Principal Data Engineer

Overview

Hybrid
90 - 95
Contract - W2
Contract - 12 Month(s)
No Travel Required
Unable to Provide Sponsorship

Skills

Data Engineering
Databricks Unified Data Analytics Platform
Apache Kafka
AWS Architecture
Extract Transform Load (ETL)

Job Details

Technical Skills:

Data Engineering – 12+ years

Databricks Unified Data Analytics Platform – 10+ years

Apache Kafka – 10+ years

AWS Architecture – 10+ years

Extract Transform Load (ETL) – 10+ years

Role Description: 

  The Principal Data Engineer is expected to work across multiple source systems, transforming how data is accessed, managed, and utilized across the organization. The engineer must be highly experienced in designing and implementing robust data pipelines, optimizing data infrastructure, and enhancing data feeds to improve quality, availability, and scalability. This may include Kafka streaming, batch ETL, or API data interfaces.  The engineer will work in an agile software development environment, collaborating with cross-functional teams to deliver innovative solutions that empower data-driven decision-making.

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.