Principal Data Engineer
WFA Digital Insight
As remote jobs continue to redefine the digital landscape, skilled data engineers are in high demand. With the growth of healthcare tech, experts who can merge technical prowess with a deep understanding of clinical data are particularly sought after. Waymark stands out in this space by leveraging data science and ML to transform Medicaid healthcare delivery. Before applying, candidates should understand the nuances of working with EHR data and the potential for growth in this rapidly evolving field. Given the 25% increase in remote tech jobs in the past year, this role offers a unique blend of challenge and opportunity.
Job Description
About the Role
The Principal Data Engineer role at Waymark is a mission-critical position that combines the technical acumen of a seasoned backend engineer with the specialized expertise of someone well-versed in Electronic Health Record (EHR) data integration. This individual will be at the forefront of designing and developing the data pipelines that power Waymark's clinical data platform. The role is not just about technical expertise but also about understanding the healthcare landscape and how data can be harnessed to improve patient outcomes.As a principal-level individual contributor, this role involves leading the technical direction for the clinical data platform. This includes setting the strategy for how EHR data is integrated, normalized, and transformed to support care teams and drive better healthcare delivery. The successful candidate will report to the data engineering leadership and will be instrumental in ensuring that the data pipelines are not only architecturally sound but also optimized for performance and scalability.
Waymark's mission to transform care for people with Medicaid benefits is ambitious, and this role is central to achieving that goal. By joining this team, the Principal Data Engineer will be part of a community-driven effort to remove barriers in healthcare delivery and reimagine what is possible in Medicaid healthcare.
What You Will Do
- Architect production-grade data pipelines that integrate clinical data from diverse EHR systems and payer networks
- Lead the design, development, and optimization of data pipelines to ingest, normalize, and transform clinical data
- Collaborate with cross-functional teams to ensure data quality and integrity
- Develop and maintain documentation for data pipelines and architectures
- Ensure compliance with healthcare data regulations and standards
- Participate in the development of the overall data strategy and roadmap
- Mentor junior engineers and contribute to the growth of the data engineering team
- Stay up-to-date with industry trends and emerging technologies in data engineering and healthcare
- Collaborate with data scientists to integrate ML models into the data pipelines
- Troubleshoot and resolve data pipeline issues, working closely with operations teams
What We Are Looking For
- Deep expertise in backend engineering, with a focus on data pipeline development and architecture
- Experience with EHR data integration and healthcare data standards
- Strong understanding of data modeling and data warehousing principles
- Proficiency in languages such as Python, Java, or Scala
- Experience with big data technologies like Hadoop, Spark, or NoSQL databases
- Knowledge of cloud-based data platforms such as AWS or GCP
- Strong analytical and problem-solving skills, with the ability to troubleshoot complex data issues
- Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders
- Experience working in an agile development environment
Nice to Have
- Experience with ML frameworks and integrating ML models into data pipelines
- Knowledge of healthcare-specific data standards and regulations, such as HIPAA
- Experience working with health information exchanges (HIEs) or health alliance networks
- Certification in data engineering or a related field
- Experience with DevOps tools and practices
Benefits and Perks
- Competitive salary and equity package
- Comprehensive health, dental, and vision insurance
- Generous PTO and holiday policy
- Remote work stipend and support for home office setup
- Opportunities for professional growth and development
- Access to the latest technologies and tools in data engineering
- Collaboration with a talented team of engineers, data scientists, and healthcare professionals
- Mission-driven work that contributes to improving healthcare outcomes for underserved populations
How to Stand Out
- Ensure your resume and cover letter highlight specific experiences with EHR data integration and backend engineering.
- Prepare to discuss your approach to data pipeline architecture and optimization during the interview.
- Showcase your understanding of healthcare data regulations and standards, such as HIPAA.
- Be ready to explain how you stay current with industry trends and emerging technologies in data engineering and healthcare.
- Consider creating a portfolio that demonstrates your work in data pipeline development and your ability to integrate ML models into data pipelines.
- When discussing salary, be prepared to talk about your expectations based on industry standards and the value you can bring to the role.
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