Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer position on a long-term contract in San Francisco, CA, offering $95/hour on W-2. Key skills include Spark, Python, SQL, and experience with Oracle, MongoDB, Cassandra, Databricks, and APIs.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
760
🗓️ - Date discovered
May 6, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Hybrid
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
San Francisco Bay Area
🧠 - Skills detailed
#GCP (Google Cloud Platform) #API (Application Programming Interface) #SQL (Structured Query Language) #Splunk #Databricks #Data Pipeline #CHEF #Jenkins #Scala #Databases #Python #Scrum #Spring Boot #Big Data #Data Engineering #MongoDB #Oracle #GitHub #Kubernetes #Data Modeling #Security #Microservices #Spark (Apache Spark) #DevOps #REST (Representational State Transfer) #Compliance #Docker #Agile #Web Services #NoSQL
Role description
Long term contract-San Francisco CA
Hybrid in California
Data Engineer
Pay: $95 on w-2
Job id:82381
No third party resume or H-1's for this role
Our client looking for Proficiency in Spark, Python, and SQL is essential for this role. Experience with relational databases such as Oracle, NoSQL databases including MongoDB and Cassandra, and big data technologies, particularly Databricks, is required. Strong knowledge of data modeling techniques is necessary for designing efficient and scalable data structures. Familiarity with APIs and web services, including REST and SOAP, is important for integrating various data sources and ensuring seamless data flow. This role involves leveraging these technical skills to build and maintain robust data pipelines and support advanced data analytics.
SKILLS:
- Spark/Python/SQL
- Relational Database (Oracle) / NoSQL Database (MongoDB/ Cassandra) / Databricks
- Big Data technologies - Databricks preferred
- Data modelling techniques
- APIs and web services (REST/ SOAP)
Here are the top skills the manager is looking for - -Spring Boot framework, Quarkus, and Web technologies- Software Development experience and knowledge of the Software Delivery Lifecycle, Security Compliance, and Agile and SCRUM methodology, industry and competitor practices- Experience with DevOps technologies including GitHub, GitHub Actions, Chef, Jenkins, ArgoCD-- Experience with Docker and Kubernetes (AKS/GKE)- Experience with alerting mechanisms using Nagios, New Relic, GCP, or Splunk- Experience in API management and Microservices development- Spark/Python/SQL- Relational Database (Oracle) / NoSQL Database (MongoDB/ Cassandra) / Databricks- Big Data technologies - Databricks preferred- Data modelling
Long term contract-San Francisco CA
Hybrid in California
Data Engineer
Pay: $95 on w-2
Job id:82381
No third party resume or H-1's for this role
Our client looking for Proficiency in Spark, Python, and SQL is essential for this role. Experience with relational databases such as Oracle, NoSQL databases including MongoDB and Cassandra, and big data technologies, particularly Databricks, is required. Strong knowledge of data modeling techniques is necessary for designing efficient and scalable data structures. Familiarity with APIs and web services, including REST and SOAP, is important for integrating various data sources and ensuring seamless data flow. This role involves leveraging these technical skills to build and maintain robust data pipelines and support advanced data analytics.
SKILLS:
- Spark/Python/SQL
- Relational Database (Oracle) / NoSQL Database (MongoDB/ Cassandra) / Databricks
- Big Data technologies - Databricks preferred
- Data modelling techniques
- APIs and web services (REST/ SOAP)
Here are the top skills the manager is looking for - -Spring Boot framework, Quarkus, and Web technologies- Software Development experience and knowledge of the Software Delivery Lifecycle, Security Compliance, and Agile and SCRUM methodology, industry and competitor practices- Experience with DevOps technologies including GitHub, GitHub Actions, Chef, Jenkins, ArgoCD-- Experience with Docker and Kubernetes (AKS/GKE)- Experience with alerting mechanisms using Nagios, New Relic, GCP, or Splunk- Experience in API management and Microservices development- Spark/Python/SQL- Relational Database (Oracle) / NoSQL Database (MongoDB/ Cassandra) / Databricks- Big Data technologies - Databricks preferred- Data modelling
