Azure Data Engineer

Logic is seeking an Azure Data Engineer for an onsite role in Arlington, VA (USD 38–48 per hour). This position focuses on building and improving data solutions that drive reliable data pipelines, strong data quality, and effective ETL for migrating and deploying data across systems. You will serve as an SME, collaborating across teams while also providing technical guidance and mentorship to junior team members.

What you’ll get

• Medical, dental, and vision coverage
• Long-term disability coverage
• 401(k) plan
• Paid time off
• Access to benefits programs
• World-class learning resources

Responsibilities

In this role, you will design, develop, and maintain data solutions spanning data generation, collection, and processing. You will create and operate data pipelines, with a focus on ensuring data quality and keeping systems dependable as data moves across environments.

• Design, develop, and maintain data solutions for data generation, collection, and processing
• Create data pipelines
• Ensure data quality through collaboration and problem solving
• Implement ETL processes to extract, transform, and load data for migration and deployment across systems
• Develop innovative data solutions that optimize data generation, collection, and processing
• Implement advanced ETL processes to support efficient data migration and deployment
• Collaborate with cross-functional teams to identify and address data quality issues
• Stay updated with the latest industry trends and technologies to continuously improve data solutions
• Provide technical guidance and mentorship to junior team members
• Take ownership in team decisions, engaging with multiple teams and contributing to key decisions
• Act as an SME, collaborating and managing the team to perform

Requirements

• Minimum 3+ years of work experience with one or more of the following:
  • Databricks
  • PySpark
  • Azure Data Factory
  • Azure Synapse
  • Delta Live Tables
  • Azure Function Apps