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Data Engineer Denver Tech Center​/OVG NY Corporate

Job in Denver, Delaware County, New York, 12421, USA
Listing for: Oak View Group
Full Time position
Listed on 2026-07-01
Job specializations:
  • Software Development
    Data Engineering
Salary/Wage Range or Industry Benchmark: 100000 - 120000 USD Yearly USD 100000.00 120000.00 YEAR
Job Description & How to Apply Below
Position: Data Engineer | Full-Time | Denver Tech Center / OVG NY Corporate
Location: Denver

Oak View Group (OVG) is the global leader in premium live entertainment infrastructure and services, with a platform spanning venue development and end-to-end capabilities across venue management, hospitality, and sponsorship sales. Founded in 2015, the company serves a collection of seven world‑class owned venues and a client roster of the most iconic arenas, stadiums, convention centers, music festivals, performing arts centers, and cultural institutions, spanning four continents.

Position

Summary

Oak View Group is hiring a Data Engineer based in Denver, CO, or NY, NY. Reporting to the Manager, Data Engineering, the Data Engineer will support the design and maintenance of our data infrastructure, focusing on delivering data pipeline solutions within our Azure environment. The role is an integral part of an agile team that works to enhance, build, and deliver data solutions in a secure, stable, and scalable way, enabling new data assets and maintaining critical data pipelines.

This role pays an annual salary of $100,000–$120,000 and is bonus eligible.

This position will remain open until September 11, 2026.

Benefits for Full-Time roles

Health, Dental and Vision Insurance, 401(k) Savings Plan, 401(k) matching, and Paid Time Off (vacation days, sick days, and 11 holidays).

Responsibilities
  • Develop and optimize data pipelines, databases, and ETL processes within Azure, supporting business intelligence, data science, and operational applications.
  • Automate data pipelines and workflows to streamline data ingestion, processing, and distribution tasks.
  • Implement data governance policies and procedures, ensuring compliance with data security and privacy regulations.
  • Collaborate with internal teams to understand data requirements and contribute to technical solutions that align with organizational goals.
  • Test and deploy data systems, ensuring high data quality and operational efficiency.
  • Manage and integrate data from external partners and vendors, enhancing our data capabilities and supporting innovative projects.
Qualifications
  • Bachelor’s degree in computer science, engineering, or a related technical field.
  • 3‑4+ years of experience in data engineering, with a solid understanding of data structures, pipeline design and automation, and data transformation patterns.
  • Strong working knowledge of SQL and relational database structures.
  • Highly proficient with Python (preferred) or another general‑purpose programming language for manipulating data.
  • Experience with Spark/PySpark for large‑scale data processing.
  • Strong foundation in Azure cloud services, with practical knowledge in building and managing data solutions using Azure Databricks, Azure Data Factory, and other Azure services.
  • Familiarity with dimensional modeling or data warehouse design principles.
  • Demonstrated ability to work collaboratively in a team environment and communicate effectively across multiple disciplines.
  • Knowledge of financial concepts including journal entries, general ledger structure, and financial reporting (Balance Sheet, Cash Flow, and P&L).
  • Familiarity with enterprise financial systems such as Oracle EPM or Net Suite.
  • Experience building or supporting data pipelines that feed financial reporting or consolidation workflows.
  • Understanding of database architecture, design patterns, and best practices to ensure system performance and long‑term maintainability.
Equal Opportunity Employer

Oak View Group is committed to equal employment opportunity. We will not discriminate against employees or applicants for employment on any legally recognized basis (“protected class”) including, but not limited to veteran status, uniform service member status, race, color, religion, sex, national origin, age, physical or mental disability, genetic information or any other protected class under federal, state, or local law.

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