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Senior Data Engineer (GCP • Python • Iceberg • Delta Lake • Kafka • Snowflake • Databricks) at Railroad19, Inc. Location Information: . 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).. . . $119,998 - $180,000 a year