Senior Data Engineer

Podimetrics

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

Posted 4/23/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $130,000 - $150,000 per yearWebsite

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud PlatformKafkaPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Hard Skills & Tools

SQLPythondbtdata modelingdata ingestiondata testingdata lineagedata governanceevent-driven architecturestream processing

Soft Skills

problem-solvingcollaborationcommunicationanalytical thinkingattention to detailproactive improvementdocumentationtroubleshootingautomationstakeholder engagement