Description

We are looking for an experienced Data Engineer with a strong bias to action, natural curiosity, and the ability to work independently while partnering effectively across teams. As part of the Data organization, you will play a central role in building and maintaining the systems, pipelines, and models that power analytics, machine learning, operational workflows, and strategic decision-making at Podimetrics.

Your work directly supports our mission: improving patient lives through early detection and prevention of diabetic foot complications. You will own critical components of our modern data stack - Google BigQuery, cloud infrastructure, dbt, and Python-based pipelines - ensuring our data is accurate, timely, reliable, and accessible.

This position will own critical components of our modern data stack: Google BigQuery, dbt, and Python-based pipelines. This position will play an active role as we evolve toward an event-driven, pub/sub-based platform architecture. This is not a specialist role: there are elements of data engineering, software development, and data science, and this role is expected to move fluidly across each domain. This role will leverage AI tools actively as a force multiplier, write production-quality code, and can reason about system architecture, not just pipelines.

Key Responsibilities

• Design, build, and maintain critical infrastructure, including but not limited to enterprise data warehouse structures and pipelines in BigQuery.
• Develop and maintain dbt models, tests, and documentation to standardize and transform data in line with our data strategy.
• Ensure consistent, reliable data structures by owning data modeling standards, documentation, and best practices.
• Monitor, troubleshoot, and improve existing pipelines with an emphasis on automation, maintainability, and data quality.
• Partner with analysts, data scientists, software engineers, and business stakeholders to design datasets that are high quality, well-modeled, and optimized.
• Design and implement data ingestion patterns from event streams, translating operational events into analytical structures in BigQuery.
• Implement best practices for data testing, data lineage, and data governance within dbt and downstream tools.
• Investigate and resolve data quality issues by identifying root causes and delivering sustainable, technically sound solutions.
• Proactively identify opportunities to improve data reliability, scalability, and usability across the organization.
• Use AI coding tools (LLMs, code generation, etc.) to accelerate development and set the standard for AI-native engineering practices on the team.

Qualifications

• 8+ years of experience in data engineering or a related technical role.
• Strong SQL skills and experience working with cloud-based warehouses (BigQuery strongly preferred).
• Strong software engineering fundamentals in Python - you write production-quality, maintainable code, not just scripts.
• Hands-on experience with dbt - build, test, deploy, document models.
• Experience with Git/GitHub and modern CI/CD practices for data.
• Experience with structured logging, monitoring, and observability tools.
• Experience with CI/CD for data (GitHub Actions, Cloud Build, Cloud Run, etc.).
• Experience working with or adjacent to ML/data science workflows - feature stores, training pipelines, or analytical modeling.
• Demonstrated use of AI/LLM tools in an engineering workflow (Claude Code, Cursor, Copilot, etc.).
• Experience with event-driven architectures and message bus systems (GCP Pub/Sub, Kafka, or equivalent), and clear understanding of stream processing, event schemas, and consumer patterns.

Critical Competencies

• Bias to action: You move quickly, take ownership, and unblock yourself whenever possible.
• Independence: You are comfortable operating with limited direction while keeping stakeholders informed.
• Active Listener: You ask questions, seek context, and translate needs into technical solutions.
• Curious Problem Solver: You naturally dig into root causes, systems behavior, and opportunities to improve.
• Accuracy and Detail-Orientation: You create and review new code thoroughly and accurately; ensuring inconsistencies don’t slip through the cracks.
• Reliability and Responsibility: You take ownership and responsibility for operational excellence and contributions to a positive patient experience. You foster confidence from the team by consistently exceeding expectations, including timely responses and attendance of meetings in a remote setting.

Benefits

• Base Pay: $130-$150k base salary commensurate with experience.
• Annual Bonus Opportunity.
• Equity Options.
• Flexible Paid Time Off.
• Paid Sick Leave.
• Paid Parental Leave.
• Competitive Medical, Dental, and Vision plans – Podimetrics covers 80% of premiums.
• Health Savings Account with employer contribution.
• Employee Assistance Program - Free, confidential advice for team members who need help with stress, anxiety, financial planning, and legal issues.
• 401k.
• Life Insurance - Podimetrics pays 100% of the cost of Basic Life & Personal Accident.
• Disability insurance – Podimetrics pays 100% of the cost of Short-Term and Long-Term Disability Insurance.
• Additional life insurance, critical illness, and accident coverage are available.