Senior Data Engineer

We are looking for a technical leader who values focus, curiosity, and collaboration who can mentor other data data engineers-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.

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 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 More About You: Required: 8+ years of professional data engineering and programming skills 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 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: 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 leading audio content and entertainment company. As champions of audio, we connect with people in the moments that matter - delivering trusted local news, passionate sports and your favorite music across 220+ radio stations, premium podcasts, live events and digital experiences that reach more than 200 million listeners every month.