Data Engineer

Senior Data Engineer (W2 only) / Machine Learning Engineer (Big Data & AI) | On-site | Mountain View, CA Join a global leader in the consumer electronics and technology industry that is transforming how data and AI drive innovation at scale. We are seeking a highly skilled Senior Data Engineer / Machine Learning Engineer to design and build large-scale data platforms and machine learning pipelines that power advanced analytics and intelligent products. About the Role As a Senior Data Engineer / Machine Learning Engineer, you will work on cutting-edge Big Data and AI initiatives involving large-scale data processing, machine learning workflows, and cloud-based data engineering. You will build robust data pipelines, develop REST APIs, and collaborate closely with ML and Cloud Engineering teams to deliver scalable, production-grade solutions. This is an excellent opportunity for professionals who are passionate about Big Data, Machine Learning, and modern data platform technologies. Key Responsibilities • Design and develop scalable Big Data pipelines using Apache Spark, Apache Iceberg, and Kafka • Build and optimize machine learning data workflows and feature engineering pipelines • Develop REST APIs using Python frameworks such as Flask, FastAPI, or Django • Perform advanced statistical analysis including regression, correlation, and multivariate analysis • Implement data models and data warehousing solutions • Ensure high data quality using tools such as Great Expectations, Monte Carlo, or Databand • Collaborate with ML and Cloud Engineers to deploy scalable AI and analytics solutions • Mentor team members on best practices in Data Engineering and Machine Learning Operations • Work with experiment tracking and model lifecycle tools such as MLflow Required Qualifications • 3+ years of hands-on experience with Big Data technologies including Apache Spark, Apache Iceberg, and Kafka • Strong foundation in statistical analysis and machine learning algorithms • Experience with Python and UNIX/Linux scripting • Hands-on experience building REST APIs • Solid knowledge of algorithms, data structures, networking, data modeling, and data warehousing • Master’s degree in Computer Science or equivalent practical experience • Strong communication skills and collaborative mindset Preferred Qualifications • 7+ years of experience in Big Data and cloud-based data engineering • Experience with Amazon Web Services Amazon EMR, YARN, Spark, Kafka, and Iceberg • Machine learning experience using PyTorch, TensorFlow, and Spark ML • Experience with MLflow • Familiarity with data quality tools such as Great Expectations, Monte Carlo, or Databand Compensation & Details • Competitive hourly rate or salary (based on experience) • Location: Mountain View, CA (On-site) • Employment Type: Contract • Opportunity to work on advanced AI, Big Data, and Machine Learning initiatives within a world-class technology environment Why Apply? • Work on high-impact AI and data engineering projects • Gain exposure to modern Big Data and Machine Learning technologies • Collaborate with top-tier engineering teams • Contribute to innovative products used by millions worldwide Next Steps If you are passionate about Data Engineering, Machine Learning, and scalable cloud architectures, we’d love to hear from you. Apply today to be considered for this exciting opportunity. #DataEngineer #MachineLearningEngineer #BigData #ApacheSpark #ApacheIceberg #Kafka #Python #AWS #MLflow #ArtificialIntelligence #DataEngineering #ContractJobs #MountainView #OnsiteJobs