Staff Data Engineer

Posted Oct 31

This is a fully remote position, open to applicants in United States, +2 more locations.

📋 Description

• Become a part of the reporting team focused on developing data automation applications that ensure precise and timely reporting.

• Generate and sustain essential data deliverables and pipelines.

• Propel technical advancement as a key technical contributor.

• Contribute high-quality code.

• Take ownership of the quality, scope, and deadlines of deliverables.

• Utilize data technologies to streamline business processes through automation.

• Potentially engage in various real-money gaming operations, including customer service and data science applications.

• Design solutions with consideration for downstream consumers and customers.


⛳️ Requirements

• Bachelor's degree in computer science, a related discipline, or equivalent work experience (8+ years).

• Exceptional communication and collaboration skills, both written and verbal.

• Experience implementing AI to improve the complete data life cycle.

• Proven success in utilizing technology to automate data processes.

• Proficient SQL skills, including Jinja templating and DBT.

• Familiarity with Snowflake and Airflow (Astronomer).

• Experience working in an environment utilizing dbt and Snowflake.

• Proficient in Python, with exposure to data science libraries (NumPy, Pandas, scikit-learn).

• Skilled in manipulating, processing, and deriving insights from large, disparate datasets (Spark).

• Knowledge of AWS Cloud technologies and how to develop scalable applications.

• Familiarity with AWS Serverless and serverless-compatible languages.

• Experience with SQL and/or NoSQL databases (e.g., MySQL, Cassandra, DynamoDB, Snowflake).

• Exposure to streaming technologies (Amazon Kinesis, Kafka).

• Familiarity with message queue systems (SQS, RabbitMQ, ActiveMQ).

• Comfortable working within an agile development framework.

• Exposure to Linux development environments.

• Experience with Git and version control systems.

• Familiarity with build systems (Maven, SBT, Gradle, etc.) and common build practices.

• Experience in automating data flows and reporting within a regulated environment is advantageous.


🏝️ Benefits

• Competitive salary and benefits package.

• Flexible vacation policy.

• Startup culture supported by a stable, global brand.

• A diverse and inclusive workplace.

• Equal opportunity employer.

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