Role OverviewBuild the Future of AI-Enabled Data Platforms. This role focuses on creating business advantage from data, combining strong technical expertise with an AI-first mindset to help build the next generation of intelligent data products and platforms.
What You Will Do
Design and build scalable data platforms, pipelines, and analytics solutions that support enterprise reporting and decision-making. Develop and maintain modern data models that enable reliable, high-quality analytics across the organization.
Why It Might Be a Fit
We are particularly interested in candidates who pair strong engineering fundamentals with intellectual curiosity and a passion for leveraging modern AI capabilities to build better systems.
Requirements
- 5+ years of experience in data engineering, software engineering, analytics engineering, or a related technical discipline
- Hands-on experience building and supporting cloud-based data platforms and modern analytics ecosystems
- Strong expertise in SQL, Python, and data engineering best practices
- Experience with Snowflake, dbt, data warehousing, dimensional modeling, and modern data transformation frameworks
- Familiarity with infrastructure-as-code, cloud platforms, CI/CD practices, and automated deployment methodologies
- Practical experience using AI-powered development tools such as ChatGPT, Claude, Cursor, Copilot, Codex, or similar technologies
- A strong understanding of data quality, governance, testing, observability, and scalable system design
- Excellent communication skills with the ability to collaborate across technical and non-technical teams
- Strong problem-solving capabilities, sound engineering judgment, and the ability to operate effectively in ambiguous environments
Benefits
- Strong compensation package including base salary, performance bonus, and profit-sharing opportunities
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