Cypress HCM
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of unspecified duration, offering a pay rate of $70 - $95 per hour. Key skills include Big Data technologies, REST API development, and statistical analysis. An MS in Computer Science or equivalent experience is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
760
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🗓️ - Date
October 11, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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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
#Data Modeling #BI (Business Intelligence) #Big Data #AWS (Amazon Web Services) #API (Application Programming Interface) #Cloud #Unix #Data Quality #MLflow #Data Engineering #Computer Science #PyTorch #Documentation #AI (Artificial Intelligence) #Python #Scripting #FastAPI #AWS EMR (Amazon Elastic MapReduce) #TensorFlow #Clustering #Django #Spark (Apache Spark) #Programming #Code Reviews #Classification #YARN (Yet Another Resource Negotiator) #Kafka (Apache Kafka) #REST API #Apache Iceberg #Linux #Regression #Scrum #REST (Representational State Transfer) #"ETL (Extract #Transform #Load)" #Flask #ML (Machine Learning)
Role description
Data Engineer
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. This Cloud Team is focused on productizing research projects and supporting their corresponding cloud-based service platforms and infrastructure.
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:
• 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:
• 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
• 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
Compensation: $70 - $95 per hour
ID#: 36469055
Data Engineer
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. This Cloud Team is focused on productizing research projects and supporting their corresponding cloud-based service platforms and infrastructure.
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:
• 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:
• 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
• 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
Compensation: $70 - $95 per hour
ID#: 36469055
