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Data Engineer

Audacy, Inc. • Full-time • Denver, Colorado, United States • $120k - $135k / year • 8h ago

Overview:

Job Title: Data Engineer

Department: Digital

Reporting To: Manager, Data Engineering

Employment Type: Full-Time

Pay Transparency:

The anticipated starting salary range for Denver, CO based individuals expressing interest in this position is $120,000/yr. - $135,000/yr. Salary to be determined by the education, experience, knowledge, skills, abilities and location of the applicant, as well as internal and external equity.

Audacy offers benefits eligible employees a comprehensive benefits package to include: health care coordinator, medical, dental, vision, telemedicine, flexible spending accounts, health savings account, disability, life insurance, critical illness, hospital indemnity, accident insurance, paid time off (sick, vacation, personal, parental, volunteer), 401(k) retirement plan, discounted employee stock purchase, student loan payment assistance program, legal assistance, life assistance program, identity theft protection, discounted home and auto insurance, and pet insurance.

Location: Denver, CO, New York, or Philadelphia

Work Arrangement: Hybrid

Overview:

Audacy is looking for a Data Engineer to join our dynamic Data Engineering team. In this role, you’ll be at the forefront of building and optimizing scalable data infrastructure that supports critical business insights, product innovation, and operational excellence. You’ll collaborate with other engineering teams, analytics, and product teams to drive data-forward solutions across a massive-scale digital audio ecosystem.

Whether you’re designing data pipelines, optimizing data models, or ensuring the reliability and performance of our data platform, you’ll play a key role in shaping how Audacy utilizes big data on the magnitude of billions of rows to unlock insights, enhance decision-making, and drive successful business outcomes. We value focus, curiosity, and collaboration—and we offer an environment that supports your growth while respecting your work-life balance.

Responsibilities:

What You'll Do:

Design and develop batch and streaming data pipelines using cloud technologies (GCP, AWS, BigQuery, Snowflake, etc). GCP and BigQuery experience preferred.
Build, maintain, and optimize data models and dimensional warehouses to support analytics and BI tooling as well as other operational workflows.
Develop robust ETL/ELT processes for ingesting, transforming, and validating terabytes of structured data.
Extensive test-based development experience.
Support and improve the performance, reliability, and scalability of our data infrastructure.
Implement data governance, privacy-first practices, and validation mechanisms to ensure accuracy and compliance (e.g., GDPR).
Collaborate with data analysts, scientists, and product teams to deliver data products and actionable insights.
Document pipelines, systems, and workflows to improve our internal data catalog.
Mentor peers and contribute to the team’s evolving data engineering standards and best practices.
Stay current with emerging technologies and evaluate their relevance in our stack.

Qualifications:

More About You:

7+ years of professional data engineering and programming skills.
Degree in Computer Science or related field, or equivalent practical experience.
5+ years of experience with Python and SQL.
Extensive experience working with cloud data warehouses (e.g. BigQuery or Snowflake), and GCP cloud-based experience on GCP (e.g. DataProc, DataForm, Pub/Sub, GCS).
Hands-on expertise in Airflow (Cloud Composer), data modeling (star/relational schema), test case development and building scalable ETL/ELT systems.
Solid understanding of columnar vs. row-based storage solutions and when to use each (e.g., Snowflake vs. Postgres).
Proven ability to work in agile, cross-functional teams. Experience working in a scrum or kanban team environment. Ability to reliably scope and estimate your work.
Excellent verbal and written communication skills; a team player who enjoys learning and teaching. Willingness to dig into “why” to help build the right solutions and data products for our business to scale our data capabilities.

Important Notes::

Please be aware that Audacy will never ask you to send money at any point during the hiring process. Communication from legitimate Audacy representatives will only come from email addresses ending in @audacy.com. If you receive any suspicious requests or communications, please verify their authenticity before responding.

About Us:

Audacy is a scaled, leading multi-platform audio content and entertainment company differentiated by its exclusive, premium audio content. Audacy operates one of the country’s two scaled radio broadcasting groups with leading positions across the country’s largest markets, as well as one of the country’s largest podcast networks and the Audacy direct-to-consumer streaming platform. Audacy is a major event producer and a digital marketing solutions provider and is the unrivaled leader in local news and sports radio. Learn more at www.audacyinc.com, Facebook, X, LinkedIn and Instagram.

EEO:

Audacy is an Equal Opportunity Employer. Audacy affords equal employment opportunity to qualified individuals regardless of their race, color, religion or religious creed, sex/gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, national origin, ancestry, age (over 40), physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or other classification protected by applicable federal, state, or local law, and to comply with all applicable laws and regulations. Consistent with our commitment to equal employment opportunity, we provide reasonable accommodations to qualified individuals with disabilities who need assistance in applying electronically for a position with Audacy, unless doing so would impose an undue hardship. To request a reasonable accommodation for this purpose, please call 1-610-660-5614. Please note that this phone number is to be used solely to request an accommodation with respect to the online application process. Calls for any other reason will not be returned. Reasonable accommodation requests are considered on a case-by-case basis.

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