Senior Data Platform Engineer - AWS

About GameChanger:

We believe in the life changing impact youth sports have on and off the field. Sports encourage leadership, teamwork, responsibility, and confidence – important life lessons that have the power to propel our youth toward meaningful futures. We recognize that without coaches, parents, and volunteers, organized youth sports could not exist. By building the first and best place to experience the youth sports moments important to our community, we are helping families elevate the next generation through youth sports.

So if you love sports and their community building potential, or building cool products is your sport, GameChanger is the team for you. We are a remote first, dynamic tech company based in New York City, and we are solving some of the biggest challenges in youth sports today.

The Position:

We are looking for a Senior Data Platform Engineer to help develop our data pipeline frameworks, improve our modern data platform, and support the teams that rely on it. You'll build pipelines and you'll be relied on for your expertise in coding, design, and architecture to identify the right solution. You will report to the Data Engineering Manager on the Data Engineering Team, which is focused on delivering high-quality data and tooling on a reliable and scalable platform for analytics. Your core stakeholders will be other engineers as you build out tools and systems that will make it easier to move data securely and reliably.

What You'll Do:

• Your primary responsibility will be to build. You'll be developing and maintaining scalable and efficient data platforms serving analytics needs across the organization.

• You'll look for opportunities to improve existing systems' performance, observability, reliability, and scalability. Identify new infrastructure and software patterns to elevate systems for the next magnitude of scale.

• Collaborate with data producers and consumers across the organization to improve efficiency for their work.

• Ensure system security and data privacy compliance.

• Share your knowledge through design docs, technical documentation, code reviews, and mentoring.

Who You Are:

• You consider yourself a specialized software engineer and follow SE best practices. You're well versed in OOP principles and know how and when to apply them to data engineering.

• 5+ years of software development experience as a data or backend engineer.

• Expertise in Python and SQL for processing data.

• Experience in Airflow, Docker, Kafka, AWS, Terraform, Snowflake, or Git version control / GHA cicd.

• Experience creating detailed technical design documents.

• Motivated to …