Position Overview

DANDIE (Data Acquisition Network for Delivery, Ingestion and Exploitation) is a new program that will serve as the strategic data platform designed to streamline the procurement, onboarding, consumption, and offboarding of CAI / PAI datasets as a reliable enabler of OCO missions. Built on OSS, COTS, and GOTS components and deployed on Kubernetes, DANDIE will support batch, streaming, and QiP cross-domain data workflows and gearing up to become the enterprise data hub for Cyber Command.

In this role, you will evaluate data utility and quality, identify trends and opportunities, and provide actionable insights that inform dataset procurement, onboarding prioritization, and operational usage decisions across DANDIE. You will help determine which datasets actually move the mission—by quantifying utility, quality, and impact.

Key Responsibilities

• Evaluate dataset utility and quality using quantitative and qualitative measures
• Analyze datasets to identify trends, gaps, anomalies, and improvement opportunities
• Partner with the Lead Data Scientist and Metrics Engineer to align measures to mission objectives
• Develop clear narratives and visualizations communicating dataset strengths, weaknesses, and risk
• Provide insights supporting procurement and prioritization decisions (value-to-mission, readiness, cost efficiency)
• Support iterative refinement of metrics and methods based on platform usage and stakeholder feedback
• Contribute to building repeatable evaluation methodologies for new data sources

Minimum Qualifications

• Bachelor’s degree in Data Science, Computer Science, Engineering, Statistics, or related field, or equivalent experience
• 4+ years of experience in data science, analytics, or applied measurement roles
• Proficiency in Python and SQL
• Experience with data analysis, visualization, and communicating results to stakeholders
• Ability to translate analytical findings into decision-relevant recommendations
• Strong documentation skills and comfort presenting to mixed audiences
• TS/SCI with CI Poly preferred; must be eligible to obtain TS/SCI with CI Poly within 6 months of hire
• U.S. citizenship required

Nice to Have Skills

• Experience with data quality, usage analytics, or KPI frameworks
• Experience with large-scale data platforms or data lakes
• Familiarity with streaming/event data analysis (e.g., time-windowed metrics, near-real-time monitoring).
• Familiarity with structured/semistructured/unstructured data assets
• Experience supporting DoD/IC or regulated environments
• Exposure to metadata/catalog concepts (e.g., lineage, dataset registration, tagging)
• Familiarity with cross-domain data constraints and operational data handling realities

Work Environment

• Government program environment
• U.S. citizenship required
• TS/SCI with CI Poly preferred; must be eligible to obtain TS/SCI with CI Poly within 6 months of hire
• Commute to Herndon, VA or Ft. Meade, MD
• Hybrid schedule with on-site support expected (minimum 2 days per week)

Platform Engineer – Big Data (TS/SCI w/ CI Poly)

Position Overview
We are seeking a Platform Engineer to lead the design, engineering, and evolution of a secure, scalable Big Data platform supporting mission-critical federal workloads. This role operates at the intersection of platform architecture, data infrastructure, and DevSecOps, ensuring high availability, performance, and compliance within classified environments.

Key Responsibilities

• Architect, design, and oversee implementation of large-scale Big Data platforms (data ingestion, transport, transformation, storage, and access)
• Lead platform engineering efforts across Kubernetes-based environments, ensuring scalability, resiliency, and automation
• Define and enforce platform standards for CI/CD, infrastructure as code (IaC), and GitOps practices
• Integrate and optimize data pipelines across distributed systems, including cross-domain and secure data transfer solutions
• Drive observability strategy (monitoring, logging, tracing, SLOs) across platform and data services
• Ensure compliance with federal security requirements (e.g., RMF, STIGs, Zero Trust architectures)
• Provide technical leadership, mentorship, and strategic guidance to engineering teams and stakeholders
• Collaborate with government and contractor teams to align platform capabilities with mission needs

Required Qualifications

• Active TS/SCI clearance with CI Polygraph
• 5+ years of experience in platform engineering, infrastructure, or data engineering roles
• Deep experience with Kubernetes, containerization, and cloud-native architectures
• Strong background in Big Data ecosystems (e.g., data lakes, streaming, ETL/ELT pipelines)
• Experience with DevSecOps tooling (CI/CD pipelines, GitOps, IaC such as Terraform)
• Familiarity with secure data architectures, including cross-domain solutions
• Experience operating in classified or highly regulated environments

Preferred Qualifications

• Experience with observability platforms (e.g., Elastic, Prometheus, Grafana)
• Knowledge of service mesh technologies (e.g., Istio)
• Familiarity with federal cloud environments (AWS GovCloud, Azure Government)
• Prior experience supporting DoD or IC programs

Key Attributes

• Strategic thinker with hands-on technical depth
• Strong leadership and communication skills
• Ability to operate in high-security, mission-driven environments

Position Overview

DANDIE (Data Acquisition Network for Delivery, Ingestion and Exploitation) is a new program that will serve as the strategic data platform designed to streamline the procurement, onboarding, consumption, and offboarding of CAI / PAI datasets as a reliable enabler of OCO missions. Built on OSS, COTS, and GOTS components and deployed on Kubernetes, DANDIE will support batch, streaming, and QiP cross-domain data workflows and gearing up to become the enterprise data hub for Cyber Command.

In this role, you will own the platform and lake architecture blueprint for DANDIE, ensuring scalable integration of OSS, COTS, and GOTS components on Kubernetes, with patterns that support brokerage, metrics, transport, and secure operations. You will design the backbone of a platform intended to scale across Cyber Command’s data ecosystem. You will also be leading a cross-functional team of Data Platform infrastructure experts.

Key Responsibilities

• Define end-to-end platform architecture (e.g., service boundaries, integration patterns, shared services, guardrails)
• Establish architectural standards for Kubernetes-based deployment, reliability, and scalability
• Design platform patterns supporting batch, streaming, and cross-domain workflows end-to-end
• Define reference architectures for data brokerage, ingest, transport, metrics, metadata, and lake access
• Partner with security stakeholders to ensure architecture supports RMF/ATO constraints and least privilege principles
• Drive architecture reviews, technical decision documentation, and cross-team alignment
• Define non-functional requirements (e.g., availability, resiliency, observability, performance, operability)
• Guide long-term platform evolution and modernization strategy

Minimum Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience
• 8+ years designing cloud-native platforms or distributed systems
• Demonstrated experience architecting Kubernetes-based systems and service-oriented architectures
• Experience defining and governing architecture standards across multiple teams
• Strong ability to communicate tradeoffs to technical and leadership audiences
• Experience designing for operational reliability and observability in production systems
• TS/SCI with CI Poly preferred; must be eligible to obtain TS/SCI with CI Poly within 6 months of hire
• U.S. citizenship required

Nice to Have Skills

• Experience architecting data platforms, data lakes, data meshes, or large-scale ingestion systems
• Familiarity with streaming architectures (e.g., Kafka-based pipelines, event-driven services)
• Experience integrating OSS, COTS, and GOTS components in regulated environments
• Familiarity with cross-domain data constraints and CDS integration considerations
• Experience with Zero Trust-aligned architectures and boundary design
• Prior DoD/IC program experience

Work Environment

• Government program environment
• U.S. citizenship required
• TS/SCI with CI Poly preferred; must be eligible to obtain TS/SCI with CI Poly within 6 months of hire
• Must be located within commutable distance to Herndon, VA on a hybrid schedule with on-site support expected (minimum 2 days per week)
• May have occasional travel to Ft. Meade, MD.