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Staff Software Engineer

Applied Systems•United States•🌍 Remote
Full-time7-15
$175K
per year
👁️ 0 views•📝 0 applications•Posted 9/19/2026•Expires 11/18/2026
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Job Description

Team: Technology – Reporting and Analytics Salary Range: USD 175K Location: Remote Opportunity for Impact Applied builds cloud software and AI-powered solutions that are reinventing how the global insurance industry operates, and we do it at a pace that keeps us ahead.

What you ship here reaches thousands of agencies and brokers worldwide and sets the standard for what modern insurance technology looks like. We’re looking for a Staff Software Engineer to join our Technology – Reporting and Analytics t eam .

This role involves setting technical direction for the data pipelines and infrastructure that power our customer-facing Data Lake platform across a wide variety of customer data sources and AI-driven and other data products.

This is an individual contributor role with organization-wide influence: you will solve our hardest data engineering problems and raise the bar for how the team builds, operates, and scales its infrastructure.

As a Staff Software Engineer, you will collaborate with Architects, Product Owners, and Scrum team members to engineer and deliver high-quality technical solutions.

You'll play a pivotal role in transforming and orchestrating massive data sets, creating impactful solutions that drive innovation and efficiency for our clients' businesses.

What You’ll Do Lead the design and implementation of sophisticated and reliable data pipelines, encompassing extraction, transformation, and data ingestion processes, while ensuring alignment with our product vision and impact across the customer-facing Data Lake Own the development of strategic projects from initial conception to completion, delivering large features and improvements with minimal guidance, and providing leadership across multiple projects and teams Utilize tools like Debezium, GCP stack (including Pub/Sub and Dataflow), BigQuery, and SQL for managing and processing large scale customer data across various data sources, driving the innovation and optimization of the data

Required Skills

data pipelinesdata ingestionDebeziumGCPPub/SubDataflowBigQuerySQL

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