Prospance Inc

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Mountain View, CA, offering a contract position for 10+ years of experience. Key skills include Big Data technologies (Apache Iceberg, Spark, Kafka), REST APIs, and machine learning. An MS in Computer Science is required.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
760
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πŸ—“οΈ - Date
October 31, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Mountain View, CA
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🧠 - Skills detailed
#Classification #Computer Science #Unix #AWS EMR (Amazon Elastic MapReduce) #AWS (Amazon Web Services) #TensorFlow #Regression #Scripting #Data Modeling #REST API #Programming #Big Data #Clustering #Python #Data Engineering #Apache Iceberg #Linux #PyTorch #ML (Machine Learning) #MLflow #Scrum #Spark (Apache Spark) #Django #AI (Artificial Intelligence) #BI (Business Intelligence) #Cloud #Code Reviews #API (Application Programming Interface) #Kafka (Apache Kafka) #Documentation #REST (Representational State Transfer) #YARN (Yet Another Resource Negotiator) #Data Quality #"ETL (Extract #Transform #Load)" #Flask #FastAPI
Role description
Data Engineer - Iceberg | Contract | Location: Mountain View, CA (Onsite) Experience Level: 10+ years 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: Β· Implement, maintain and evolve big data platform and infrastructure Β· 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 Β· Perform extensive research and analysis to make optimal architecture and design decisions Β· Write large amounts of code, perform code reviews, write unit tests and documentation Β· Interface with other groups including Product Management, QA and Operations Β· Create quick proof-of-concept prototypes Β· Work in a scrum team with ML & Cloud Engineers Requirements: Β· Minimum of 3 years of Hand-on experience in Big Data technologies like Apache Iceberg, Spark, Spark ML, & Kafka Β· Strong skills in statistical analysis: correlation analysis, regression analysis, univariate and multivariate analysis Β· Strong skills in algorithms, Data structures, UNIX/Linux, Scripting, Machine Learning (especially classification and unsupervised clustering), Data Modeling, Data warehousing, and Networking Β· Hands-on experience in building REST API’s Β· Team player with strong communication skills and ability to mentor ML & Cloud engineers in areas of Data Engineering Β· Desire to learn fast and pick up latest and greatest technologies Β· MS in Computer Science or equivalent experience Preferred: Β· Programming Language: Python Β· Preferred 7+ years of experience in Big Data Technologies: AWS EMR, Iceberg, Spark, Kafka, & YARN Β· Machine Learning: PyTorch, TensorFlow, Spark ML Β· REST API: Flask, FastAPI, or Django Β· Data Quality tools such as Monte Carlo, Great Expectations, or Databand Β· Experience with teams using MLflow