🛠 Tech Stack

💼 About This Role

You'll design, build, and maintain scalable data pipelines and real-time streaming solutions using tools like Apache Kafka. You'll collaborate with data scientists and analysts to ensure efficient data flow across platforms.

🎯 What You'll Do

• Design and build scalable ETL/ELT data pipelines.
• Develop and maintain real-time data streaming solutions.
• Optimize and automate data workflows.
• Oversee data models and schema designs for analytics.

📋 Requirements

• Bachelor's degree in Computer Science or related field.
• 5+ years of experience in data engineering or software engineering.
• Strong understanding of data validation and model testing.
• Experience with data visualization tools like Tableau or Plotly.

✨ Nice to Have

• 4+ years in applied data science or ML engineering.
• Proficient in Python, SQL, and Spark.
• Experience with MLflow and MLOps.

🎁 Benefits & Perks

• 🔒 Top Secret/SCI clearance required

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Hiring Manager Call· 45 min
3. 3Technical Interview· 60 min

🚩 Heads Up

• Requires Top Secret/SCI clearance which may limit applicants
• Onsite in SCIF environment may restrict flexibility