Senior Data Engineer

Responsibilities

• AI Readiness Scoring: Own the end-to-end architecture and delivery of the automated scoring pipeline that evaluates data assets on their readiness for AI and analytical use; build and maintain the jobs that collect quality signals and surface scores to data teams
• AI-Augmented Development: Proactively leverage AI tools (e.g., Claude, Databricks Genie) to accelerate development, maintain code quality, and explore new approaches to data engineering problems
• Cross-team Collaboration: Drive alignment with adjacent teams to onboard data assets into the AI-ready platform; influence roadmap priorities based on data readiness gaps; document processes and contribute to the team's shared knowledge base
• Embrace and uphold Ibotta's Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency, and A good idea can come from anywhere.

Requirements

• Experience: 5+ years of software engineering experience with a focus on data engineering, analytics engineering, or backend development.
• Project Leadership: Demonstrated ability to lead complex, multi-stakeholder data initiatives from scoping through delivery; experience writing technical design documents that clearly define the problem, present alternatives, and propose a solution aligned with iterative value delivery.
• Data Engineering: Expertise in Python, SQL, and Databricks, and experience with medallion architecture (bronze/silver/gold) or similar layered data design patterns.
• Semantic Modeling: Independently design and implement semantic layers to ensure AI agents utilize governed, consistent metric definitions rather than querying raw tables directly
• Data Governance: Experience working in data governance concepts (metadata standards, data ownership, schema enforcement, access control) and experience keeping data assets clean and well-documented.
• Data Quality: Confidence working with schema validation, data freshness monitoring, data observability tooling, or similar quality practices.
• AI Tooling: Demonstrated ability to evaluate and integrate AI into the solution tech stack, including understanding operational tradeoffs (token cost, latency, build vs. buy); hands-on experience with AI building blocks such as LLM APIs, context

Benefits

Additional Information

Ibotta is looking for a software-focused Senior Data Engineer to join our team and contribute to our mission to Make Every Purchase Rewarding. As a key contributor within the Data Platform Organization, you will join our newly formed Data Intelligence Squad to make Ibotta's data AI-ready. We are looking for a highly motivated senior data engineer who cares about the craft of clean, well-governed data and understands why it matters more than ever in an AI-driven environment. You'll work on the data contract and metadata standards that underpin everything the squad builds, the compliance tooling that keeps Ibotta's data estate clean and auditable, and the pipelines that feed our AI readiness scoring system. You'll grow into LLM application development and semantic layer work as the team evolves. This position is located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States. Not based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one.

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