Senior Data Engineer

Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth. About Netradyne: Netradyne provides AI-powered technologies for fleet management and safer roads. An award-winning industry leader in fleet safety and video telematics solutions, Netradyne empowers thousands of commercial fleet customers across North America, Europe, and Asia to enhance their driver performance, reduce risk, and optimize operations. Netradyne sets the standard among transportation technology companies for enhancing and sustaining road safety, with an industry-leading 25+ billion miles vision-analyzed for risk and an industry-first driver scoring system that reinforces safe behaviors. Founded in 2015, Netradyne is headquartered in San Diego with offices in San Francisco, Nashville, the UK and Bangalore. For more details visit: www.netradyne.com Job Overview: Job Overview: As a Senior Data Engineer at Netradyne, you will build and scale data platforms that power real-time AI and ML systems at the core of our fleet safety products. You will design and operate high-throughput streaming pipelines and production-grade data systems deployed at large scale, working closely with Data Science and ML teams to bring AI solutions to life in a fast-paced, impact-driven environment. Key Responsibilities: Build and maintain scalable data pipelines for real-time and batch processing (Kinesis, SQS-based systems). Develop data platforms supporting ML workflows including feature generation, training, and validation pipelines. Optimize pipeline performance, reliability, and scalability across high-volume environments. Develop backend components and services for data processing systems. Deploy, monitor, and troubleshoot production data systems. Work with distributed systems in containerized environments (Docker, Kubernetes/EKS). Collaborate with Data Science and ML teams to productionise AI solutions. Follow engineering best practices including code quality, testing, and CI/CD pipelines (Jenkins). Work with AI agents to solve data engineering problems at hand Mandatory Skills: Bachelor’s degree in computer science or related field. Bachelor's/Master's degree in Computer Science or related field. 3–6 years of experience in Python-based data/backend engineering. Strong programming fundamentals — data structures, algorithms, and OOP. Experience with AWS services (Kinesis, SQS, Lambda, or similar). Experience building and managing data pipelines and workflows (Airflow/DAGs). Good understanding of data modelling and databases (RDBMS/NoSQL). Experience with Docker and Kubernetes. Hands-on experience with GitHub and CI/CD tools like Jenkins. Strong Linux fundamentals and debugging skills. Good problem-solving ability and attention to detail Preferred Skills Prior experience in working with Product or SaaS Companies. Experience with streaming/event-driven architectures. Exposure to NoSQL databases (MongoDB, Cassandra). Basic understanding of ML pipelines and concepts. Familiarity with modern AI concepts (RAG, AI agents, prompt engineering). Experience in high-scale, real-time data environments. Familiarity with Agile development methodologies Equal Opportunity Employer Statement: Netradyne is an equal opportunity employer and are committed to creating an inclusive environment for all employees. We are committed to an inclusive and diverse team. Netradyne is an equal-opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any leg…