Data Engineer

iHeartMedia • San Antonio, TX

1d • Onsite

About The Position

Join our team in a role with room to grow, reporting directly to the Director of Software Engineering. You'll work alongside data scientists and business stakeholders to turn data into reliable, production-ready solutions that drive decisions across the organization. If you're a self-motivated team player who enjoys a fast-paced environment and takes pride in delivering results, we'd love to hear from you.

Requirements

• 6+ years of professional experience in data engineering.
• Experience developing high-performance applications for large enterprises
• Hands-on AWS cloud experience (or a similar cloud platform), including Glue, CodePipeline, and ECS
• Strong proficiency in Python (including PySpark, Pandas, and DataFrames) and SQL
• Experience designing, developing, and maintaining data pipelines using AWS Glue or similar data-processing technologies
• Experience building and managing ETL/ELT workflows using Apache Airflow, AWS Step Functions, or similar orchestration tools
• Understanding of data engineering concepts, including ingestion, transformation, validation, storage, and pipeline monitoring
• Familiarity with data quality, pipeline monitoring, troubleshooting, and performance optimization
• Database experience with Postgres, MongoDB, DynamoDB, and Athena
• Experience with Git and collaborative software development practices
• Experience with agile development methodologies
• Proven track record of meeting project timelines with a sense of urgency

Nice To Haves

• Experience with AWS SageMaker or similar ML platforms
• Knowledge of Apache Iceberg and Delta tables

Responsibilities

• Develop, test, deploy, and maintain data solutions that support business requirements, web applications, models, and analytics
• Work closely with data scientists, analysts, product teams, and business stakeholders to understand requirements and deliver reliable data solutions
• Design, build, and maintain data pipelines and ETL/ELT workflows using PySpark, AWS Glue, Pandas, and orchestration tools such as Apache Airflow or AWS Step Functions
• Implement data ingestion, transformation, validation, storage, and pipeline monitoring
• Build infrastructure to support model training, scoring, and retraining, along with related reporting
• Deploy and manage applications and pipelines using AWS CodePipeline and ECS
• Monitor data quality, troubleshoot issues, and optimize pipeline performance
• Collaborate with a small, agile team
• Resolve technical issues through debugging and troubleshooting

Benefits

• Employer sponsored medical, dental and vision with a variety of coverage options
• Company provided and supplemental life insurance (pursuant to the collective bargaining agreement if applicable)
• Paid vacation and sick time
• Paid company holidays
• A Spirit day to encourage and allow our employees to more easily volunteer in their community
• A 401K plan
• Employee Assistance Program (EAP) at no cost – services include telephonic counseling sessions, consultation on legal and financial matters, emotional well-being, family and caregiving
• A range of additional voluntary programs, such as spending accounts, student loan refinancing, accident insurance and more!

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed