Beyond SOF
Data Acquisition ETL Engineer (TS/SCI)
Reston, VA, USA - Full-time - Clearance: Top Secret/SCI
Job Description Serve as a data acquisition engineer performing Extract Transform Load (ETL) requiring an individual who is hard‑charging, self‑starting, and a problem solver; able to work through complex problems with great attention to detail. The individual will be part of a team created to develop workflows to acquire data, analyze, manage, maintain, and evaluate state‑of‑the‑art extraction, transforming, and loading (ETL) capabilities to maintain a timely data corpus. Determine data ingest quality issues and propose recommendations for their elimination. Assist with the formulation of data ingest processes. Provide subject matter support to provision information technology and ETL.
Qualifications
2+ years of experience with Java
1+ years of experience with a streaming data framework, including Apache Kafka
1+ years of experience with web‑based architecture, including HTML and JavaScript
1+ years of experience with ETL development and processes from diverse data sources
1+ years of experience with the development, maintenance, and enhancement of data mappings, workflows, and processes
1+ years of experience in working with Relational Databases
Experience with a variety of data feed types, including RSS, SOAP, and REST
Experience with data modeling concepts
TS/SCI clearance required
HS diploma or GED
Additional Qualifications
Experience with XML, and TXT transformations, including writing and applying XSLT to transform data
Experience with any of the following technologies: Apache Kafka, NiFi, Airflow, PostgreSQL, Pentaho Data Integration, Accumulo, Solr, Elastic Stack, Firefox, Chromium, or Kubernetes
Experience with DoD or IC clients
Experience as a database administrator
Experience with web scraping, including Document Object Model (DOM) exploration
Knowledge of the Agile software development process, including Scrum and Kanban
Ability to map and document needed data elements in multiple databases to aggregate them under one schema
BA or BS degree preferred
Database Administration, ETL, or Business Intelligence‑related Certifications preferred
CompTIA Security+
#J-18808-Ljbffr
Job Description Serve as a data acquisition engineer performing Extract Transform Load (ETL) requiring an individual who is hard‑charging, self‑starting, and a problem solver; able to work through complex problems with great attention to detail. The individual will be part of a team created to develop workflows to acquire data, analyze, manage, maintain, and evaluate state‑of‑the‑art extraction, transforming, and loading (ETL) capabilities to maintain a timely data corpus. Determine data ingest quality issues and propose recommendations for their elimination. Assist with the formulation of data ingest processes. Provide subject matter support to provision information technology and ETL.
Qualifications
2+ years of experience with Java
1+ years of experience with a streaming data framework, including Apache Kafka
1+ years of experience with web‑based architecture, including HTML and JavaScript
1+ years of experience with ETL development and processes from diverse data sources
1+ years of experience with the development, maintenance, and enhancement of data mappings, workflows, and processes
1+ years of experience in working with Relational Databases
Experience with a variety of data feed types, including RSS, SOAP, and REST
Experience with data modeling concepts
TS/SCI clearance required
HS diploma or GED
Additional Qualifications
Experience with XML, and TXT transformations, including writing and applying XSLT to transform data
Experience with any of the following technologies: Apache Kafka, NiFi, Airflow, PostgreSQL, Pentaho Data Integration, Accumulo, Solr, Elastic Stack, Firefox, Chromium, or Kubernetes
Experience with DoD or IC clients
Experience as a database administrator
Experience with web scraping, including Document Object Model (DOM) exploration
Knowledge of the Agile software development process, including Scrum and Kanban
Ability to map and document needed data elements in multiple databases to aggregate them under one schema
BA or BS degree preferred
Database Administration, ETL, or Business Intelligence‑related Certifications preferred
CompTIA Security+
#J-18808-Ljbffr