Data Engineer, Games Finance Analytics

This role is based in Seattle, WA.

Compensation:

$101,300 - $160,000 annually

Responsibilities:

• Develop and maintain infrastructure and data pipelines for Games Finance & Luna.
• Build and optimize self-service solutions for stakeholders.
• Interface with teams to extract, transform, and load data from various sources.
• Assist stakeholders in creating business requirement documents.
• Implement automated operational and quality control processes for datasets.
• Communicate information on current and future initiatives.
• Explore and adapt AWS technologies for efficiency.

Basic Qualifications:

• 1+ years of data engineering experience.
• Experience with data modeling, warehousing, and ETL pipelines.
• Proficiency in one or more query languages (e.g., SQL, HiveQL).
• Experience with one or more scripting languages (e.g., Python).

Preferred Qualifications:

• Experience with big data technologies (Hadoop, Spark).
• 3+ years of data engineering experience.
• Master's degree in a quantitative/technical field.