Jobs at Broadway Direct (Now Hiring) — 1 open

Data Engineer

New York, New York, United States · On-site

Senior

Duties and Responsibilities Data Infrastructure & Pipeline Engineering ● Design, build, and operate scalable data pipelines across Salesforce, Snowflake, and external systems (ticketing, lottery, partners) ● Leverage Fiv…

Skills: SQL, Data Modeling, Python, Snowflake, Salesforce

Data Engineer

Broadway Direct

New York, New York, United States • On-site

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Senior

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Full-time
Posted 76d ago
~40 hrs/week

Responsibilities

The Data Engineer will design, build, and maintain scalable data pipelines and infrastructure using Snowflake, AWS, and modern data stack tools. They will also own data modeling, quality frameworks, and operational workflows to support dynamic pricing and business analytics.

Requirements

Candidates must have strong proficiency in SQL, advanced data modeling, and experience with Python and cloud data warehouses like Snowflake. A deep understanding of ETL/ELT design patterns and experience managing data infrastructure in AWS or similar environments is required.

Full job description

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.

Related keywords

Data EngineeringSQLPythonSnowflakeAWSSalesforcedbtFivetranHightouchETLELTData PipelinesData ModelingDimensional ModelingCanonical DataAPI

About Broadway Direct

LinkedIn Visit site

Your ticket to Broadway.

Industry: Entertainment Providers
Company size: 11-50 employees
Headquarters: New York, NY
LinkedIn followers: 1,960

Broadway Direct - Your ticket to Broadway.

Offices: 1501 Broadway, New York, NY 10036, US · 250 W 52Nd St, New York, NY 10019, US

Media and EntertainmentTicketingEvent Management

View all jobs at Broadway Direct

About Broadway Direct

LinkedIn Visit site

Your ticket to Broadway.

Industry: Entertainment Providers
Company size: 11-50 employees
Headquarters: New York, NY
LinkedIn followers: 1,960

Broadway Direct - Your ticket to Broadway.

Offices: 1501 Broadway, New York, NY 10036, US · 250 W 52Nd St, New York, NY 10019, US

Media and EntertainmentTicketingEvent Management

View all jobs at Broadway Direct

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Jobs at Broadway Direct (Now Hiring) — 1 open

Data Engineer

Data Engineer

Tired of cold applications?

Responsibilities

Requirements

Full job description

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.

Related keywords

About Broadway Direct

About Broadway Direct

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