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Job Description

Responsibilities

  • Build and maintain data pipelines and workflows
  • Develop data ingestion, transformation, and integration processes
  • Manage and document data schemas and metadata
  • Partner with analysts and business users to translate data needs into technical solutions
  • Run data quality checks and troubleshoot pipeline issues
  • Automate manual data processes to improve efficiency
  • Work hands-on with cloud-based data tools and platforms (Azure)
  • Stay current with emerging data technologies and best practices
  • Participate in sprint planning and agile ceremonies with the team

Requirements

  • Bachelor's degree in computer science, data engineering, information systems, or a related field
  • 1–3 years of experience in a data engineering or analytics support role
  • Proficiency in SQL and relational databases
  • Working knowledge of Python for data processing
  • Understanding of data modeling, ETL processes, and data warehousing concepts
  • Strong communication skills and ability to work cross-functional
  • Collaborative mindset with a desire to learn from senior team members in a mentorship-driven environment

Technologies

  • Azure
  • SQL
  • Python
  • Power BI
  • CRM systems

Benefits

  • Dental insurance
  • Health insurance
  • Vision insurance

What’s in it for you?

A welcoming, team-oriented environment with hands-on experience at a Fortune 100 company through Eight Eleven Group. The role includes health, dental, and vision benefits, weekly pay, holiday paid time off, and sick leave.

Application Question(s)

  • Will you now, or in the future, require sponsorship for employment visa status (e.g. H-1B visa status)? (Yes or No)

Pay

$38.00 - $46.00 per hour

Work Location

Remote

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