The Mom Project

Data Engineer, Mobile Cloud Service (Mountain View, CA)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (contract) in Mountain View, CA, requiring a Master’s degree and 3+ years of big data experience (e.g., Apache Iceberg, Spark, Kafka). Proficiency in REST APIs and machine learning is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 14, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Mountain View, CA
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🧠 - Skills detailed
#Apache Iceberg #Flask #MLflow #Data Modeling #FastAPI #Classification #Django #Clustering #PyTorch #Data Quality #ML (Machine Learning) #AWS EMR (Amazon Elastic MapReduce) #API (Application Programming Interface) #Documentation #Cloud #Unix #AI (Artificial Intelligence) #Big Data #Kafka (Apache Kafka) #BI (Business Intelligence) #YARN (Yet Another Resource Negotiator) #Scripting #Data Engineering #Code Reviews #AWS (Amazon Web Services) #Python #Scrum #REST (Representational State Transfer) #Predictive Modeling #TensorFlow #Regression #Spark (Apache Spark) #Linux #REST API #Computer Science #"ETL (Extract #Transform #Load)"
Role description
Our Customer is a Silicon Valley- based company that is engaged in researching emerging technologies. We are seeking a contract Data Engineer to support our Customer's business needs. This role is on-site in Mountain View, CA. Responsibilities • Implement, maintain, and evolve big data platforms and infrastructure • Design, implement, and maintain backend REST API services and ETL processes for predictive modeling, machine learning, personalization, recommendation, and business intelligence systems • Conduct research and analysis to inform optimal architecture and design decisions • Write production-level code, conduct code reviews, create unit tests, and produce documentation • Collaborate with cross-functional teams, including product management, QA, and operations • Build proof-of-concept prototypes for rapid experimentation • Work within a scrum team alongside ML and cloud engineers Skills And Qualifications • Master’s degree in computer science or equivalent experience • Minimum 3 years of hands-on experience with big data technologies such as Apache Iceberg, Spark, Spark ML, and Kafka • Strong background in statistical analysis including correlation, regression, univariate, and multivariate analysis • Proficiency in algorithms, data structures, UNIX/Linux, scripting, machine learning (classification and unsupervised clustering), data modeling, data warehousing, and networking • Hands-on experience building REST APIs • Excellent communication skills and ability to collaborate and mentor in data engineering • Strong desire and ability to quickly learn and apply new technologies Preferred • Proficiency in Python • 7+ years of experience in big data technologies such as AWS EMR, Iceberg, Spark, Kafka, and YARN • Experience with machine learning frameworks such as PyTorch, TensorFlow, and Spark ML • Experience with REST API frameworks such as Flask, FastAPI, or Django • Familiarity with data quality tools such as Monte Carlo, Great Expectations, or Databand • Experience working with MLflow in ML/AI team environments We offer a competitive salary range for this position. Most candidates who join our team are hired at the median of this range, ensuring fair and equitable compensation based on experience and qualifications. Contractor benefits are available through our 3rd Party Employer of Record (Available upon completion of waiting period for eligible engagements) Benefits include: Medical, Dental, Vision, 401k. An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.