Senior Data Engineer Data Engineering Architect

Benefits: 401(k) 401(k) matching Dental insurance Health insurance Paid time off Vision insurance Wellness resources Responsibilities: Design robust and scalable data system architecture to collect, process, and store large volumes of data from IoT devices. Design and build data systems that support real-time, customer-facing data applications, ensuring data integrity and efficient retrieval processes. Design and build a data validation framework to guarantee the accuracy and consistency of data across all stages of the pipeline, ensuring reliable insights and decision-making. Implement data architectures to continuously improve AI models through automated feedback loops and data collection processes. Optimize data processing workflows for AIoT tasks. Collaborate with product owners to translate data requirements into actionable data engineering solutions. Collaborate with other engineers and product owners to solve challenging problems. Evangelize software engineering best practices and lead by example. Qualifications: Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. 5+ years of proven experience in data engineering, with a strong focus on data warehousing and data system architecture. Expertise in designing and building IoT data systems. Expertise in architecting systems that power high-volume consumer applications. Expertise in big data and streaming technologies (Python, Java, Kafka, Spark, Spark Streaming). Expertise in modern database technology (MongoDB, ElasticSearch, StarRocks, S3, Snowflake, BigQuery, etc.). Experience with data annotation tools and processes for machine learning datasets. Familiarity with MLOps practices and tools for managing AI model lifecycles. Knowledge about deploying systems into a production Cloud Native Environment (AWS or similar). Experience in Java Spring Framework is a plus. Experience with video data handling and image processing is a plus.

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