Audacy, Inc.
Join to apply for the Senior Data Engineer role at Audacy, Inc.
Pay Transparency The anticipated starting salary range for Denver, CO based individuals is $140,000/yr - $160,000/yr. Salary will be determined by education, experience, and location, as well as internal and external equity.
Overview Audacy is looking for a Senior Data Engineer to join our dynamic Data Engineering team. In this role, you’ll build and optimize scalable data infrastructure that supports critical business insights, product innovation, and operational excellence. You’ll collaborate with engineering, analytics, and product teams to design data‑forward solutions across a massive‑scale digital audio ecosystem.
Location: Denver, CO, New York, or Philadelphia. Work arrangement: Hybrid. Reporting to: Manager, Data Engineering. Department: Digital. Employment type: Full‑Time.
Benefits 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.
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.
Design and develop robust ETL/ELT processes for ingesting, transforming, and validating terabytes of structured data.
Troubleshoot complex data pipeline issues to determine root cause and corrective actions.
Research, analyze, recommend, and implement technical approaches for solving complex data transformation and integration problems within a Medallion data warehouse architecture.
Collaborate with business analysts, data scientists, and stakeholders to understand complex data problems and translate business requirements into technical solutions and a structured backlog.
Lead and mentor other data engineers to follow the team’s evolving standards and best practices.
Analyze, support and improve the performance, reliability, and scalability of our data infrastructure.
Define and implement data quality, data governance, privacy‑first practices, and validation mechanisms to ensure accuracy and compliance (e.g., GDPR).
Document pipelines, systems, and workflows to improve our internal data catalog.
Stay current with emerging technologies and evaluate their relevance in our stack.
Qualifications More About You:
8+ years of professional data engineering and programming experience building scalable ETL/ELT systems.
Degree in Computer Science or related field, or equivalent practical experience.
6+ years of experience with Python and SQL.
Advanced analytical problem solving and troubleshooting skills.
Extensive experience working with cloud data warehouses (e.g., BigQuery or Snowflake) and Google data tools (DataFlow, DataForm, Pub/Sub, GCS).
3+ years of experience with Airflow (Cloud Composer), data modeling (star/relational schema), and test case development.
Solid understanding of columnar vs. row‑based storage solutions and when to use each (e.g., Snowflake vs. Postgres).
3+ years of experience writing design documents and breaking work down into a well‑structured backlog.
Proven ability to work in agile, cross‑functional teams.
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 Audacy will never ask you to send money at any point during the hiring process. Legitimate representatives will only use email addresses ending in @audacy.com. If you receive suspicious requests, verify authenticity before responding.
About Us Audacy is a scaled, leading multi‑platform audio content and entertainment company differentiated by its exclusive, premium audio content. We operate one of the country’s two scaled radio broadcasting groups with leading positions across the country’s largest markets, a large podcast network, and a direct‑to‑consumer streaming platform. We are a major event producer and digital marketing solutions provider, and the unrivaled leader in local news and sports radio.
EEO Audacy is an Equal Opportunity Employer. Audacy affords equal employment opportunity to qualified individuals regardless of race, color, religion, sex, sexual orientation, gender identity, age, disability, or any other protected class. For accommodation requests, call 1-610-660-5614.
#J-18808-Ljbffr
Pay Transparency The anticipated starting salary range for Denver, CO based individuals is $140,000/yr - $160,000/yr. Salary will be determined by education, experience, and location, as well as internal and external equity.
Overview Audacy is looking for a Senior Data Engineer to join our dynamic Data Engineering team. In this role, you’ll build and optimize scalable data infrastructure that supports critical business insights, product innovation, and operational excellence. You’ll collaborate with engineering, analytics, and product teams to design data‑forward solutions across a massive‑scale digital audio ecosystem.
Location: Denver, CO, New York, or Philadelphia. Work arrangement: Hybrid. Reporting to: Manager, Data Engineering. Department: Digital. Employment type: Full‑Time.
Benefits 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.
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.
Design and develop robust ETL/ELT processes for ingesting, transforming, and validating terabytes of structured data.
Troubleshoot complex data pipeline issues to determine root cause and corrective actions.
Research, analyze, recommend, and implement technical approaches for solving complex data transformation and integration problems within a Medallion data warehouse architecture.
Collaborate with business analysts, data scientists, and stakeholders to understand complex data problems and translate business requirements into technical solutions and a structured backlog.
Lead and mentor other data engineers to follow the team’s evolving standards and best practices.
Analyze, support and improve the performance, reliability, and scalability of our data infrastructure.
Define and implement data quality, data governance, privacy‑first practices, and validation mechanisms to ensure accuracy and compliance (e.g., GDPR).
Document pipelines, systems, and workflows to improve our internal data catalog.
Stay current with emerging technologies and evaluate their relevance in our stack.
Qualifications More About You:
8+ years of professional data engineering and programming experience building scalable ETL/ELT systems.
Degree in Computer Science or related field, or equivalent practical experience.
6+ years of experience with Python and SQL.
Advanced analytical problem solving and troubleshooting skills.
Extensive experience working with cloud data warehouses (e.g., BigQuery or Snowflake) and Google data tools (DataFlow, DataForm, Pub/Sub, GCS).
3+ years of experience with Airflow (Cloud Composer), data modeling (star/relational schema), and test case development.
Solid understanding of columnar vs. row‑based storage solutions and when to use each (e.g., Snowflake vs. Postgres).
3+ years of experience writing design documents and breaking work down into a well‑structured backlog.
Proven ability to work in agile, cross‑functional teams.
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 Audacy will never ask you to send money at any point during the hiring process. Legitimate representatives will only use email addresses ending in @audacy.com. If you receive suspicious requests, verify authenticity before responding.
About Us Audacy is a scaled, leading multi‑platform audio content and entertainment company differentiated by its exclusive, premium audio content. We operate one of the country’s two scaled radio broadcasting groups with leading positions across the country’s largest markets, a large podcast network, and a direct‑to‑consumer streaming platform. We are a major event producer and digital marketing solutions provider, and the unrivaled leader in local news and sports radio.
EEO Audacy is an Equal Opportunity Employer. Audacy affords equal employment opportunity to qualified individuals regardless of race, color, religion, sex, sexual orientation, gender identity, age, disability, or any other protected class. For accommodation requests, call 1-610-660-5614.
#J-18808-Ljbffr