🛠 Tech Stack

💼 About This Role

You'll build and maintain high-volume, scalable data pipelines using Apache Kafka and Apache Spark for a federal government contract. You'll ensure reliable data flow across multiple systems to enable analytics and reporting.

🎯 What You'll Do

• Build and maintain scalable data pipelines with Kafka and Spark.
• Design and optimize data ingestion and transformation workflows.
• Ensure data quality and integrity across disparate sources.
• Develop SQL-based solutions and support data architecture.

📋 Requirements

• 3+ years of experience in data engineering.
• Strong hands-on experience with Apache Kafka.
• Strong experience with Apache Spark for large-scale data processing.
• Experience in federal government or highly regulated environments.

✨ Nice to Have

• AWS Data Engineer certification.
• Experience with cloud platforms (AWS, Azure, GCP).
• Familiarity with data orchestration tools (Airflow, NiFi).

🎁 Benefits & Perks

• 💰 Competitive salary with range specified.
• 🏠 Remote work within Continental US.
• 🏥 Health benefits (implied for direct hire).
• 📈 Professional growth in mission-driven environment.

📨 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