Data Platform Engineer

Location

Schaumburg, Illinois (currently hybrid with up to 50% remote)

At Touchtunes, your work matters. We are seeking a highly skilled and experienced Staff Data Platform Engineer to lead the design, development, and optimization of our data platform. This role is ideal for someone who thrives at the intersection of cloud architecture, big data engineering, and enabling AI/ML capabilities  will partner closely with data scientists, analysts, Dev Ops, and engineering teams to drive scalable, secure, and high-performing data solutions.

• Architect and build scalable data platforms using AWS services such as S3, Glue, Lambda, Redshift, EMR, and Cloud Watch.
• 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 Dev Ops tools.
• Experience building and supporting real-time data pipelines using tools such as Kafka
  , Kinesis
  , or Structured Streaming
  .
• Drive the adoption of Data Ops 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.

• 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 Data Ops/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.

• Familiarity with AI development tools and environments such as Cursor, and other modern code generation, debugging, or co-piloting platforms.
• Experience with containerization and orchestration (e.g., Docker, Kubernetes).
• AWS or Databricks certifications are a plus

At Touch Tunes, your work impacts our customers as part of interesting projects that transform the in-venue entertainment industry. We foster open communication and collaboration across all levels, with approachable leaders who value all voices and empower you to excel and innovate. Our team thrives in an environment where fun meets hard work, and everyone is encouraged to be their authentic selves.

• Hybrid Work Environment: Hybrid schedule with 50% work-from-home and in-office time, with the ability to work anywhere in the world for up to 2 months per year.
• Financial Wellness: Annual performance bonus, long-term company bonus, 401k matching, life insurance.
• Comprehensive Benefits: Competitive health insurance and disability coverage, a Lifestyle Spending Account, access to telemedicine, and an unlimited sick days policy.
• Professional Development: Continuous hands-on learning with access to e-learning platform, tuition reimbursement, and peer mentorship.
• Accessibility: An inclusive workplace designed to accommodate people with disabilities.

Touch Tunes

At Touch Tunes, the world’s largest in-venue interactive music and entertainment platform, we’re all about sparking joy and human connection. That moment in a bar where someone at the next table cues the jukebox to play your favorite song? That’s what we do – our platform…