We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Data Engineering Specialist
Location
United States
Posted
10 days ago
Salary
Not specified
No structured requirement data.
Job Description
Role Description
This role involves serving as a senior technical leader responsible for shaping and managing the modern data ecosystem. Your contributions will directly impact our mission to enhance healthcare by delivering high-quality data products that support clinical and operational outcomes.
- Design and evolve a scalable, secure, cloud-native lakehouse platform leveraging Databricks and Microsoft Fabric.
- Define modeling patterns and governance frameworks across the data lifecycle.
- Lead design reviews and guide teams in adopting scalable architectures.
- Drive long-term platform strategy and evaluate emerging technologies.
- Design and implement batch and streaming data pipelines for healthcare data sources.
- Develop frameworks for ingestion, quality, lineage, metadata, and observability.
- Produce clean, analytics-ready datasets for BI and machine learning.
- Implement HIPAA-aligned access patterns and secure handling of PHI.
- Architect Databricks workloads for reliability and efficiency.
- Integrate Databricks and Microsoft Fabric with Azure services and enterprise systems.
Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 7+ years of experience in data engineering.
- 2+ years operating in a senior or staff level engineering role.
- Proficiency with Databricks, Spark, Delta Lake, dbt, and Python.
- Experience designing large-scale cloud data platforms (Azure preferred).
- Familiarity with Data Engineering, Data Factory, and Lakehouse.
- Advanced expertise in data platform architecture.
- Ability to create modular, extensible frameworks for enterprise solutions.
- Strong command of distributed data processing techniques.
- Experience in HIPAA regulated environments and handling PHI.
- Fluency in healthcare data compliance standards.
- Technical leadership and mentorship capabilities.
- Excellent communication skills with technical and clinical stakeholders.
Benefits
- 100% remote work (ET or CT work hours preferred).
- Collaborative and inclusive work environment.
- Opportunities for professional growth and development.
- Mission-driven culture focused on improving healthcare.
- Diversity, equity, and inclusion in recruitment practices.
- Access to cutting-edge technology and resources.
Job Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 7+ years of experience in data engineering.
- 2+ years operating in a senior or staff level engineering role.
- Proficiency with Databricks, Spark, Delta Lake, dbt, and Python.
- Experience designing large-scale cloud data platforms (Azure preferred).
- Familiarity with Data Engineering, Data Factory, and Lakehouse.
- Advanced expertise in data platform architecture.
- Ability to create modular, extensible frameworks for enterprise solutions.
- Strong command of distributed data processing techniques.
- Experience in HIPAA regulated environments and handling PHI.
- Fluency in healthcare data compliance standards.
- Technical leadership and mentorship capabilities.
- Excellent communication skills with technical and clinical stakeholders.
Benefits
- 100% remote work (ET or CT work hours preferred).
- Collaborative and inclusive work environment.
- Opportunities for professional growth and development.
- Mission-driven culture focused on improving healthcare.
- Diversity, equity, and inclusion in recruitment practices.
- Access to cutting-edge technology and resources.
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