Data Engineer

Railroad19, Inc.
Saratoga Springs, NY, United States
16 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
1 year minimum
Compensation
$120,000.0 - $180,000.0
Working hours
Regular working hours

Tech stack

Apache HTTP Server BigQuery Software Quality Data Hub Data Sharing Python (Programming Language) Role-Based Access Control Software Engineering Software Systems Data Ingestion Snowflake Apache Spark
+4 more
Data Lakes Data Lineage Apache Kafka Databricks

Job description

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., * 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.

Requirements

  • 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).

Benefits & conditions

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).

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