Realtime Data Analytics Engineer (Data Engineering)

TL;DR

Realtime Data Analytics Engineer (Data Engineering): Architecting real-time analytics platforms for the defense industry with an accent on low-latency, high-volume data pipelines. Focus on operationalizing streaming analytics, integrating machine learning workflows, and designing scalable ingestion-to-visualization systems.

Location: Remote (USA). Secret clearance is required.

Salary: $77,500 – $176,000

Company

A leading professional services firm providing advanced technology solutions for mission-driven defense projects.

What you will do

• Architect and optimize streaming analytics pipelines using Kafka, Flink, Spark Streaming, or Kafka Streams.
• Build data models, feature extraction patterns, and timeseries analytics for large-scale, high-velocity data.
• Design and deploy real-time APIs and visualization layers using REST and WebSockets.
• Integrate operational machine learning workflows, including online inference and drift monitoring.
• Implement observability, metrics, and tracing for data quality and latency.
• Utilize Docker and Kubernetes to deploy analytics services across AWS and Azure environments.

Requirements

• 5+ years of experience in data engineering, analytics engineering, or streaming-focused software development.
• Proficiency in Python, SQL, and streaming frameworks like Flink, Spark Streaming, or Kafka Streams.
• Experience with relational stores (PostgreSQL, SQL Server) and NoSQL platforms (MongoDB, DynamoDB).
• Ability to work with Docker and Kubernetes for scalable analytics deployments.
• Secret clearance is required.
• Bachelor’s degree.

Nice to have

• Experience with Delta Lake, Apache Iceberg, or other large-scale data lake technologies.
• Experience with advanced observability, anomaly detection, or model monitoring.
• Integration of analytics with game engines such as Unity, Unreal, or Prepar3D.
• Data warehousing experience using AWS Redshift, MySQL, or Snowflake.
• Top Secret clearance.

Culture & Benefits

• Comprehensive health, life, disability, financial, and retirement benefits.
• Paid leave, professional development, and tuition assistance.
• Work-life programs and dependent care.
• Recognition awards program for exceptional performance.
• People-first culture that prioritizes collaboration, whether in-person or virtual.