By intertwining what we love to do with what we must do, life falls into alignment. This is the philosophy at Blast where we utilize rewards for gaming to bring balance to the galaxy.

Intrigued? As Data Engineer on our engineering team, you will be the subject matter expert in creating and maintaining a data pipeline (including ETL, databases and load balancing).

We are a team of hands-on polyglots and grandmaster gamers merging the worlds of fin-tech and gaming to bring valuable and immersive gaming experiences to improve the lives of gamers everywhere. This is an opportunity to set up and eventually lead a data organization within a well-funded and growing company.

Main Quest

• Building and deploying production code to our data engineering systems
• Make architecture decisions for our data platforms
• Function as tech lead in the agile planning and development process
• Build and maintain social media APIs for marketing and attribution
• Build and manage ETL processing that is efficient as to not strain resources
• Write queries for massive databases and integrate into production

Badges

• 5+ years as a Data Engineer, ETL engineer or Software Engineer
• 2+ years working specifically in ETL (we use AWS Glue, Redshift), stream data, data warehousing or machine learning type work
• 2+ years working with python
• Experience with load balancing
• Heavy SQL experience
• Heavy Apache Spark experience
• Track record of delivering scalable data solutions in production engineering environments

Power-Ups

• Experience producing data sets from analytics for search and other real-time consumer services
• Ad Network experience (Facebook Market, Google Analytics)
• Knowledge of modeling and/or algorithms

Loot System

• Health, dental and vision
• Unlimited PTO
• Fully stocked kitchen and breakroom
• Daily optional meditation session
• Balanced and fun work environment with talented people
• Skin in the game

Job Type: Full-time

Experience:

• ETL: 2 years (Preferred)
• AWS: 2 years (Preferred)
• Software Development: 4 years (Preferred)
• SQL: 2 years (Preferred)