Full-Time

Data Engineer

TS/SCI w/Poly

Posted on 11/21/2024

Parsons

Parsons

Compensation Overview

$117k - $210.6kAnnually

Mid

Quantico, VA, USA

US Top Secret Clearance Required

Category
Data Engineering
Data & Analytics
Required Skills
Python
Apache Spark
Java
Scala
Requirements
  • 4+ years of experience in data engineering or software engineering, with a focus on Apache Confluent.
  • Proficiency in Confluent, including topics, partitions, producers, consumers, and streams API. Familiarity with Confluent Connect and Confluent Streams is a plus.
  • Strong knowledge of programming languages such as Java, Scala, or Python.
  • Excellent analytical and troubleshooting abilities, with a strong attention to detail.
  • B.Sc. degree in data or computer sciences (or related field); can supplement experience in lieu of a degree with +4 years experience
  • Active TS/SCI w/Poly is required to start
Responsibilities
  • Develop, deploy, and maintain Confluent-based applications and data pipelines to facilitate real-time data processing.
  • Collaborate with data architects and other engineers to design scalable and efficient data streaming architectures.
  • Implement monitoring solutions to track Confluent performance and health, troubleshoot issues, and optimize throughput and latency.
  • Work with various data sources and sinks, integrating Confluent with databases, cloud services, and other data processing frameworks (e.g., Spark, Flink).
  • Create and maintain comprehensive documentation of Confluent architectures, configurations, and processes. Establish and enforce best practices for data streaming and Confluent usage.
  • Work closely with cross-functional teams, including developers, data scientists, and DevOps, to ensure seamless integration of Confluent solutions.

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

N/A