About this role
Railroad19, Inc is seeking a Senior Data Engineer with deep, hands‑on experience in building modern lakehouse architectures on GCP. This role focuses on designing, developing in Python & Spark, and delivering reusable data‑sharing adapters that connect BigQuery‑backed data products to Snowflake and Databricks using Iceberg UniForm and Delta Sharing.
About Railroad19:
At Railroad19, Inc, we develop customized software solutions and provide software development services. We’re a specialized team of developers and architects. As such, we only bring an “A” team to the table, through hard work and a desire to lead the industry — this is our company culture — this is what sets Railroad19 apart.
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).
NO 1099, C2C, Corp-to-Corp; only full-time employment.
NO Agencies.
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).