Big Data Engineer - Top Secret Cleared

$120,001 - $120,001/Yr

SAIC - Cortlandt, NY

Full-time - Mid Level

Cortlandt, NY

Professional, Scientific, and Technical Services

About the position

This position supports the Joint Fires Network (JFN) initiative, aimed at enhancing Multi-Domain Joint Command and Control capabilities through the development and continuous improvement of the JFN system. The role involves providing expert support to ensure reliable data feeds, monitoring data quality, and collaborating with various engineering teams to optimize data ingestion processes.

Responsibilities

• Aid the team in delivering continual data feeds to users and monitoring the status of data quality and overall data ingest.
• Visualize, interpret, and report data findings in dynamic reports.
• Employ a variety of data manipulation and visualization tools to effectively convey current status and historical trends to leadership, users, and data team.
• Collaborate with platform, software, and other data engineers to (re)configure data ingestion pipelines to be more reliable.
• Support the incident management process to ensure that incidents are documented and resolved quickly.
• Perform root cause analysis to understand and prevent repeated occurrences of data outages.
• Develop and maintain software to automate monitoring of real-time feeds and alert for data issues.
• Process learnings and rely on historical data pipelines to improve data ingest.
• Support the design, development, testing, and implementation of web-based collaboration tools for data reporting.

Requirements

• Minimum five (5) years of data analysis/engineering experience.
• Minimum two (2) years of general IT support experience.
• Proficiency in scripting languages such as Python or Bash.
• Experience with Intelligence and Command & Control (C2) datasets including ELINT, COMINT, MASINT, and GEOINT.
• Knowledge in data mining, data modeling, statistics, and machine learning.
• Familiarity with deploying and managing container management via Kubernetes clusters.

Nice-to-haves

• Experience with open-source analytics and interactive visualization web applications.
• Familiarity with tools such as Docker/Podman, Kubernetes, Helm, NiFi, Kafka, Grafana, Prometheus, InfluxDB, and PowerBI.

Benefits

• Competitive salary range of $120,001 - $160,000.
• Ongoing application acceptance with no deadline.
• Flexible work hours and schedules as needed.