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Audacy, Inc. · 4 hours ago

Senior Data Engineer

Denver, CO

Full-time

Hybrid

Senior Level, Lead/Staff

$140K/yr - $160K/yr

8+ years exp

Audacy is a leading multi-platform audio content and entertainment company, and they are seeking a Senior Data Engineer to join their Data Engineering team. In this role, you will build and optimize scalable data infrastructure to support business insights and product innovation, collaborating with various teams to design data solutions across a large-scale digital audio ecosystem.

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 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

Qualification

Data EngineeringPythonSQLCloud Data WarehousesETL/ELT ProcessesData ModelingAirflowAnalytical Problem SolvingAgile MethodologiesCommunication Skills

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