Senior Data Engineer

• Design and evolve distributed, cloud-based data infrastructure that supports both real-time and batch processing at scale
• Build high-performance data pipelines that power analytics, AI/ML workloads, and integrations with third-party platforms
• Champion data reliability, quality, and observability, introducing automation and monitoring across pipelines
• Collaborate closely with engineering, product, and AI teams to deliver data solutions for business-critical initiatives

• 4+ years in software development and data engineering with ownership of production-grade systems
• Proven expertise in Spark/PySpark
• Strong knowledge of distributed computing and modern data modeling approaches
• Solid programming skills in Python, with an emphasis on clean, maintainable code
• Hands-on experience with SQL and NoSQL databases (e.g., PostgreSQL, DynamoDB, Cassandra)
• Excellent communicator who can influence and partner across teams

• Experience in high-growth, early-stage environments
• Familiarity with MLOps and deploying ML models into production data workflows
• A problem-solver at heart, excited by innovation and complex challenges

great equity