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Salary: USD 110,000 - 126,000 / annual
Ibotta is seeking a Data Engineer to join the Publisher Data Platform (PDP) team, which builds the infrastructure, data marketplace, and standards enabling secure data sharing with publisher partners. The PDP team delivers scalable cloud infrastructure powering compliant use of data collected by the Ibotta Performance Network (IPN), and owns the partner-facing data sharing platform (including Databricks Clean Rooms) and governance over IPN data.
In this role, you will develop automated processes to provision dedicated publisher infrastructure and uphold governance standards for IPN data handling. Key responsibilities include:
- Building and maintaining Terraform infrastructure that provisions the data platform, primarily Databricks on AWS
- Implementing robust engineered controls across the data platform to ensure compliance with data governance policies
- Developing and supporting secure external data exchange capabilities using Databricks Clean Rooms, AWS Clean Rooms, Delta Sharing, and Remote File Shares
- Automating audit evidence collection and reporting for InfoSec, legal, and third-party compliance reviews
- Identifying, designing, and implementing improvements to data platform operations, including automating manual processes, optimizing data delivery, and designing for reliability and performance
- Performing incident resolution, managing workspace health monitoring, optimizing cloud costs, and participating in on-call rotation
- Using modern AI-assisted development thoughtfully while independently validating code, tests, system behavior, and correctness
This is a hybrid position based in Denver, Colorado, requiring 3 days in the office (Tuesday, Wednesday, Thursday). Relocation assistance is available for candidates outside Denver. Candidates must be authorized to work in the United States.
REQUIREMENTS:
- Bachelor's degree in Computer Science, Engineering, or equivalent experience
- 3+ years of software engineering experience with focus on data platform engineering, external data sharing integrations, or backend development
- Proficiency in Python and SQL; familiarity with distributed data processing patterns and experience operating governed data environments
- Experience with Medallion Architecture (bronze/silver/gold) or similar layered data design patterns
- Experience building big data pipelines supporting data transformation, metadata, dependency management, and workload orchestration
- Experience collaborating with cross-functional engineering teams; proven ability to understand requirements, translate them into technical specifications, and prioritize projects
- Experience provisioning and managing cloud infrastructure (AWS, GCP, or Azure) with Terraform and maintaining reusable deployment modules
- Hands-on experience with AWS and Databricks; practical experience with Databricks Asset Bundles (DABs) highly preferred
- Understanding of tenant isolation, clean rooms, data privacy, and compliance requirements in cloud context; passion for building secure-by-default systems
