Sr. Data Engineer

Job Title: Data Engineer

Department: Data Strategy

Location: Remote

Reports to: Director, Data Strategy

Key Relationships: Data Science, Software, Operations

About Podimetrics: 

Founded in 2011, Podimetrics set out on a mission to improve patient lives through early detection and prevention of diabetic foot ulcers, the leading cause of lower limb amputations. Podimetrics has since evolved to become a rapidly growing virtual care management company with advanced technology and patient-centered services.

Today, Podimetrics teams with and provides solutions to patients, payers and providers that alleviate the  health and financial implications of diabetic foot complications in high-risk populations. We are a mission  driven, financially responsible enterprise that enables patients to stand on their own feet and live more  independent and fulfilling lives. 

Core Values:

• Mission First: We are here to drive critical change, bring hope and compassionate care to those in great need.
• People Matter Most: We advance our mission by caring for our people (colleagues, patients, providers, customers and stockholders), treating them with kindness and respect.
• Courageous Action: We are driven to act and demand mutual accountability. We believe that missteps foster learning and iterative improvement.
• Healthy Debate: We commit to transparent discussion and resulting decisions. The very best decisions come from differing points of view, requiring good intentions, mutual trust and no ego.
• Deep Curiosity: We are always striving to learn more and do better. We question if the best we have ever done couldn’t be improved further.

Role Description:

We are looking for an experienced Sr. 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

Please note that we are not able to provide visa sponsorship for this position. To be considered, candidates must already be legally authorized to work in the United States of America without employer sponsorship.

Podimetrics is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.