Senior Data Engineer

Senior Data Engineer (Python/PySpark/Airflow) | Hybrid in Los Angeles, Seattle, or New York | Contract/W2 Only! There are no Corp-to-Corp options or Visa Sponsorship available for this position. Optomi, in partnership with a global leader in the entertainment industry, is seeking a Senior Data Engineer for a hybrid role based out of their Orlando, FL office. This individual will join the Activation team, playing a key role in the design, development, and support of a cutting-edge Data Integration Platform that powers data ingestion, transformation, and delivery across the enterprise. This is a high-impact opportunity to contribute to a platform that acts as the connective tissue between internal systems, driving seamless data activation and integration at scale. What the right candidate will enjoy: • Long-term, high-visibility engagement! • Working with large-scale, real-time and batch data systems! • A collaborative and forward-thinking engineering culture! • Building tools that enable data-driven decision-making across the business! Experience of the right candidate: • Bachelor’s degree in Computer Science, Engineering, or related field. • 5+ years of professional experience in software and/or data engineering. • Strong development experience with Python (PySpark preferred), with additional experience in Scala or Java. • 2+ years working with Apache Spark, especially PySpark Streaming. • Proficiency in SQL for data transformation and ETL. • Experience developing data pipelines and APIs for data sharing and delivery. • Familiarity with Docker and containerization. • Hands-on experience with Airflow or similar workflow orchestration tools. • Solid foundation in distributed systems and software engineering principles. • Strong testing practices using frameworks such as pytest or JUnit. Preferred Qualifications: • Experience with cloud platforms such as AWS, Databricks, and Snowflake. • Exposure to QA/QE practices and test automation. • Experience mentoring junior engineers and leading engineering best practices. • Familiarity with self-service enablement platforms and reusable component design. Responsibilities of the right candidate: • Design and build scalable, fault-tolerant data pipelines and services (real-time and batch). • Develop and maintain Activation Data Products for data sharing and delivery. • Create reusable components to support self-service integration and activation. • Collaborate cross-functionally with product managers, program managers, QA, and other engineers. • Lead code reviews and champion engineering excellence within the team. • Mentor junior engineers and support professional development within the team. • Represent the team in organization-wide technical initiatives and platform improvements. What we’re looking for: • Proven ability to design and scale data-intensive systems in a modern cloud environment. • Demonstrated success building data infrastructure to support high-volume integration needs. • Experience leading projects and driving technical decision-making. • Strong communication skills and ability to collaborate across technical and non-technical stakeholders. • Passion for clean, maintainable code and continuous improvement of engineering practices.