🛠 Tech Stack

💼 About This Role

You'll design and build robust data systems to power identity verification services. Your core impact will be developing scalable ETL pipelines and integrating ML for entity resolution. You'll tackle complex data challenges across relational, NoSQL, and vector databases at a leading identity verification platform.

🎯 What You'll Do

• Build and optimize data ingestion and transformation pipelines from multiple sources.
• Design and implement data models using SQL, NoSQL, GraphDBs, or VectorDBs.
• Integrate machine learning models for entity resolution and semantic enrichment.
• Collaborate with data scientists and engineers to deliver high-performance infrastructure.

📋 Requirements

• 5+ years of software development or data engineering experience.
• Strong programming skills in Python.
• Experience with data modeling in SQL and NoSQL systems.
• Experience designing and maintaining data pipelines (e.g., Airflow, Dagster, Prefect).

✨ Nice to Have

• Experience with vector databases and embedding-based search pipelines.
• Familiarity with graph databases (Neo4j, Neptune, or Gremlin).
• Knowledge of streaming data systems (Kafka, Kinesis) or distributed processing (Spark, Flink).

🎁 Benefits & Perks

• 🏖️ Flexible Hybrid Working Environment with weekly lunches and quality coffee.
• 🏥 Comprehensive Benefits including health, dental, vision, and retirement plans.
• 📚 Annual Education & Training Stipend equivalent to $1,000 in local currency.
• 🧘 Wellness with complimentary Headspace subscription and wellness workshops.
• 🤝 Employee Resource Groups for inclusive community and support.

📨 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