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Metro location, broad skillset, and common senior software title increase applicant competition.
Data engineering and AI skills are broadly transferable across industries.
Multiple mandatory technical skills (Python, AWS, AI, data pipelines) increase screening rigor despite no explicit years.
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Design and build scalable systems and data pipelines for quality validation, KPI reporting, and large-scale data processing across HERE’s ecosystem.
Develop modern full-stack applications and data visualizations, integrating AI-driven capabilities to automate statistical analysis and enhance product quality insights.
Collaborate in Agile teams to translate business requirements into technical solutions, maintain code quality, and support CI/CD processes.
Degree in Computer Science, Data Science or related field.
Experience in data or software engineering with strong programming skills in Python and AWS.
Hands-on experience building AI-powered applications including RAG, AI agents, semantic search, or LLM integrations.
Experience working in Agile development environments with version control and CI/CD pipeline knowledge.
Proven ability to develop scalable full-stack solutions integrating AI-driven features such as intelligent search, recommendations, or conversational interfaces.
Experienced in building and maintaining robust data engineering pipelines and infrastructure to support large-scale data processing.
Operates effectively in cross-functional Agile teams, translating complex business needs into high-quality, performant technical solutions.