Cloud Data Engineer II, Databricks

AAIS (American Association of Insurance Services)

. Independently design, build, and support AAIS's cloud-based data platform .

Posted 10/27/2026full-timeRemote • United StatesMid-LevelSenior💰 $80,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building cloud-based data platforms, with a strong focus on delivering data features, integrations, and automation. Proficient in Python, AWS-native capabilities, and data engineering practices, while effectively collaborating across technical and business teams.

Highest-signal resume keywords

Cloud-Based Data Platform DevelopmentPython ProgrammingAWS-Native CapabilitiesData Engineering in Cloud-Native EnvironmentAPI Integration and CI/CD Pipelines

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentAutomationCloud SecurityMonitoring and AlertingIncident InvestigationTest Plan DevelopmentChange ManagementOperational StandardsTechnical DocumentationAgile Methodologies

Soft Skills

Strong Communication SkillsCritical ThinkingProblem-SolvingCollaborationIntegrity and Ethics

Tools & Technologies

GitHubAzure DevOpsMongoDB AtlasDatabricksPower BI

Industry Keywords

Property and Casualty InsuranceRegulated IndustriesData ManagementCybersecurity

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityMongoDBPython

About the role

Key responsibilities & impact

Independently design, build, and support AAIS's cloud-based data platform
Deliver data features, integrations, pipelines, and automation from design through production support
Translate business and technical requirements into 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
Participate in design reviews and peer code reviews
Contribute to Agile sprint planning, estimation, technical documentation, reusable patterns, best practices, and continuous improvements
Maintain code in GitHub and track work in Azure DevOps
Perform additional duties as assigned or requested

Requirements

What you’ll need

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
Experience 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

Comp & perks

10% annual bonus
Minimum travel for annual all-company gatherings or team design sessions (up to 5% of the time)
Remote-first working environment