Backend/Data/Infrastructure Engineer

• Design & Develop Backend Services: Lead the design and implementation of backend systems and APIs for our distributed data platform
• Build Data Ingestion & Processing: Architect and develop scalable ingestion pipelines with streaming ETL, Change Data Capture, and large-scale batch and stream processing
• Own Data Platform Infrastructure: Implement and optimize scheduling, workflow orchestration, and data governance tools to support high-quality, compliant data flows
• Drive Engineering Standards: Establish and promote backend best practices, ensuring high reliability, code quality, and maintainability across the team
• Cross-functional Collaboration: Work closely with data engineers, ML engineers, product managers, and analysts to translate business needs into scalable backend systems
• Mentorship: Share your backend and infrastructure expertise by collaborating, reviewing, and mentoring fellow engineers.

• 5+ years of experience as a Backend, Data, or Infrastructure Engineer building large-scale backend systems and data-driven platforms.
• B.S. in Computer Science or a similar field
• Proven backend development skills with expertise in Python. Additional languages, a plus.
• Proven experience with distributed systems, microservices, building and maintaining robust backend APIs
• Proficiency with databases (SQL, NoSQL), data modeling, and streaming data architectures.
• Ability to work in an office environment a minimum of 3 days a week
• Enthusiastic about learning and adapting to the rapidly evolving world of AI and data-driven engineering
• Past experience with modern data stacks (e.g., Snowflake, Kafka, Airflow, DBT, Spark), an advantage
• Strong understanding of cloud infrastructure and orchestration (preferably AWS, K8s, Terraform/Pulumi), an advantage

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