Senior Data Engineer

What’s the position?

We are looking for a Senior Data Engineer to join our quickly growing product and technology teams. This position will report into our reporting team which will build data automation applications to ensure accurate and timely reports. Beyond reporting, this position has potential to grow to touch all aspects of the real money gaming operation, from customer service to data science applications.

As a Senior Data Engineer, you will:

Be a strong technical person on our team who helps drive innovation

Be responsible for producing and maintaining critical data deliverables / pipelines

Be technically talented, able to contribute quality code 

Be responsible for the quality, scope, and timeliness of all your deliverables

Because we operate with a startup mindset, we will be reliant on your technical skill, but also your passion and ownership over all aspects of your work. We are looking for individuals passionate about data in general, data technologies, and the use of these technologies to automate business processes.

Requirements
What are we looking for?

We are looking for an engineer who is willing to tackle problems with innovative ideas and quality technical implementations. We believe the perfect candidate isn’t interested in just what we’re building right now, but wants to understand where we’re going and how it impacts the downstream consumer or customer to ensure everything we create moves us closer to our goal: to optimize all aspects of online gaming and providing the best overall customer experience.

The ideal candidate will have:

Degree in computer science, a related field, or equivalent work experience (5+ years)

Strong communication and collaboration skills (both written and verbal)

Proven track record at using technology to automate data processes

Strong SQL skills, including Jinja templating / DBT

Experience with Snowflake and Airflow (Astronomer)

Experience with Java

Experience with Python including exposure to data science packages (NumPy, Pandas, scikit-learn)

Experience manipulating, processing and extracting value from large, disconnected datasets (Spark)

An understanding of AWS Cloud technologies and how to create scalable applications

Exposure to and interest in the following technologies:

AWS Serverless and serverless-supported languages

SQL and/or NoSQL experience (ex, MySql, Cassandra, DynamoDB, Snowflake)

Streaming technologies (Amazon Kinesis, Kafka)

Message Queues (SQS, RabbitMQ, ActiveMQ)

Comfort working within an agile development cycle and exposure to:

Linux development

Git and versioning software

Build systems (Maven, SBT, Gradle, etc) and common build patterns

Experience automating data flows and reporting in a regulated environment a plus

What’s in it for you?

We offer our employees more than just competitive compensation. Our team benefits include:

Competitive pay and benefits

Flexible vacation allowance

Flexible work from home or office hours

Startup culture backed by a secure, global brand

Opportunity to build products enjoyed by millions as part of a passionate team