Senior Data Engineer
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Job Description
Senior Data Engineer supporting analytics and machine learning at Podimetrics. Building and maintaining data systems and pipelines for early diabetic foot ulcer detection.
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
Requirements:
- 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
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
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