Data Engineer

iHeartMedia, Inc.

San Antonio (TX)

On-site

USD 120,000 - 150,000

Full time

4 days ago

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Benefits offered by this job

Medical, dental, vision

401K plan

Paid vacation

Life insurance

Volunteer Spirit day

Employee assistance program

Job summary

iHeartMedia, Inc. is seeking an experienced Data Engineer to design, build, and operate data platforms powering business requirements, web applications, models, and analytics.

The role partners with data scientists and stakeholders to deliver reliable data solutions on AWS. In this onsite San Antonio position, you’ll own end-to-end data ingestion, transformation, validation, storage, monitoring, and performance optimization while collaborating with a small, agile team to address technical

Qualifications

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: ingestion, transformation, validation, storage, and pipeline monitoring.
Familiarity with data quality practices, pipeline monitoring, troubleshooting, and performance optimization.
Database experience with Postgres, MongoDB, DynamoDB, and Athena.
Experience with Git and collaborative software development practices.
Experience working in agile development methodologies.
A proven track record of meeting project timelines with a sense of urgency.

Responsibilities

Develop, test, deploy, and maintain data solutions that support business requirements, web applications, models, and analytics.
Collaborate 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 capabilities.
Build infrastructure to support model training, scoring, and retraining, along with associated reporting.
Deploy and manage applications and pipelines using AWS CodePipeline and ECS.
Monitor data quality, troubleshoot issues, and optimize pipeline performance.
Work with a small, agile team and address technical problems through debugging and troubleshooting.

Skills

Data engineering

Team collaboration

Agile development

Problem solving

Communication

Tools

PySpark

AWS Glue

Pandas

Apache Airflow

AWS Step Functions

AWS CodePipeline

ECS

Postgres

MongoDB

DynamoDB

Athena

Git

AWS SageMaker

Apache Iceberg

Delta tables

Job description

The Data Engineer role at iHeartMedia, Inc. reports to the Director of Software Engineering and focuses on building dependable, production-ready data solutions. You will partner with data scientists and business stakeholders to develop pipelines and infrastructure on AWS.

Role Overview

In this onsite position in San Antonio, TX, you will design, build, and support data platforms that power business requirements, web applications, models, and analytics. The work includes end-to-end development and operational support for data ingestion, transformation, validation, storage, monitoring, and performance optimization.

Key Responsibilities

Develop, test, deploy, and maintain data solutions that support business requirements, web applications, models, and analytics
Collaborate 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 capabilities
Build infrastructure to support model training, scoring, and retraining, along with associated reporting
Deploy and manage applications and pipelines using AWS CodePipeline and ECS
Monitor data quality, troubleshoot issues, and optimize pipeline performance
Work with a small, agile team and address technical problems through debugging and troubleshooting

Required Qualifications

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: ingestion, transformation, validation, storage, and pipeline monitoring
Familiarity with data quality practices, pipeline monitoring, troubleshooting, and performance optimization
Database experience with Postgres, MongoDB, DynamoDB, and Athena
Experience with Git and collaborative software development practices
Experience working in agile development methodologies
A proven track record of meeting project timelines with a sense of urgency

Technologies

Tools and platforms used in this role include PySpark, AWS Glue, Pandas, Apache Airflow, AWS Step Functions, Python, SQL, AWS CodePipeline, ECS, Postgres, MongoDB, DynamoDB, Athena, Git, AWS SageMaker, Apache Iceberg, and Delta tables.

Preferred Qualifications

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

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 employees to more easily volunteer in their community
A 401K plan
Employee Assistance Program (EAP) at no cost, including telephonic counseling sessions and consultation on legal and financial matters, emotional well-being, and family and caregiving
Additional voluntary programs such as spending accounts, student loan refinancing, accident insurance and more

Location and Employment Details