Data Engineer

Overview

On Site
BASED ON EXPERIENCE
Contract - Independent
Contract - W2
Contract - 12+ mo(s)

Skills

Design Of Experiments
Spring Framework
Software Development
Regulatory Compliance
Agile
Scrum
DevOps
GitHub
Progress Chef
Jenkins
Docker
Kubernetes
Nagios
New Relic
Google Cloud Platform
Google Cloud
Splunk
API Management
Microservices
Relational Databases
Database
Data Structure
Data Flow
Data Analysis
Apache Spark
RDBMS
Oracle NoSQL Database
MongoDB
Apache Cassandra
Big Data
Databricks
Web Services
SOAP
Statistics
Python
SQL
Data Modeling
Data Visualization
Analytical Skill
Problem Solving
Conflict Resolution
Predictive Analytics
Machine Learning (ML)
Health Care
Legal
Insurance

Job Details

Title: Data Engineer
Location: San Francisco, CA (Hybrid)
Pay: $80.00-$90.00/Houron W2 (DOE)
Contract: W2; 6 months contract (possibility of extension or conversion)
Client: Fortune 100 Company


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, Google Cloud Platform, 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 techniques

Job Description:
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)

Additional Skills:
  • Proficiency in statistical analysis and machine learning using tools such as Python and SQL is essential
  • Strong understanding of data modeling and data visualization techniques
  • Strong analytical and problem-solving skills
  • Strong predictive analytics and applied machine learning skills

Russell Tobin offers eligible employee s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors.

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