Senior Data Engineer
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Requirements
• Technical Leadership: You have a proven track record of architecting complex data systems • and leading technical initiatives in fast-paced environments. • Healthcare Impact: You're passionate about leveraging data to improve patient outcomes and understand the unique challenges of healthcare data. • Security Excellence: You have deep expertise in healthcare data security, HIPAA compliance, • and implementing robust data governance frameworks. • Collaboration & Mentorship: You excel at leading cross-functional teams and developing • Innovation Mindset: You stay current with emerging technologies and can evaluate their • strategic fit for our organization. • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent • 5+ years of demonstrated experience architecting and building production data pipelines • and MLOps environments • Expert-level proficiency in SQL and Python with demonstrated experience in • performance optimization • Deep expertise with modern data stack technologies including dbt, Airflow, BigQuery, • and cloud-native solutions • Extensive experience with major cloud platforms (AWS, GCP, or Azure) including • infrastructure-as-code practices • Proven track record working with healthcare, medical, or population health data • Outstanding communication and leadership skills with experience mentoring engineering • Experience establishing data governance and compliance frameworks in regulated • Advanced degree in Computer Science, Data Engineering, or related field • Extensive experience with Google Cloud Platform, including BigQuery, Vertex AI, IAM, • Pub/Sub, Dataflow, and Cloud Composer • Expert-level experience with Terraform and infrastructure automation • Experience with real-time streaming data architectures • Track record of successfully scaling data systems in high-growth startup environments • Published thought leadership or contributions to open-source data engineering projects
Responsibilities
• Architect and design scalable, fault-tolerant data pipelines for complex healthcare data • ingestion, transformation, and reporting • Lead technical decision-making for data infrastructure and tooling selection • Mentor junior engineers and establish engineering best practices across the team • Drive cross-functional collaboration with Data Science, Business Intelligence, and • Champion data quality initiatives and establish robust monitoring and alerting systems • Design and implement solutions for complex distributed system challenges • Evaluate and implement emerging technologies to maintain our competitive edge • Design and implement enterprise-grade data architectures with emphasis on scalability, • reliability, and maintainability • Lead code reviews and establish coding standards that promote excellence across the • engineering organization • Drive strategic partnerships with product stakeholders, translating complex business • requirements into elegant technical solutions • Own end-to-end delivery of critical data infrastructure projects • Establish comprehensive testing strategies, documentation standards, and operational • Continuously evaluate and optimize system performance, cost efficiency, and reliability • Serve as subject matter expert for healthcare data compliance and security requirements
Benefits
• $140K – $150K • Offers Equity • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • or drag and drop here