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Strong brand, metro location, broad data+AI skillset creates high applicant competition.
Core data engineering and automation skills are broadly transferable, though AI/product context adds some domain specificity.
7+ years, mandatory SQL/Python, cloud data platforms, pipelines, and AI experience make filters highly strict.
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Build scalable data products, automation workflows, and AI-enabled solutions to improve operational efficiency for CAO teams.
Translate complex, ambiguous business problems into practical, production-ready data engineering solutions including APIs and lightweight applications.
Drive adoption of engineering standards and modern development practices including CI/CD and code reviews, and mentor engineers on using AI-assisted development tools.
7+ years experience in data engineering, analytics engineering, software engineering, or related technical field.
Strong proficiency in SQL and Python with experience building reliable data pipelines, data models, APIs, and automated workflows.
Experience with cloud data platforms, data warehouses, orchestration tools, Git-based development, and CI/CD practices.
Bachelor’s degree or equivalent experience in Computer Science, Data Engineering, Information Systems, or related field.
Experienced in leading complex technical initiatives spanning multiple systems and business domains with scalable data solutions.
Skilled at converting ambiguous business needs into clear technical delivery plans and solutions including AI and automation use cases.
Comfortable working collaboratively with diverse stakeholders, mentoring engineers, and setting technical direction with reusable patterns and standards.