Our platform ingests and processes data from operational databases, telematics, and diverse product sources. Youll build robust backend services and data processing pipelines, leveraging state-of-the-art frameworks and cloud-native solutions, all while collaborating with Data Engineers, ML Engineers, Analysts, and Product Managers to turn real-world needs into resilient systems.
In this role youll:
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.
