Data Engineer with DBT and Snowflake

Newport Beach, CA, US • Posted 3 days ago • Updated 3 hours ago
Contract W2
Contract Independent
12 Months
On-site
$75.00 - $80.98 per hour
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Job Details

Skills

  • Data Engineering
  • DBT
  • SnowflakeSQL
  • ETL/ELT
  • Python
  • CI/CD

Summary



Roth Staffing is looking for Data Engineer III for the client (life insurance company).
This is 12 months temp-contract role
Hourly Pay Rate: $75.00 -to- $80.98
This is Hybird role with 4 days onsite at Newport Beach, CA -or- Charlotte, NC


Work with technology and business stakeholders to understand data requirements
* Exposure to data warehousing concepts and must have participated in various implementations building data hubs, data marts etc.
* Build scalable and reliable data pipelines to support data ingestions (batch and /or streaming) and transformation from multiple data sources such as Flat Files, SQL, AWS RDS, S3 etc. and help centralize the information on Snowflake.
* Hands on experience in ingestion, transformation, and database technologies.
* Expertise in SQL, complex query writing, query organization, optimization.
* Create unit/integration tests and implement automated build and deployment.
* Participate in code reviews to ensure standards and best practices.
* Deploy, monitor, and maintain production systems.
* Create and update user stories in backlog, participate in agile scrum ceremonies.
*
* Collaborate with product owner, analysts, architects, QA and other team members

The experience you will bring:
* Minimum 2-year hands on ETL development experience using DBT
* Minimum 5+ year hands on experience working with SQL and Snowflake database
* Minimum 1-year hands on experience (not just training or POC) in using Git and Python
* Strong communication skills and work in collaborative environments.

What will make you stand out:
* Hands on Experience in ELT development using Matillion (ingestion tool), DBT (transformation tool) and Snowflake (Database technology)
* Experience working with Azure Dev Ops, Build and Release CI/CD pipelines
* Experience working with AWS and Control M
* Experience coding complex transformations (not just extract/load mappings) in DBT

Typical Qualifications:
* 5+ years of data engineering experience
* BS Degree: IT or Computer Science or Engineering



All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10100245B
  • Position Id: JN072026427417-459
  • Posted 3 days ago

Company Info

About Ledgent Technology

What do we do?

It's simple! At no cost to you, we help IT and Technology talent like you to connect with companies for either direct-hire opportunities, or we hire you to represent Ledgent Technology for contract or project-based assignments with companies throughout the U.S. and along the way, we strive to make life better for others.

Find a career in technology that makes you smile. Let Ledgent Technology help you through the process.

At Ledgent Technology, our priority is you. Whether your project or direct-hire technology job search was planned or not, the process can be stressful. We re here to help you through your journey, and in the end, our goal is to help you find the job that makes you smile. Our Promise: We love to create remarkable experiences every person, every time.

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