Pyramid Consulting, Inc
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Pay Range $90.00/hr - $95.00/hr
Location Mountain View, CA (Hybrid)
Role Overview Immediate need for a talented Data Engineer - Spark ML. This is a 12+ Months Contract opportunity with long-term potential.
Key Responsibilities
Design, implement, and maintain backend REST API services and ETL processes for predictive data modeling, machine learning, personalization, recommendation, and business intelligence systems.
Build and maintain scalable data pipelines using Apache Iceberg, Spark, and Kafka.
Develop and maintain high-performance machine learning models and serve them via REST API services.
Collaborate with cross-functional teams to translate business requirements into data engineering solutions.
Qualifications
Spark ML
Minimum of 3 years of hands‑on experience in Big Data technologies like Apache Iceberg, Spark, Spark ML, and Kafka.
Skilled in algorithms, data structures, UNIX/Linux, scripting, machine learning (especially classification and unsupervised clustering), data modeling, data warehousing, and networking—with a strong drive to apply these in real‑world problem solving.
Must have experience in designing, implementing, and maintaining backend REST API services and ETL processes for predictive data modeling, machine learning, personalization, recommendation, and business intelligence systems.
Hands‑on experience in building REST API’s.
MS in Computer Science or equivalent experience.
Programming Language: Python.
Experience with teams using MLflow.
Benefits Employee benefits include health insurance, 401(k) plan, and paid sick leave.
Employment Type Contract
Seniority Level Not Applicable
EEO Statement Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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Pay Range $90.00/hr - $95.00/hr
Location Mountain View, CA (Hybrid)
Role Overview Immediate need for a talented Data Engineer - Spark ML. This is a 12+ Months Contract opportunity with long-term potential.
Key Responsibilities
Design, implement, and maintain backend REST API services and ETL processes for predictive data modeling, machine learning, personalization, recommendation, and business intelligence systems.
Build and maintain scalable data pipelines using Apache Iceberg, Spark, and Kafka.
Develop and maintain high-performance machine learning models and serve them via REST API services.
Collaborate with cross-functional teams to translate business requirements into data engineering solutions.
Qualifications
Spark ML
Minimum of 3 years of hands‑on experience in Big Data technologies like Apache Iceberg, Spark, Spark ML, and Kafka.
Skilled in algorithms, data structures, UNIX/Linux, scripting, machine learning (especially classification and unsupervised clustering), data modeling, data warehousing, and networking—with a strong drive to apply these in real‑world problem solving.
Must have experience in designing, implementing, and maintaining backend REST API services and ETL processes for predictive data modeling, machine learning, personalization, recommendation, and business intelligence systems.
Hands‑on experience in building REST API’s.
MS in Computer Science or equivalent experience.
Programming Language: Python.
Experience with teams using MLflow.
Benefits Employee benefits include health insurance, 401(k) plan, and paid sick leave.
Employment Type Contract
Seniority Level Not Applicable
EEO Statement Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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