Divisional Data Software Engineer III

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Alliant Insurance Services

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1925

🛡️ Insurance

🤝 B2B

💼 Consulting

💰 $690M Debt Financing - Alliant Insurance Services on 2019-10

Insurance • B2B • Consulting

Alliant Insurance Services is a national insurance brokerage and risk-management firm that provides property & casualty insurance, employee benefits consulting, reinsurance, claims assistance, disaster preparedness and recovery, captive insurance, and a range of industry-specific risk solutions (e. g. , agribusiness, aviation, construction, cyber, energy, healthcare, real estate & hospitality, transportation). The firm emphasizes benefits consulting and human capital services in addition to traditional brokerage, and positions itself as a full-service advisor for commercial clients. Alliant is one of the largest brokers in the U. S. , noting roughly $5. 7B in revenue and $55B+ in premiums, and is ranked among the top brokers nationally and globally.

📋 Description

• 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

• 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