The Fountain Group
PAY: $90-95/hour W2 . Our company offers our consultants a suite of benefits after a qualification period including health, vision, dental, life and disability insurance.
Onsite role 4x/week in Mountain View, CA
W2 Candidates only, 1099/C2C not possible for this role.
Manager Notes
Seeking a Data Engineer to help with AI platforms — someone relatively senior, that has actual hands-on data engineering (pipelines, ETL) most importantly SPARK is mandatory, ideally Iceberg or similar, as we utilize these heavily. Will interface with ML engineers and translating the data to a format the Engineers need – a lot of feature conversion, talking with ML engineers, understanding their needs and understanding the raw data matches what they need to do their jobs effectively. Will build and manage data pipelines themselves... API less important, but may have some BS minimum, MS preferred — the more experience with Spark and iceberg the better. Minimum 3+ years.. prefer 5+ years. Want this person to make recommendations on how we can better utilize Iceberg. Mentioned some folks from smaller shops that are Spark + Iceberg SME's could work great. Some Data Engineer / MLOps hybrids could also work. Most important tools – Spark, Iceberg, Kubeflow M/L as part of the MLOPS platform with Spark and iceberg. Should have strong Python scripting skills. Main challenges – lots of raw data from testing, and it's not always clean or in usable format – client engineer adds a new field, we want to see this field in iceberg without having to wait for this to show up. Original Description
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
Minimum of 5+ years of Hand-on experience in Big Data technologies like Apache Iceberg, Spark, Spark ML, & Kafka Programming Language: Python 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
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
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Seeking a Data Engineer to help with AI platforms — someone relatively senior, that has actual hands-on data engineering (pipelines, ETL) most importantly SPARK is mandatory, ideally Iceberg or similar, as we utilize these heavily. Will interface with ML engineers and translating the data to a format the Engineers need – a lot of feature conversion, talking with ML engineers, understanding their needs and understanding the raw data matches what they need to do their jobs effectively. Will build and manage data pipelines themselves... API less important, but may have some BS minimum, MS preferred — the more experience with Spark and iceberg the better. Minimum 3+ years.. prefer 5+ years. Want this person to make recommendations on how we can better utilize Iceberg. Mentioned some folks from smaller shops that are Spark + Iceberg SME's could work great. Some Data Engineer / MLOps hybrids could also work. Most important tools – Spark, Iceberg, Kubeflow M/L as part of the MLOPS platform with Spark and iceberg. Should have strong Python scripting skills. Main challenges – lots of raw data from testing, and it's not always clean or in usable format – client engineer adds a new field, we want to see this field in iceberg without having to wait for this to show up. Original Description
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
Minimum of 5+ years of Hand-on experience in Big Data technologies like Apache Iceberg, Spark, Spark ML, & Kafka Programming Language: Python 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
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
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