4417 ETL Engineer

Job Requirements Chantilly, VA Top Secret Polygraph Unspecified Career Level not specified Salary not specified Join Premium to unlock estimated salaries Job Description

OVERVIEW

We are seeking a highly skilled Senior-level ETL Engineer to join our team delivering engineering tasks to advanced analytic applications across classified environments. You will develop sophisticated data pipelines and ETL processes for desktop and web-based analytic software, facilitate the bulk analysis of relational information, and enable applications that deliver data from diverse data sources.

GENERAL DUTIES

Design and implement complex data pipelines and ETL processes to support cyber investigative capabilities across multi-classification domains Architect and develop ETL workflows for highly sensitive data in classified environments Support IC Data Services requirements by integrating various intelligence data sources and systems Develop and maintain data analytics solutions for desktop and web-based visual analytic applications Establish applications that produce manageable, actionable intelligence from streams of structured and semi-structured data Design strategies for enterprise database systems and set standards for operations, programming, and security Construct and optimize large relational databases across multi-enclave environments (Unclassified, Secret, and Top Secret) Tune performance of large-scale data workflows, ensuring cost efficiency, low latency, and high availability Design and manage Elasticsearch/Opensearch clusters for fast search, indexing, and retrieval of large-scale datasets Integrate new systems with existing warehouse structures and refine system performance and functionality Implement CI/CD pipelines for data systems, automate monitoring/alerting, and enforce infrastructure-as-code practices Provide technical leadership and mentorship to other team members Participate in Program Increments (PIs) and Agile Release Train (ART) activities

REQUIRED QUALIFICATIONS

Bachelor's degree in Computer Science, Data Science, Engineering, or related field Minimum of 10 years of experience in data engineering or related field Experience with Agile methodologies Understanding of data warehousing and business intelligence concept Data analysis, query, aggregation, and visualization techniques ETL processes and data transformation SQL and database technologies (MySQL, PostgreSQL, Microsoft SQL) Software development fundamentals Data management and big data technologies Version control systems (Git) Python for data processing, automation and ETL workflow orchestration Elasticsearch or Opensearch (design, scaling, query optimization, cluster management) Data pipeline technologies (Apache Nifi, Cribl) Cross-domain ETL solutions for secure data transfer between classification levels Cloud platforms (AWS GovCloud, SC2S, C2S) May require occasional travel for Program Increment planning sessions May require flexible scheduling to support critical operations

DESIRED QUALIFICATIONS

Containerization and orchestration technologies (Docker, Kubernetes)

GraphQL:

schema design, API development, and query optimization DevSecOps practices and tools in classified environments Experience with RabbitMQ and Redis Knowledge of IC specific data formats, schemas and transfer protocols Prior work integrating intelligence data across multiple enclaves Cloud certification

CLEARANCE

Active Top Secret clearance minimum group id: 90943786 Apply now