Senior Data Engineer

Hybrid in Los Angeles, CA, US • Posted 8 hours ago • Updated 1 hour ago
Contract W2
6 Months
Occasional Travel Required
Hybrid
$75 - $80/hr
Fitment

Dice Job Match Score™

🤯 Applying directly to the forehead...

Job Details

Skills

  • SQL
  • Data Modelling
  • OLTP
  • Mongo DB
  • ETL
  • Star Schemas
  • JSON
  • REST API
  • GIT
  • GITHUB
  • Azure Data Factory
  • ADF
  • MS Fabric
  • DevOps
  • Python

Summary

*** IT'S A W2 CONTRACT ROLE, NO C2C/1099 ***

Title: Data Engineer

Location: LA / NYC /Nashville - (Hybrid (3 days/week)

Duration: 6 months (Possible extension)

Languages and Frameworks

  • MS SQL Server, strong production experience with schema design, complex query writing, stored procedure development, indexing, and query performance tuning.
  • MongoDB, hands-on NoSQL experience, including document modelling and integrating with relational systems.
  • Comfortable modelling data across relational and document-based systems, analysing schemas, and resolving data quality issues.
  • Experience with the Azure data stack preferred, including Azure Data Factory, and Microsoft Fabric.
  • Python, working proficiency for scripting, automation, and data pipeline support is a plus.

Tools

  • Experience maintaining projects using a distributed version control system such as Git and GitHub.
  • Experience in automated pipeline deployment and schemas into production environments.
  • You should be experienced with agile methods and the concepts behind continuous delivery.
  • We expect you to be passionate about database modelling, stored procedure writing, pipelines, and APIs, so we want to see your experience with security, testing, performance, JSON, and REST.
  • We are eager to hear about your experience and opinions around data quality, test strategy, and test automation.

Education

  • BS in Computer Science and a minimum of five years of experience delivering production solutions
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: 10106153
  • Position Id: 8986805
  • Posted 8 hours ago
Contact the job poster
Naresh Jagilapuram

Naresh Jagilapuram

Talent Acquisition Manager @ iSpace, Inc
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