Audacy
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Senior Data Engineer
role at
Audacy, Inc. Pay Transparency: The anticipated starting salary range for Denver, CO based individuals expressing interest in this position is $140,000/yr. - $160,000/yr. Salary to be determined by the education, experience, knowledge, skills, abilities and location of the applicant, as well as internal and external equity. Overview
Audacy is looking for a Senior Data Engineer to join our dynamic Data Engineering team. In this role, youll be at the forefront of building and optimizing scalable data infrastructure that supports critical business insights, product innovation, and operational excellence. Youll collaborate with other engineering teams, analytics, and product teams to design and drive data?forward solutions across a massive?scale digital audio ecosystem. When you design data pipelines, optimize data models, or ensure the reliability and performance of our data platform, you 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. Responsibilities 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 teams evolving data engineering 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
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. 3+ years experience writing design documents and breaking work into a well?structured backlog. Proven ability to work in agile, cross?functional teams. Excellent verbal and written communication skills and a team player who enjoys learning and teaching.
Important Notes
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 countrys two scaled radio broadcasting groups, a large podcast network, and the Audacy direct?to?consumer streaming platform. Benefits
Audacy offers a comprehensive benefits package including health care, medical, dental, vision, telemedicine, flexible spending accounts, health savings account, disability, life insurance, critical illness, hospital indemnity, accident insurance, paid time off, 401(k) retirement plan, discounted employee stock purchase, student loan payment assistance, legal assistance, identity theft protection, home and auto insurance, and pet insurance. Location
Denver, CO, New York, or Philadelphia Hybrid work arrangement. EEO
Audacy is an Equal Opportunity Employer. Audacy affords equal employment opportunity to qualified individuals regardless of race, color, religion, sex, gender identity, national origin, age, disability, and other protected characteristics. Audacy provides reasonable accommodations to qualified individuals with disabilities who need assistance in applying electronically for a position. For accommodation requests, call 1?610?660?5614. Reasonable accommodation requests are considered on a case?by?case basis. #J-18808-Ljbffr
Senior Data Engineer
role at
Audacy, Inc. Pay Transparency: The anticipated starting salary range for Denver, CO based individuals expressing interest in this position is $140,000/yr. - $160,000/yr. Salary to be determined by the education, experience, knowledge, skills, abilities and location of the applicant, as well as internal and external equity. Overview
Audacy is looking for a Senior Data Engineer to join our dynamic Data Engineering team. In this role, youll be at the forefront of building and optimizing scalable data infrastructure that supports critical business insights, product innovation, and operational excellence. Youll collaborate with other engineering teams, analytics, and product teams to design and drive data?forward solutions across a massive?scale digital audio ecosystem. When you design data pipelines, optimize data models, or ensure the reliability and performance of our data platform, you 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. Responsibilities 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 teams evolving data engineering 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
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. 3+ years experience writing design documents and breaking work into a well?structured backlog. Proven ability to work in agile, cross?functional teams. Excellent verbal and written communication skills and a team player who enjoys learning and teaching.
Important Notes
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 countrys two scaled radio broadcasting groups, a large podcast network, and the Audacy direct?to?consumer streaming platform. Benefits
Audacy offers a comprehensive benefits package including health care, medical, dental, vision, telemedicine, flexible spending accounts, health savings account, disability, life insurance, critical illness, hospital indemnity, accident insurance, paid time off, 401(k) retirement plan, discounted employee stock purchase, student loan payment assistance, legal assistance, identity theft protection, home and auto insurance, and pet insurance. Location
Denver, CO, New York, or Philadelphia Hybrid work arrangement. EEO
Audacy is an Equal Opportunity Employer. Audacy affords equal employment opportunity to qualified individuals regardless of race, color, religion, sex, gender identity, national origin, age, disability, and other protected characteristics. Audacy provides reasonable accommodations to qualified individuals with disabilities who need assistance in applying electronically for a position. For accommodation requests, call 1?610?660?5614. Reasonable accommodation requests are considered on a case?by?case basis. #J-18808-Ljbffr