🛠 Tech Stack

💼 About This Role

You'll assist in building data pipelines and applying machine learning to improve data quality and search systems for a global leader in digital identity verification. You'll collaborate with experienced engineers and gain hands-on experience across relational and NoSQL databases.

🎯 What You'll Do

• Assist in building and maintaining data ingestion and transformation pipelines.
• Learn to design data models for SQL, NoSQL, and modern data stores.
• Support integration and testing of ML models for entity resolution and similarity search.
• Optimize data workflows, monitor data quality, and improve pipeline performance.

📋 Requirements

• 0–2 years of professional or project experience in data engineering or ML engineering
• Solid programming fundamentals, ideally in Python
• Basic understanding of data modeling, ETL concepts, and SQL or NoSQL
• Exposure to cloud environments (AWS, GCP, or Azure) through coursework or projects

✨ Nice to Have

• Hands-on experience with data processing or ML projects
• Familiarity with ETL/workflow tools like Airflow
• Exposure to vector databases or semantic search pipelines

🎁 Benefits & Perks

• 🏖️ Comprehensive Benefits including health, dental, vision, retirement plan with company match
• 📚 Annual education & training stipend equivalent to $1,000
• 🧘 Wellness with Headspace subscription and wellness workshops
• 🤝 Employee Resource Groups for diverse backgrounds and allies
• 🍱 Office perks including weekly lunches, coffee, and social events

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter phone screen· 30 min
2. 2Technical interview· 60 min
3. 3Hiring manager interview· 45 min