
Divisional Data Software Engineer III
Posted Oct 22

Posted Oct 22
This is a fully remote position, open to applicants in United States.
• Guides technical exploration and translates intricate divisional requirements into data architecture, interfaces, and delivery strategies.
• Designs, constructs, and manages scalable, secure, and robust data ingestion, ELT, and integration services.
• Develops reusable frameworks, libraries, and patterns that enhance engineering consistency and accelerate delivery.
• Creates dimensional and other purpose-fit data models, optimizing storage, query performance, and compute utilization.
• Implements automated testing, data quality controls, monitoring, alerting, and recovery procedures.
• Leads the examination of complex data defects and production incidents, driving root cause analysis and sustainable remediation.
• Ensures solutions comply with requirements for privacy, security, governance, lineage, and retention.
• Conducts technical reviews and provides recommendations regarding tools, design trade-offs, and implementation methods.
• Collaborates with product, analytics, architecture, and business stakeholders to prioritize tasks and manage dependencies.
• Guides engineers through pairing, design feedback, code reviews, and sharing engineering methodologies.
• Communicates delivery status, technical risks, operational health, and data constraints to stakeholders.
• Bachelor's Degree in Computer Science, Data Science, Software Engineering, Information Systems, or a related discipline; or an equivalent blend of education and experience.
• Five (5) or more years in data engineering, software engineering, data integration, or similar roles.
• One (1) or more years of experience in the Insurance industry.
• Expertise in data architecture, data modeling, distributed processing, and pipeline orchestration.
• Familiarity with cloud data platforms, APIs, and scalable integration patterns.
• Proficiency in SQL and Python or another production programming language.
• Experience in testing, observability, performance tuning, and responding to production incidents.
• Strong skills in technical communication, stakeholder collaboration, and mentoring.
• Ability to balance reliability, security, maintainability, delivery timelines, and costs.
• Comprehensive health, dental, and vision insurance.
• Competitive salary and performance-based bonuses.
• Opportunities for professional development and career advancement.
• Flexible work hours and remote work options.
• Generous paid time off and holiday leave.
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