Senior Data Engineer

Hybrid in Washington, DC, US • Posted 5 hours ago • Updated 5 hours ago

Contract W2

Contract Independent

No Travel Required

Hybrid

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

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

Summary

Technical Skills:

Skill	Years/Level of Experience
Data Engineering	10+ years
Extract Transform Load (ETL)	10+ years
Apache Kafka	10+ years
AWS Architecture	10+ years
Databricks Unified Data Analytics Platform	10+ years

Role Description:

As a Sr. Data Engineer, you will play a pivotal role in building a robust data analytics platform (in Databricks) to be used by a skilled team of data professionals conducting product analysis on a highly visible online product. The 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.

Dice Id: PTP9p2tQ2A8u0CC
Position Id: 8928872
Posted 5 hours ago

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