Cloud Data Engineer II, Power BI

🕒 3 days ago

🇺🇸 United States – Remote

💵 $80k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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AAIS (American Association of Insurance Services)

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1936

💼 Consulting

⚖️ Legal

📦 Logistics

Consulting • Legal • Logistics

AAIS (American Association of Insurance Services) is a member-governed, not-for-profit advisory organization founded in 1936 that provides products and services to property & casualty insurance carriers across the United States. AAIS produces insurance forms, manuals, rating guidance and delivers regulatory compliance support, onboarding, actuarial services, statistical data management and data/technology toolkits (e. g. , FLAMES, Speed to Market, openIDL) to help carriers manage filings, reporting and speed-to-market. The organization focuses on serving member carriers, regulators and partners with advisory solutions, data services and educational resources to support compliant, data-driven insurance operations.

📋 Description

• Independently deliver data features, integrations, pipelines, dashboards, reports, and datasets from design through production support • Translate business and technical requirements into practical designs, implementation tasks, test plans, and support documentation • Estimate work, manage dependencies, communicate progress, and deliver within sprint and release commitments • Apply coding, architecture, security, data protection, change management, and operational standards • Build automated tests, monitoring, alerting, deployment controls, and support procedures • Investigate incidents and defects, identify root causes, and implement corrective actions • Coordinate with engineers, business partners, vendors, and platform owners to deliver data solutions and reporting capabilities • Participate in design reviews and peer code reviews • Contribute to Agile sprint planning, estimation, and technical documentation • Maintain code in GitHub and track work in Azure DevOps • Develop and maintain dashboards, visualizations, reports, and datasets supporting business and technology stakeholders • Contribute reusable patterns, best practices, and continuous improvements to engineering and delivery processes • Perform additional duties as assigned or requested

🎯 Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, Data Management, Cybersecurity, or a related discipline, or equivalent practical experience • 3+ years of engineering experience delivering production technology solutions • Demonstrated experience independently delivering complete features or work packages • Demonstrated experience delivering data and analytics solutions as a Data Engineer in a cloud-native environment • Python as a primary development language • Recent hands-on experience developing with AWS-native capabilities, MongoDB Atlas, Databricks, and Power BI • Strong information delivery skills leveraging Power BI and MongoDB Atlas to develop dashboards, visualizations, reports, and datasets • Familiarity with API integration, CI/CD pipelines, observability, data pipelines, automation, and cloud security • Ability to operate independently while collaborating effectively across technical and business teams • Strong written and verbal communication skills, including the ability to explain technical concepts to non-technical audiences • Strong critical-thinking and problem-solving skills, with the ability to manage multiple priorities and meet deadlines • High degree of integrity, ethics, discretion, and dedication to the mission of the organization • Ability to work effectively both independently and in a team environment • Ability to communicate effectively across multiple channels and asynchronously in a remote-first working environment • Successful completion of an in-person leadership interview • Experience in property and casualty insurance or other regulated industries is a plus

🏖️ Benefits

• 10% annual bonus • Minimum travel is required for annual all-company gatherings or team design sessions (up to 5% of the time) • Fully remote / remote-first working environment

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