Data Engineer | Full Time | Denver Tech Center / OVG NY Corporate

Data Engineer | Full-Time | Denver Tech Center / OVG NY Corporate in Denver, Colorado | Careers at Denver Tech Center

Please Enable Cookies to Continue

Please enable cookies in your browser to experience all the personalized features of this site, including the ability to apply for a job.

Welcome page

Returning Candidate?

Log back in!

Data Engineer | Full-Time | Denver Tech Center / OVG NY Corporate

Location US-CO-Denver | US-NY-New York

Job Post Information* : Posted Date 7 hours ago(6/13/2026 2:20 PM)

Job ID 2026-32073

Location Name Denver Tech Center

Category Marketing

Type Regular Full-Time

Location : Location US-CO-Denver

Job Post Information* : External Company Name Oak View Group

Job Post Information* : External Company URL https://www.oakviewgroup.com/

Location : Postal Code 80237

Location : Address 5050 S. Syracuse St, 8th Floor

Additional Locations US-NY-New York

Job Post Information* : Post End Date 9/11/2026

Oak View Group

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. As we continue to grow and redefine the landscape of sports, live entertainment, and hospitality, Oak View Group is seeking a Data Engineering to join our dynamic team. This role will be crucial in supporting the design and maintenance of our data infrastructure with a strong focus on delivering data pipeline solutions. As we push the boundaries in sports, live entertainment, and hospitality, the Data Engineer will play a key role in managing and optimizing data processes within our Azure environment. This position will be an integral part of an agile team that works to enhance, build, and deliver data solutions in a secure, stable, and scalable way. As a technical contributor, you will be responsible for enabling new data assets and maintaining critical data pipelines. The ideal candidate will be passionate about data management, eager to develop within a rapidly evolving business landscape, and committed to contributing to our mission of delivering exceptional global experiences.

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

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).

This position will remain open until September 11, 2026.

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 NetSuite.
• 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.

Strengthened by our Differences. United to Make a Difference

At OVG, we understand that to continue positively disrupting the sports and live entertainment industry, we need a diverse team to help us do it. We also believe that inclusivity drives innovation, strengthens our people, improves our service, and raises our excellence. Our success is rooted in creating environments that reflect and celebrate the diverse communities in which we operate and serve, and this is the reason we are committed to amplifying voices from all different backgrounds.

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.

Options

Apply NowApply

Share this job with your Network.

Email this job to a friend.Refer this job to a friend.

We apologize for the inconvenience. The "Share" function is not working properly at this time. Please refresh the page and try again later. We appreciate your excitement about this opening!

Share on Social Media!

Need help finding the right job?

We can recommend jobs specifically for you! Click here to get started.

Application FAQs

Software Powered by iCIMS

www.icims.com