Snowflake Data Engineer

  • Sacramento, CA
  • Posted 7 hours ago | Updated 7 hours ago

Overview

Hybrid
$90,000 - $100,000
Contract - W2
Contract - 6 Month(s)
75% Travel

Skills

Amazon S3
Amazon Web Services
C#
Cloud Computing
Data Conversion
Database
Database Design
Database Security
Extract
Transform
Load
JSON
Kubernetes
Mainframe
Microsoft SQL Server
SaaS
Migration
Microsoft Visual Studio
Snow Flake Schema
Transact-SQL
Git
AWS Glue
Rest APIs
Docker
OpenShift
Data Engineering

Job Details

Snowflake Data Engineer

This is a Full-Time Hybrid-Remote (2-3 Days In-Office per Week) position in Sacramento, CA. Full benefits, PTO, and paid holidays are inclusive to this position.

Number of Available Positions: 1

Salary Target: $90K-$100K/YR (Salary is flexible based on the relevant years of professional experience and background related to the position)

Requirements: ship or Work Status Authorization; Prior experience supporting governmental agencies/projects; Completed Bachelor s Degree; 3+ years of experience with Microsoft SQL Server and T-SQL, ETL Tools, Rest APIs, JSON, and C#; 1+ years of experience with database design, database development, database security, data conversion (Mainframe), Kubernetes, OpenShift, Docker, Cloud Computing, Microsoft Visual Studio, Git Code Repositories, SaaS Cloud Database (Azure/AWS); Experience with AWS Glue, AWS S3, and Snowflake

Job Description

Perform data engineering in support of a migration effort between client's legacy platform (in Microsoft) to Snowflake.

Experience with AWS Glue as the ETL Tool

Experience with AWS S3 and Snowflake

MQ:

At least three (3) years of experience in developing and monitoring data pipelines, ETL/ELT (Extract Transform Load / Extract

At least three (3) years of experience with Microsoft SQL Server and T-SQL.

At least three (3) years of experience developing in ETL Tools.

At least three (3) years of experience developing Rest APIs, including experience with JSON and C#.

At least one (1) year of experience in database design, database development, and database security.

At least one (1) year of experience working with data conversion efforts involving legacy data formats and legacy data repositories such as Mainframe.

At least one (1) year of experience in Container Platforms such as Kubernetes, OpenShift, Docker, or in Cloud Computing.

At least one (1) year of experience with Microsoft Visual Studio and Git Code Repositories.

At least one (1) year of experience with SaaS Cloud Database in either AWS or Azure

*Bachelor s Degree in computer science, engineering, information systems, math or a technology- related field.

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