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TouchTunes · 11 hours ago

Staff Data Engineering Specialist

Schaumburg, IL

Full-time

Hybrid

Lead/Staff

TouchTunes is the world’s largest in-venue interactive music and entertainment platform, and they are seeking a highly skilled Staff Data Engineering Specialist to lead the design, development, and optimization of their data platform. This role involves architecting scalable data solutions, optimizing ETL/ELT pipelines, and partnering with various teams to enable AI/ML capabilities at scale.

Entertainment

No H1B

Responsibilities

Architect and build scalable data platforms using AWS services such as S3, Glue, Lambda, Redshift, EMR, and CloudWatch

Design and optimize end-to-end ETL/ELT pipelines using Databricks, PySpark, Python, and SQL to support batch and real-time data workflows

Define, build, and maintain data models and warehouse structures optimized for analytics and ML workloads

Implement and maintain CI/CD pipelines for data workflows and ML models using Jenkins, Git, and other DevOps tools

Experience building and supporting real-time data pipelines using tools such as Kafka, Kinesis, or Structured Streaming

Drive the adoption of DataOps and MLOps best practices, ensuring robust testing, observability, monitoring, and rollback strategies

Partner with machine learning engineers to enable scalable model training, deployment, and monitoring pipelines

Establish and enforce data quality, governance, security, and cataloging standards (e.g., Unity Catalog)

Evaluate and recommend new tools and frameworks that enhance the scalability and reliability of the data ecosystem

Mentor junior engineers, promote engineering excellence, and participate in architectural decision-making

Qualification

AWS servicesDatabricksPythonSQLCI/CD pipelinesDataOps/MLOpsETL/ELT pipelinesKafkaData securityOrchestration toolsProblem-solvingCommunication skillsMentoring

Required

Deep expertise in Databricks (clusters, jobs, Delta Lake, Unity Catalog, notebooks)

Proficiency in Python and PySpark for developing large-scale data processing jobs

Advanced SQL skills, including complex joins, window functions, CTEs, and performance tuning

Hands-on experience with Jenkins for CI/CD automation in data/ML workflows

Solid understanding of DataOps/MLOps practices, including version control, testing, monitoring, and deployment of data pipelines and models

Experience with orchestration tools such as Airflow, dbt, or similar

Familiarity with data security, compliance, and governance frameworks

Strong problem-solving and communication skills; ability to lead cross-functional technical discussions