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Jobs · Information Technology · Virginia

Mission Data Engineer (TS/SCI with Polygraph required)

Red Alpha · Chantilly, VA · 14 mo ago
On-siteInformation Technology$175k–$235k/yrFull-time

A little about us

The Red Alpha Data Science practice grew out of Red Alpha's reputation in Software and System Engineering with our Department of Defense clients. As customers asked for assistance with Data Science problems, the practice expanded. We take our work seriously, but not ourselves. Our team is pragmatic, focusing on understanding problems before solving them with data-driven solutions.

About the role

We are expanding our Data Engineering team in Northern Virginia to modernize our customer's data environment. This involves building a community-wide data hub using AWS S3, DynamoDB, and Kubernetes. The goal is to optimize user access to mission-essential and impactful data with new access patterns and services.

Responsibilities

  • Enable the widespread use of open source intelligence data for end users and data scientists across the intelligence community.
  • Expand our Data Lake offering on AWS S3, DynamoDB, and Kubernetes into a community-wide data hub.
  • Modernize the unclassified OSINT data layer with new access patterns and services that enable AI/ML enrichments, ETL pipelines, and data discovery and dissemination.
  • Build a next-generation scalable data architecture using your knowledge of the AWS ecosystem.

Requirements

  • Proficiency with a scripting language such as R or Python.
  • Experience with data science techniques and algorithms such as classification, clustering, random forests, hierarchical modeling, deep learning, Markov Chain Monte Carlo, and others.
  • B.S. Degree in Data Science, Mathematics, Computer Science or related field.
  • Active TS/SCI with Polygraph clearance.
  • Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field with equivalent experience.
  • 4+ years of recent Java and Spring Framework experience, including strong testing.
  • 1+ year of recent experience with AWS.
  • 1+ year of recent experience with Elasticsearch.
  • A team player and self-starter capable of high performance and flexibility in a dynamic working environment.

Qualifications

  • Experience operating Data Lakes or Data Platforms (eg: Databricks).
  • Knowledge on how to optimize storage technology for client access patterns and propagate CRUD operations throughout a distributed stack (including versioning nuances).
  • Hands-on experience with AWS S3, DynamoDB, EKS, DocumentDB, Lambda, Timestream, CloudWatch, EC2, ECS.
  • Experience building monitoring and alerting mechanisms for data pipelines (e.g., Prometheus, Grafana, Splunk).
  • Experience with Infrastructure as Code tools (e.g., Terraform, CloudFormation, AWS CDK, Ansible).

Skills

  • Pragmatic approach to Data Science & Engineering.
  • Understanding the problem before building a solution.
  • Lower tech useful solutions over shiny algorithms and dust on the shelf.

Benefits

  • Retailer 401(k) contributions, immediately vested.
  • Up to 5 weeks of leave (25 days of personal time off) and 11 paid floating holidays.
  • Premiums for comprehensive health, dental, and vision insurance.
  • $5250 per year towards ongoing education, trainings, certifications, and maintaining professional memberships.
  • Spend up to $300 per year on company branded merchandise featuring top quality brands such as Under Armour, Nike, Carhartt, YETI, etc.
  • Attend fun company events throughout the year such as our Oktoberfest, summer picnic, and annual holiday party!

Pay

The total package includes a competitive base salary and benefits such as health, life/disability, 401k, paid time off, professional development, and generous bonus programs. The projected pay range for this position is: $175,000 - $235,000.

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