ETL Developer with SQL and Python Job at MANTECH, Chantilly, Fairfax County, VA

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  • MANTECH
  • Chantilly, Fairfax County, VA

Job Description

Salary: $100,000 - 140,000 per year Requirements:

  • High School Diploma with over 7 years of pertinent experience in Information Technology
  • Proficiency in software development, particularly with substantial Java development, data analysis/parsing, and SQL/database expertise
  • Familiarity with the complete data lifecycle, encompassing ingest through display in a Big Data context
  • Knowledge of Java-related technologies including JDK, J2EE, EJB, JDBC, and/or Spring, as well as experience with RESTful APIs
  • Capability to develop and execute ETL tasks within a Linux environment
  • Preferred experience with Hadoop, Hbase, and MapReduce
  • Familiarity with Elasticsearch
  • Experience with NiFi, Kafka, and Zookeeper
  • Active/current TS/SCI with Polygraph clearance
Responsibilities:
  • Design and implement large-scale data ingest systems in a Big Data setting
  • Optimize all phases of the data lifecycle, from planning to ingest and final presentation
  • Create and implement processes for data extraction, cleansing, transformation, loading, and replication/distribution
  • Develop custom solutions/code to integrate and utilize new as well as existing data sources
  • Collaborate with sponsor development teams to enhance application performance
  • Organize and maintain comprehensive documentation for team accessibility
  • Work alongside teammates, service providers, vendors, and users to innovate more efficient methods
Technologies:
  • Big Data
  • ETL
  • ElasticSearch
  • Hadoop
  • Java
  • Kafka
  • Linux
  • SQL
  • Spring
  • ZooKeeper
  • Java EE
  • Support

More:

We are MANTECH, seeking a dedicated and customer-focused ETL Developer to join our team in Chantilly, VA. In this role, you will play a crucial part in supporting mission-critical data operations by designing and optimizing large-scale data ingestion and processing solutions within a Big Data environment. Our aim is to enable reliable and efficient data pipelines that cater to analytic and operational requirements throughout the entire data lifecycle. Join us for an opportunity to collaborate with a dynamic team in a supportive environment.

last updated 17 week of 2026

Job Tags

Full time

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