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Key skills for this role
Strong Python engineering fundamentals, including application design, testing, performance tuning, and operational support.
Working knowledge of React and modern JavaScript frameworks for developing operational dashboards and user interfaces.
Experience building and integrating RESTful APIs and event-driven architectures.
Experience with CI/CD pipelines, automated testing, DevOps practices, and cloud-native delivery models.
Experience working within modern data platforms leveraging technologies such as Snowflake, Airflow, Databricks, or similar ecosystems.
Understanding of data integration, data observability, monitoring, and operational resilience concepts.
Understanding of how modern data platforms support analytics, machine learning, and AI-enabled workloads.
Ability to operate effectively in ambiguous environments and solve complex technical challenges.
Experience mentoring engineers, conducting code reviews, and contributing to engineering best practices.
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
This is a hybrid role , requiring onsite presence at an LPL Financial office 2–3 days per week , as much of the team and leadership are based there.
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