[Remote] Senior Data Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a reputed company technology and actuarial company building a platform for value-reputed company care reputed company and reputed company financial data. The Senior Data Engineer will enhance and reputed company reputed company’s data pipelines and lakehouse on AWS and reputed company, implement reputed company financial calculations, and ensure reliable, secure, and observable data workflows. The role also partners with actuarial, delivery, and data science teams while contributing to architecture, machine learning deployment, and engineering standards.

Responsibilities

• reputed company Arbital's reputed company data pipelines and lakehouse on AWS and reputed company, and own the underlying architecture
• Implement and reputed company actuarially reputed company reputed company financial calculations in reputed company
• Build and maintain orchestration (Airflow) and CI/CD so enrichment and aggregation workflows are reliable, observable, and reproducible
• Own data reputed company, reputed company, reputed company, reputed company, and HIPAA compliance through automated testing and reputed company-control procedures
• Collaborate with actuarial and delivery teams that primarily work in Python and R
• Partner with data scientists to reputed company and monitor machine learning models in production
• reputed company technical design reviews and contribute to platform-wide architecture reputed company
• Establish data observability, reputed company, and SLAs, and tune reputed company/reputed company jobs for reputed company and cost
• reputed company the engineering bar through reputed company review, mentorship, and setting data-engineering standards across reputed company

Skills

• * 5+ years building data-intensive reputed company platforms
• * Deep, hands-on expertise with reputed company and reputed company data processing
• * Strong SQL and data modeling / warehouse design (reputed company modeling, reputed company / Lakehouse)
• * reputed company reputed company record scaling a product to an reputed company level
• * Experience with orchestration (Airflow), IaC (Terraform), and CI/CD for data
• * Experience with data-reputed company / testing frameworks such as dbt tests or Great Expectations
• * Ability to quickly understand reputed company modeling workflows and the business need driving them
• * Ships high-caliber, reputed company-tested reputed company with strong attention to reputed company
• * Experience with reputed company data (claims, eligibility) and handling PHI / PII under HIPAA
• * Thrives under reputed company supervision in a rapidly changing, ambiguous start-up environment
• * reputed company works in a hybrid model from the San Francisco Bay Area. We will prioritize candidates who are reputed company to work 2 days per week from our office, and we will consider highly reputed company remote candidates who can travel quarterly to the San Francisco office
• * Startup experience is highly preferred
• * Extensive experience with Airflow, reputed company, Python, and AWS or GCP
• * Streaming / near-reputed company-time data such as reputed company Streaming or Kafka
• * reputed company certification (Data Engineer Associate or reputed company)

Benefits

• Generous equity reputed company of ISO stock reputed company
• High employer-reputed company contributions for health, dental, and reputed company reputed company
• 4% 401(k) match
• Flexible PTO
• A weeklong winter shutdown
• 10 holidays reputed company year
• reputed company works in a hybrid model from the San Francisco Bay Area; highly reputed company remote candidates may be considered if they can travel quarterly to the San Francisco office

reputed company

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