Data Engineer, Studios Analytics

What you'll do

• Build and maintain ETL/ELT pipelines and data models for title-level content performance KPIs; ensure data quality, monitoring, and SLAs.
• Own the data behind content performance products and partner with analytics, product, and finance teams to deliver trusted reporting and self-service access.
• Automate data processes and develop tooling for data lineage, quality, and discoverability while contributing to technical design decisions.

What they ask for

• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field.
• 3+ years of data engineering experience and 3+ years developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes.
• Experience with scripting for automation (e.g. Python), advanced SQL, and building analytic or scientific data products or solutions.
• Experience building data pipelines or automated ETL processes; knowledge of distributed systems, data warehousing, and data quality.

Nice to have

• Master's degree in a related field; experience with cloud storage and computing technologies such as AWS Redshift, S3, Hadoop, etc., or big data technologies such as Hadoop, Hive, Spark, EMR.
• 6+ years of business intelligence and analytics experience; digital media or marketing experience; familiarity with data governance, lineage, and metadata management.

Pay

132,100.00 - 178,800.00 USD annually base salary

Tools

Python, SQL, AWS Redshift, S3, Hadoop, Hive, Spark, EMR

AI focus

The team has a dedicated AI enablement function, but no specific AI work is described for this role.