Versant Media logo
Versant Media
Posted 80 days agoVerified live 2d ago

Data Engineer II -AWS Data Platform (Redshift, Glue, and Airflow)

Brief overview

Remote
5+ yrsMinimum
Data warehousingOLAPMultidimensional database architectureSQLPythonAmazon RedshiftNoSQLAWS GlueApache AirflowAPIDimensional database architectureSystems life cycle methodologyVendor partner management

About the company

Versant Media logo
Versant Mediaversantmedia.com

Versant Media is a media company that offers television and digital entertainment services.

Visa sponsorship history

1 year sponsoring, last filed FY2026

Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.
$204,118median wage / yr
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
202611
Top sponsored roles
Senior Site Reliability EngineerSenior Manager, AndroidDirector of Software EngineeringPrincipal DevSecOps EngineerSenior Manager, Core Services

Job description

Summary

VERSANT Media is an industry-changing media and entertainment business that operates across various markets. They are seeking a Data Engineer II to design and develop data pipelines and support data warehousing environments, focusing on database architecture and ETL processes.

Responsibilities

  • The candidate will design and develop data pipelines, data marts, and schemas to support our data warehousing environments and analytical requirements
  • Database architecture and design of data warehouses & data marts to support presentation layers elastic cubes, reporting and analytics
  • Hands on experience with tsql or psql development, query tuning, table development, stored procedures, functions
  • Hands on experience with creating indexes to enhance performance of workloads
  • Hands on experience with development of ETL/ELT processes, share responsibilities for monitoring the data warehouse and data marts
  • Hands on development and support of data pipelines in Airflow, AWS Glue, Azure Data factory, Python, Golang
  • Hands on experience with cloud environments Azure, AWS, GCP
  • Troubleshoot and resolve data issues in production system
  • Communicate with business users and project managers to resolve business problems and create solutions
  • Use of technical experience to suggest better solutions to new and existing problems
  • Involvement with other IT departments providing systems communication processes
  • Meet with various IT groups (other departments and computer operations' staff) to address issues/concerns. This includes other business unit IT groups, as well as the technical operations group (Server Group and other Infrastructure groups)
  • Identify software solutions needed for new projects
  • Weekly reporting to management on project status and issues
  • On call production support

Skills

  • 5 years of data warehousing / OLAP experience
  • 5 years multidimensional database architecture and design experience
  • 5+ years of SQL Experience
  • 3+ years of Python Experience
  • 2+ years of Redshift Experience
  • 2+ years of NoSQL Experience
  • Team and vendor partner management
  • Clear understanding of principles and techniques of Web development
  • Experience with AWS Glue and Airflow
  • Experience with API
  • Dimensional database architecture experience
  • Formal systems life cycle methodology experience
  • Cloud Data Warehouse operations experience
  • Tableau, SSRS, big data and Realtime BI experience
  • Experience with data streaming

Qualifications

Must Haves

  • 5 years of data warehousing / OLAP experience
  • 5 years multidimensional database architecture and design experience
  • 5+ years of SQL Experience
  • 3+ years of Python Experience
  • 2+ years of Redshift Experience
  • 2+ years of NoSQL Experience
  • Team and vendor partner management
  • Clear understanding of principles and techniques of Web development
  • Experience with AWS Glue and Airflow
  • Experience with API
  • Dimensional database architecture experience
  • Formal systems life cycle methodology experience

Nice to Haves

  • Cloud Data Warehouse operations experience
  • Tableau, SSRS, big data and Realtime BI experience
  • Experience with data streaming

Benefits

  • Health insurance
  • Retirement plans
  • Paid time off

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