Data Platform Engineer

A Data Platform Engineer role focused on designing and building scalable, data-intensive applications for a leader in fraud prevention and AML compliance.

Location: Remote

Responsibilities

• Designing and building scalable backend systems.
• Creating APIs for efficient data retrieval.
• Developing data products that drive business insights.

Requirements

• 5+ years of experience building scalable backend systems.
• Experience with streaming pipelines using Apache Flink, Apache Beam, Airflow, and Apache Spark.
• Expertise in Go, Python, or Java, with a strong foundation in SQL and NoSQL databases like Bigtable, BigQuery, or DynamoDB.
• Proficiency with AWS or GCP, Docker, Kubernetes, and managing CI/CD pipelines.

Benefits

• Generous compensation in cash and equity.
• Early exercise options.
• Remote-first culture.
• Flexible paid time off and year-end break.
• Health insurance, dental, and vision coverage for US and Canada.
• 4% matching in 401k / RRSP for US and Canada.
• MacBook Pro delivered to your door.
• One-time stipend for home office setup.
• Monthly meal stipend.
• Monthly social meetup stipend.
• Annual health and wellness stipend.
• Annual learning stipend.

Additional Information

• Originally posted on Himalayas.