
Principal Data Engineer
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in United States.
• Take ownership of the architecture and end-to-end delivery for modern data platforms.
• Influence the data strategy of clients and create scalable solutions.
• Lead the implementation process from design to production.
• Collaborate directly with client stakeholders from the requirements phase to executive updates.
• Mentor internal team members to ensure high-quality delivery.
• Make pragmatic technology choices while delivering high-quality work within set deadlines.
• Provide clients with advice on architecture, scalability, and platform evolution, linking technical decisions to business outcomes.
• Facilitate or initiate retrospectives and feedback discussions with teams and clients.
• Clearly articulate and document outcomes while driving action items forward.
• Enhance team and company culture by exemplifying 8th Light’s Values.
• Identify, mitigate, and resolve obstacles to team progress.
• Contribute through mentoring, leading workshops, representing the tech community, or assisting with hiring efforts.
• Over 10 years of experience in software development and more than 7 years in data engineering.
• Proven track record of successfully delivering data platforms over the long term.
• Clear advancement into technical leadership and architectural responsibilities.
• Extensive expertise in Databricks and contemporary lakehouse architecture, including Delta Lake and Spark-based processing.
• Proficient in SQL and Python for managing large-scale data pipelines.
• Practical experience with cloud platforms, data services, and infrastructure design.
• Strong background in data modeling, ETL/ELT patterns, and distributed data processing.
• Experience with orchestration tools and transformation frameworks in a production setting.
• Ability to lead technical delivery while remaining hands-on.
• Client-facing experience in gathering requirements, designing solutions, and communicating with executives.
• Skilled in navigating ambiguity and effectively prioritizing tasks.
• Familiarity with healthcare data such as Epic, HL7, FHIR, and claims.
• Knowledge of CI/CD, DevOps practices, and infrastructure-as-code tools.
• Experience in mentoring internal team members.
• Actively seeks and receives feedback.
• Strongly preferred: experience in platform engineering; real-time and streaming tools such as Kafka, Kinesis, or Pub/Sub; production agentic systems including RAG pipelines and vector search; MLOps; Infrastructure as Code.
• Unlimited access to a vast library of books, courses, and expert-led training on the O'Reilly learning platform.
• Annual financial stipend and allocated time for learning & development.
• Coworking support available for our global team.
• Flexible paid time off (PTO).
• 12 weeks of new parent leave offered for eligible employees.
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