Job Title: Senior Data Engineer
Location: Washington DC (Hybrid 20%)
Duration: Long Term Contract
Technical Skills: Years/Level of Experience
Data Engineering (10+ yrs experience)
Extract Transform Load (ETL) (10+ yrs experience)
Apache Kafka (10+ yrs experience)
AWS Architecture (10+ yrs experience)
Databricks Unified Data Analytics Platform (10+ yrs experience)
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.
Education Level : College
Work Location On-site (Government / AFS Site): Washington DC
On-site %: 20%
Clearance Required: Public Trust
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