As a Railroad19 employee, you will be part of a company that values your work and gives you the tools you need to succeed. Our headquarters is in Saratoga Springs, New York, but this position is 100% remote. Railroad19 provides competitive compensation and excellent benefits, including Medical/Dental/Vision/Pet Insurance, Paid Time Off, and 401 (k).
Core Responsibilities:
- Design and implement the UniForm write layer (Delta + Iceberg dual metadata).
- Build GCS → BigQuery ingestion pipelines for structured operational datasets.
- Develop and implement in Python and Spark.
- Implement Kafka-based CDC patterns for real-time and near-real-time ingestion.
- Develop data lineage, dependency tracking, and modular adapter code.
- Configure Snowflake Horizon external tables for zero-copy reads.
- All data hub tables are to be written once using Delta Lake with Iceberg UniForm enabled… readable by all target consumers without conversion.
- Implement and certify Delta Sharing endpoints for Databricks consumers.
- Build governed access layer components: RBAC, connector registry entries, tenant-scoped authorization.
- Align semantic layer models with LookML and KPI catalog definitions.
- Collaborate with cross‑functional teams to deliver end‑to‑end features.
- Troubleshoot issues across the full stack and contribute to code quality.
Skills/Experience:
- 6+ years of proven enterprise-level experience in Python & Spark
- Advanced experience in GCP BigQuery
- Strong working knowledge of Apache Iceberg, Delta Lake, Iceberg UniForm
- Experience with Delta Sharing; Kafka / CDC pipelines
- Specific work experience in Snowflake Horizon Catalog; Databricks Unity Catalog
- Solid experience with Data lake architecture & ingestion pipeline design
- Excellent Communication skills and the ability to work cohesively with multiple teams.
Preferred Experience – Nice to Have
- Prior delivery in enterprise SaaS, media, or advertising technology.
- Active daily use of AI-assisted development tools (Claude Code preferred).
