Avant is looking for a Senior Data Engineer to help elevate their data platform and scale smarter, by designing and modeling new datasets, delivering critical data for workflows, and championing data quality.
Requirements
- 5+ years of hands-on experience in SQL, data modeling, and data engineering.
- Expertise in building scalable, automated data pipelines using tools like dbt, Python, and Databricks.
- Solid experience optimizing query performance and tuning databases (ideally within Databricks and Postgres).
Responsibilities
- Design and model new, high-value datasets for our Databricks + dbt-based data platform.
- Collaborate closely with internal stakeholders to translate business needs into structured, actionable data assets.
- Deliver critical data for operational and product-facing workflows, ensuring reliability, timeliness, and accuracy.
- Champion quality by building reusable frameworks that enforce governance, observability, and performance across the platform.
- Level up the team by mentoring engineers, contributing to our culture of learning, and driving best practices in modern data engineering.
Other
- Agile mindset and experience working in disciplined, iterative environments.
- Excellent communication skills—you can talk tech with engineers and clarity with stakeholders.
- A natural sense of ownership, accountability, and pride in your work.
- This role is based on our downtown Chicago Office, located in the Merchandise Mart.
- We highly value collaboration and our hybrid schedule (M, T, Th in-office) enables flexibility to balance work and individual priorities.
