Data Engineer

Data Pipeline Engineer IV 📍 Location: Mountain View, CA(Onsite only locals)/only W2 or Fulltime 🕓 Contract Role through our engineering services firm About the Role ⚡ Now Hiring: Data Pipeline Engineer IV – Cloud Data Services ✨ We’re collaborating with a global technology leader to hire a Data Pipeline Engineer IV — a key player in building and optimizing large-scale, cloud-based data ecosystems that power intelligent applications and services worldwide. In this role, you’ll architect, design, and implement robust, high-performance data pipelines that ingest, process, and deliver massive datasets across distributed systems. You’ll work hands-on with modern data technologies such as Apache Spark, Kafka, Airflow, and cloud platforms (AWS, GCP, or Azure) to ensure data reliability, scalability, and security across the enterprise. You’ll collaborate closely with data scientists, platform engineers, and product teams to enable real-time analytics, predictive modeling, and machine learning at scale. Your work will directly influence data-driven decision-making across product, business, and engineering functions. This position is ideal for data engineering experts passionate about big data, streaming architectures, and automation — professionals who thrive in solving complex data challenges and delivering seamless, high-quality data experiences that empower innovation. General Description: The Cloud services group is looking for world class engineers to join our technology innovation group focused on the rapid development of cloud based end-to-end mobile applications and services. This is a great opportunity for a talented Data Engineer to step up to the next level and build secure cloud services for users of the world’s best-selling mobile devices. The Samsung Knox Cloud Team is focused on productizing research projects and supporting their corresponding cloud-based service platforms and infrastructure. Position Summary: Looking for world class server software engineers with Big Data Infrastructure and Data warehousing experience to join our technology innovation group focused on the rapid development of AI driven cloud based end-to-end mobile applications and services. Responsibilities Include: · Implement, maintain and evolve big data platform and infrastructure · Responsible for designing, implementing and maintaining backend REST API Services and ETL processes for Predictive Data Modeling, Machine Learning, Personalization, Recommendation, and Business Intelligence system · Perform extensive research and analysis to make optimal architecture and design decisions · Write large amounts of code, perform code reviews, write unit tests and documentation · Interface with other groups including Product Management, QA and Operations · Create quick proof-of-concept prototypes · Work in a scrum team with ML & Cloud Engineers Requirements: · Minimum of 3 years of Hand-on experience in Big Data technologies like Apache Iceberg, Spark, Spark ML, & Kafka · Strong skills in statistical analysis: correlation analysis, regression analysis, univariate and multivariate analysis · Strong skills in algorithms, Data structures, UNIX/Linux, Scripting, Machine Learning (especially classification and unsupervised clustering), Data Modeling, Data warehousing, and Networking · Hands-on experience in building REST API’s · Team player with strong communication skills and ability to mentor ML & Cloud engineers in areas of Data Engineering · Desire to learn fast and pick up latest and greatest technologies · MS in Computer Science or equivalent experience Preferred: · Programming Language: Python · Preferred 7+ years of experience in Big Data Technologies: AWS EMR, Iceberg, Spark, Kafka, & YARN · Machine Learning: PyTorch, TensorFlow, Spark ML · REST API: Flask, FastAPI, or Django · Data Quality tools such as Monte Carlo, Great Expectations, or Databand · Experience with teams using MLflow 📩 Apply now and be part of shaping the future of data-driven cloud intelligence. #DataEngineering #BigData #CloudData #ETL #DataPipelines #Spark #Kafka #AWS #Airflow #HiringNow #MachineLearning #DataInfrastructure