Data Engineer

Requirements

• 7+ years of experience in software, data, or AI platform engineering with expertise in production system ownership.
• Hands-on experience in AI and LLM system architecture, including agent design, orchestration, tool and context interfaces such as MCP, and reliability patterns for production-scale systems.
• In-depth understanding of systems integration and data engineering, including pipelines and integrations designed for agent consumption and production reliability.
• Track record of leading technical work that others depend on, including platform reliability, security integration, and scale.
• Expertise in programming across backend services, APIs, data pipelines, and platform infrastructure.
• Ability to make architecture-level recommendations, document tradeoffs, and align peers and leadership on technical direction.
• Be comfortable operating as the senior technical anchor in fast-moving environments where ambiguity and dependency on individual depth are real.

Who you are

• You’re focused on tackling new challenges, solving problems, and moving the business forward, and you don’t wait to be asked.
• You have a growth mindset — you’re here to learn, experiment, seek, apply, provide feedback, share what works with your team, and move on from what doesn’t.
• In the face of change and challenges, you bring a thoughtful, calm approach and a focus on finding new opportunities.
• You build positive working relationships across the business, bringing people together to foster new opportunities and to facilitate the efficient flow of information.
• You trust your team to ask difficult questions to get to the best possible outcome.
• You listen actively and communicate ideas and information clearly, inclusively, and proactively.
• You look beyond your role and responsibilities to understand how your team’s work drives broader organizational goals.
• You take pride in the work you’re responsible for with a mindset of ultimate accountability and reliability for the outcomes.
• You step up to help your team grow and succeed, even when that means going beyond what might be expected.

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