Divisional Data Software Engineer III

Alliant Insurance Services

. Leads technical discovery and translates complex divisional requirements into data architecture, interfaces, and delivery plans .

Posted 10/22/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data architecture, data modeling, and scalable integration patterns, with a strong focus on delivering secure and resilient data solutions. Proficient in SQL and Python, with a commitment to mentoring and effective technical communication.

Highest-signal resume keywords

Data ArchitectureData ModelingSQLPythonData Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData IngestionELTPerformance TuningAutomated TestingData Quality ControlsPipeline OrchestrationDistributed ProcessingRoot Cause AnalysisMonitoring

Soft Skills

Technical CommunicationStakeholder PartnershipMentoring

Tools & Technologies

Cloud Data PlatformsAPIsIntegration Patterns

Industry Keywords

Insurance Industry Experience

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Leads technical discovery and translates complex divisional requirements into data architecture, interfaces, and delivery plans
Designs, builds, and operates scalable, secure, and resilient data ingestion, ELT, and integration services
Develops reusable frameworks, libraries, and patterns that improve engineering consistency and delivery speed
Designs dimensional and other fit-for-purpose data models; optimizes storage, query performance, and compute utilization
Establishes automated testing, data quality controls, monitoring, alerting, and recovery practices
Leads investigation of complex data defects and production incidents; drives root cause analysis and durable remediation
Ensures solutions meet requirements for privacy, security, governance, lineage, and retention
Facilitates technical reviews and makes recommendations on tools, design tradeoffs, and implementation approaches
Partners with product, analytics, architecture, and business stakeholders to prioritize work and manage dependencies
Mentors engineers through pairing, design feedback, code review, and sharing engineering practices
Communicates delivery status, technical risks, operational health, and data limitations to stakeholders

Requirements

What you’ll need

Bachelor's Degree in Computer Science, Data Science, Software Engineering, Information Systems, or a related field; or an equivalent combination of education and experience
Five (5) or more years in data engineering, software engineering, data integration, or related work
One (1) or more years of Insurance industry experience
Knowledge of data architecture, data modeling, distributed processing, and pipeline orchestration
Knowledge of cloud data platforms, APIs, and scalable integration patterns
Skills in SQL and Python or another production programming language
Skills in testing, observability, performance tuning, and production incident response
Skills in technical communication, stakeholder partnership, and mentoring
Ability to balance reliability, security, maintainability, delivery time, and cost