Backend Engineer
Core
Design, build, and maintain scalable data pipelines and distributed systems to process billions of data points for market research and analytics.
Role type
Senior Backend Engineer (Data Infrastructure)
Builds
High-availability data pipelines, microservices, and data architecture for strategic intelligence products.
Domain
Market Research / Data Analytics / Distributed Systems
Deliverable
production ML models
Required skills
Python, Golang, Java, Kafka, MySQL, Postgres, MongoDB, Cassandra, ScyllaDB, HBase, Redis, Aerospike, Microservices, API Gateway, Kubernetes, Docker, AWS/GCP/Azure, gRPC, Protobuf, Thrift
Preferred skills
AI agent/harness integration, DevOps practices, Security best practices, Performance tuning
Responsibilities
Develop and optimize super-scalable data pipelines for structured and unstructured data; Maintain and enhance stability and reliability of existing data systems and services; Construct and refine expandable, high-performance data architecture; Partner with teams to deliver high-quality data services; Design and implement data functionalities with intuitive visualizations; Oversee integration and maintenance of third-party client data; Enforce data governance, security, and compliance best practices.
Seniority
Senior, hands-on IC