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Data Platform and Cloud Engineer, AI-Assisted Development (Remote, California)
Manage the company’s SQL Server and Azure data infrastructure while developing AI-assisted internal applications. Build reliable data pipelines, cloud systems, integrations, and automations for an insurance brokerage.
संयुक्त राज्य
कैलिफ़ोर्निया$1,00,000 – $1,40,000 / वर्ष
रिमोटपूर्णकालिकमध्य स्तरवरिष्ठआवश्यक भाषा: अंग्रेज़ीक्लाउड इंजीनियरविवरण
- Manage the health, performance, and security of the SQL Server and Azure SQL data warehouse.
- Administer and optimize database environments through indexing, query tuning, backup and recovery, capacity planning, and patching.
- Build, maintain, and monitor ETL/ELT pipelines sourcing agency management, carrier, finance, HR/payroll, and other business systems.
- Design and maintain data normalization, transformation, and modeling processes.
- Oversee schema changes, data quality checks, job orchestration, scheduled loads, pipeline failures, and data discrepancies.
- Establish and enforce data access controls, retention procedures, and documentation standards.
- Work with IT while following security, change management, access provisioning, and architecture standards.
- Collaborate with BI and Analytics teams to provide clean, well-modeled data for dashboards, applications, and APIs.
- Administer assigned areas of the Microsoft Azure subscription, including organization, RBAC, cost management, tagging, naming, and platform security.
- Own the Azure infrastructure behind Liberty OS and Liberty Aura, covering provisioning, configuration, monitoring, patching, and capacity planning.
- Lead legacy system and database decommissioning, including migration, archival, retention verification, resource retirement, and documentation.
- Design, develop, and support internal applications and automations with AI-assisted development tools.
- Convert business needs into internal tools, integrations, and automated workflows.
- Use code review, version control, testing, and documentation throughout development.
- Assess AI coding tools and workflows, and share practices that improve development efficiency and quality.
- Create and maintain integrations between the data warehouse and internal business applications.
- Handle production, sensitive, and regulated data according to security, compliance, and data-handling requirements.
- Maintain a dotted-line reporting relationship with Technology Operations.
आवश्यकताएँ
- At least six years administering SQL Server or a comparable relational database platform in production.
- Practical experience building and maintaining ETL/ELT pipelines and data warehouse or data mart architectures.
- Experience administering a Microsoft Azure subscription, including resource and subscription organization, Entra ID role-based access control, cost management, and platform security.
- Advanced SQL skills covering query optimization, indexing strategy, and performance troubleshooting.
- Experience using AI coding assistants or agents such as Claude Code, GitHub Copilot, or Cursor in a real development workflow.
- Working knowledge of Python, C#, or JavaScript/TypeScript.
- Familiarity with Git and standard software development lifecycle practices.
- Strong troubleshooting ability and ownership of systems from end to end.
- Experience migrating and retiring legacy systems or databases, including data migration, archival, and retention-compliant shutdown.
- Clear written and verbal communication skills.
- Preferred: experience with Azure SQL Managed Instance or another cloud data platform.
- Preferred: experience with infrastructure-as-code tools such as Bicep, ARM, or Terraform, along with Azure cost management or FinOps.
- Preferred: experience with Tableau or another business intelligence or reporting platform.
- Preferred: experience in insurance, brokerage, or financial services, or with Applied Epic or AMS360.
- Preferred: experience building or integrating MCP servers or comparable agentic AI tool-calling architectures.
- Preferred: exposure to data governance or regulatory compliance requirements.
- Preferred: experience mentoring developers in AI-assisted development practices.
- For positions requiring a state insurance license, meet applicable state licensing requirements and remain eligible for licensure.
लाभ
- Competitive compensation package.
- Generous benefits package.
- Paid time off.
- A workplace centered on wellness.
- Programs that support professional and personal development.
- Award-winning workplace culture.
- Tools and knowledge that promote employee well-being and positive energy.
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