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Tier-1 brand plus a mid-level generalist data role with broad skill requirements causes moderate competition.
Specialized data engineering and RAG expertise moderately limit cross-industry portability of candidates.
Explicit 5+ years plus mandatory Python/PySpark, Spark, Kafka, RAG and large-scale pipeline experience increases filtering.
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Lead complex, companywide technology initiatives including application modernization and platform integration.
Develop and enforce engineering standards and best practices for large-scale technology solutions.
Design, code, test, debug, and document software projects; lead teams and mentor peers.
5+ years of Software Engineering experience or equivalent through work, training, military, or education.
Strong Python and PySpark coding skills, with experience in Apache Spark and RDBMS (preferably SQL Server).
Experience designing and optimizing large-scale data pipelines, streaming (Kafka), and caching technologies.
Work Experience Required: Minimum 5 years in Software Engineering, Data Engineering preferred.
Experienced in designing and implementing Retrieval-Augmented Generation (RAG) architectures and vector databases.
Skilled in agentic AI or multi-agent orchestration systems and distributed systems, APIs, microservices architecture.
Ability to lead complex projects and shape technical standards across large teams and company-wide initiatives.