What We Need
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.
What You'll Do
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
What You'll Need
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
Preferred
Experience with AWS SageMaker or similar ML platforms
Knowledge of Apache Iceberg and Delta tables
What You'll Bring
Respect for others and a strong belief that others should do this in return
Expertise with various technical disciplines and applications
Close attention to detail and quality orientation
Ability to multitask on a variety of critical projects
Ability to work independently, while also collaborating with others
Strong communication skills, particularly when explaining complex technical information
Ability to provide solutions to problems in situations that are atypical/infrequent
Analytical thinking and the ability to identify patterns
Efficiency with own work and impact of team results
Informal leadership capabilities with an interest in mentoring less experienced team members
Location
San Antonio, TX: 20880 Stone Oak Parkway, 78258
Position Type
Regular
Time Type
Full time
Pay Type
Salaried
Benefits
iHeartMedia’s benefits offering is flexible and offers a variety of choices to meet the diverse needs of our changing workforce, including the following:
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!
The Company is an equal opportunity employer and will not tolerate discrimination in employment on the basis of race, color, age, sex, sexual orientation, gender identity or expression, religion, disability, ethnicity, national origin, marital status, protected veteran status, genetic information, or any other legally protected classification or status.
Non-Compete will be required for certain positions and as allowed by law.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Click Here to learn about the San Francisco Fair Chance Ordinance .
Our organization participates in E-Verify. Click here to learn about E-Verify.
