Data Engineer

Route is a leading post-purchase platform for modern ecommerce, focused on creating shopper confidence that fuels brand growth. The Data Engineer will be responsible for building and maintaining data pipelines, supporting data migration and ensuring data integrity while collaborating with various teams to enhance data accessibility and quality.

Responsibilities:

• Build and maintain ELT pipelines that ingest data from systems
• Co-own the mapping and migration of source data into the new 3NF EDW, ensuring data integrity, reducing redundancy, and maintaining automated unit and data tests
• Develop data observability processes and monitoring dashboards to track pipeline health, freshness, and data quality across Databricks
• Build new data and AI-powered tooling to improve the productivity of the data engineering team and broaden self-service data access for Route employees and external partners
• Help harden the Integration Pipeline by automating deployment of shared staging and production infrastructure for new pipelines and managing dependency updates for dbt and CI templates
• Support the full migration from Snowflake to Databricks, targeting completion by end of Q2 2027, including reporting services and ingest/egress jobs
• Coordinate with engineering, analytics, product, and business teams to define and prioritize data requirements and ensure end-to-end data lifecycle coverage for existing and new products
• Champion data democratization, help establish a company-wide data retention policy, and expand the foundation for a self-service Silver layer (EDW) that serves as a single source of truth

Requirements:

• 5+ years of formal, professional data engineering experience
• 4+ years of SQL, fluency in complex transformations, window functions, query optimization
• 3+ years of python, data pipeline development, scripting, testing, and package management (Poetry)
• 2+ years of experience with AWS (e.g. - S3, RDS, DMS, DynamoDB) across data-related services
• 1+ years of experience using Databricks, our primary development platform for this role
• Understanding of third normal form (3NF) data modeling and when to apply it
• Knowledge and application of data theory
• Working knowledge of data security practices and least-privilege access standards
• Experience with data access controls in cloud environments (IAM roles, catalog permissions, etc.)
• Experience using Terraform and GoLang
• PagerDuty / Grafana / Tableau, preferred experience