[Remote] Data Engineer (Remote, US)

Note: The job is a remote job and is open to candidates in USA. Sayari is the judgment infrastructure for trustworthy AI in economic security and commercial risk. As a Data Engineer, you will build and scale complex orchestration systems that transform billions of primary-source records into actionable intelligence.

Responsibilities

• Design, build, and maintain scalable data pipelines using Python, Spark, and Airflow to support our core data acquisition and entity resolution engines
• Collaborate cross-functionally with AI/ML and Product teams to implement new features and AI-native products
• Proactively identify and resolve bottlenecks in our complex ETL processes, bringing a fresh perspective to refine and optimize our existing codebase
• Contribute to a robust engineering culture through rigorous code reviews, unit testing, and clear communication of design decisions
• Own the end-to-end delivery of roadmap tasks within two-week sprints, ensuring work meets high standards for quality, documentation, and performance
• Participate in roadmap planning and story refinement, eventually taking ownership of major epics that drive our long-term product defensibility

Skills

• Professional proficiency in Python and experience contributing to shared codebases using Git (branching, PRs, code reviews)
• 3+ years of experience working in Data Engineering
• Demonstrated experience working with relational databases (PostgreSQL/BigQuery) and an interest in or familiarity with graph databases
• Familiarity with distributed computing (Spark) or a strong desire to master it
• Strong collaborative skills and the ability to work effectively in an Agile, sprint-based environment
• A 'self-directed' orientation: ability to move tasks from 'assigned' to 'complete' with high autonomy and clear communication
• Experience with Django, Scala, or Scrapy
• Hands-on experience with workflow orchestration tools like Airflow
• Experience or strong interest in LLM tuning, deployment, and AI engineering best practices
• Experience working with international or non-English datasets
• Prior experience working with high-scale, complex data pipelines

Benefits

• 100% fully paid medical, vision, and dental for employees and their dependents
• Close our office for a winter break (12/24-12/31)
• 18 PTO days
• 10 sick days
• Eligibility to participate in additional benefits such as 401k match up to 5%, 100% paid life insurance (up to $100,000 coverage),, and parental leave
• A strong commitment to diversity, equity, and inclusion
• A collaborative and positive culture - your team will be as smart and driven as you
• Limitless growth and learning opportunities
• We observe all US federal holidays

Company Overview

Company H1B Sponsorship