🛠 Tech Stack

💼 About This Role

You'll design and optimize data pipelines using Spark, Apache Iceberg, and Kubernetes for a leading federal services firm. Your work will directly support US national security missions by ensuring secure, scalable data access. Collaborate with enterprise working groups to advance data standards.

🎯 What You'll Do

• Design and optimize data pipelines using Spark, Iceberg, and Kubernetes
• Ensure data pedigree and provenance for secure access
• Clean and preprocess data for advanced analytics
• Collaborate with engineering and mission teams on data standards

📋 Requirements

• 4-7+ years in data lifecycle engineering
• Experience with ETL tools and cloud/on-prem solutions
• Proficiency in Python, SQL, and Spark
• Active TS/SCI with Poly clearance

✨ Nice to Have

• Experience with ElasticSearch and NiFi
• Knowledge of Agile/Scrum methodologies

🎁 Benefits & Perks

• 🏖️ Generous PTO
• 💰 Competitive base pay
• 📚 Certification and training opportunities
• 🩺 Health and wellness benefits
• 🏢 Onsite work in Chantilly, VA

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min
4. 4Offer· 1 week