Data Engineer
Nederlander Organization, Inc.
Duties and Responsibilities Data Infrastructure & Pipeline Engineering • Design, build, and operate scalable data pipelines across Salesforce, Snowflake, and external systems (ticketing, lottery, partners)• Leverage Fivetran and API-based ingestion frameworks to standardize and automate data ingestion from third-party platforms • Own API, webhook and file-based ingestion systems (SFTP, third-party feeds), ensuring reliability and observability • Manage AWS infrastructure supporting data ingestion, processing, and orchestration Data Warehouse & Modeling • Own Snowflake data architecture, including schema design, transformations, and data modeling • Develop and maintain transformation layers using dbt, including modular, testable, and well-documented models • Build canonical datasets and dimensional models supporting analytics, CRM, ticketing, and pricing • Optimize warehouse performance, cost, and scalability through clustering, partitioning, and query optimization • Manage schema evolution and deprecation of legacy data structures Data Quality, Governance & Reliability • Establish data quality frameworks using dbt tests, monitoring tools, and pipeline validation checks to detect and resolve inconsistencies, duplication, and missing data • Implement automated validation, monitoring, and alerting across pipelines • Own data hygiene standards across customer, order, and transaction datasets Automation & Systems Optimization • Develop Python-based workflows to automate ingestion, transformation, and operational processes • Reduce manual workflows through system design, tooling, and pipeline reliability improvements • Leverage HighTouch to operationalize data by syncing curated datasets back into Salesforce and other business systems • Partner with third-party developers to maintain ticket lottery systems • Continuously improve pipeline performance, latency, and failure recovery Reporting & Data Enablement • Build and maintain data pipelines supporting core reporting (sales, marketing performance, partner reporting)• Enable downstream analytics and BI through clean, accessible, and well-modeled datasets Dynamic Pricing Data Infrastructure & Modeling Support • Own the data infrastructure supporting dynamic pricing models • Design and maintain model-ready datasets across pricing, inventory, and demand signals using Snowflake and dbt • Partner with internal teams and external consultants to operationalize pricing models within Snowflake • Enable rapid iteration, backtesting, and deployment of pricing strategies QUALIFICATIONS Expertise • Strong proficiency in SQL and advanced data modeling (dimensional + canonical)• Experience building and operating data pipelines using Python and modern data stack tools (Fivetran, dbt, HighTouch or similar)• Deep experience with Snowflake or similar cloud data warehouses • Experience working with CRM systems (Salesforce preferred)• Experience managing data infrastructure in AWS or similar cloud environments • Strong understanding of ETL/ELT design patterns, APIs, and distributed data systems What Success Looks Like • Reliable, scalable data pipelines with minimal manual intervention • Improved data quality and reduced duplication/errors • Faster reporting and improved data accessibility across teams • Successful deployment and iteration of pricing models supported by robust data systems Growth & Development Opportunities • Opportunity to lead data architecture strategy, build scalable infrastructure, and directly impact revenue through pricing optimization systems. Equal Opportunity Employer
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Vacancy posted 3 days ago
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