Data Platform Engineer - Remote

Overview

We are looking for a Data Platform Engineer to help develop our data pipeline frameworks, improve our modern data platform, and support the teams that rely on it.

In Short

• Develop scalable and efficient data pipelines to support analytics needs across the organization.
• Improve the performance, observability, and reliability of existing data systems.
• Collaborate with other teams to understand data needs and implement solutions.
• Ensure system security and data privacy compliance.
• Participate in code reviews and knowledge-sharing initiatives.

Requirements

• 4+ years of experience in software development as a data or backend engineer.
• Strong software engineering foundation and best practices in coding, design, and testing.
• Proficiency in Python and SQL for processing data.
• Experience with technologies like Airflow, Docker, Kafka, AWS, Terraform, Snowflake, or Git.
• Enjoy working with others and collaborating to solve problems efficiently.

Benefits

• Work remotely throughout the US or from our office in Manhattan, NY.
• Unlimited vacation policy.
• Paid volunteer opportunities.
• Technology stipend - $4,000 every 2 years.
• WFH stipend - $500 annually.
• Learning stipend - $500 annually.
• Full health benefits and retirement savings plans.
• Company paid parental leave.
• DICK’S Sporting Goods teammate discount.