Note: The job is a remote job and is open to candidates in USA. Sayari is a company focused on providing trustworthy AI solutions for economic security and commercial risk. They are seeking a Senior Data Engineer to build and scale complex orchestration systems that transform vast amounts of primary-source records into actionable intelligence, collaborating with cross-functional teams to enhance AI-native products.

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

• 5 or more years of production data engineering experience, with clear ownership of systems you built and operated end to end
• Strong Python, with meaningful experience in a JVM language (Scala preferred) or willingness to ramp quickly
• Hands-on Snowflake experience, or equivalent depth in BigQuery or Redshift with demonstrated ability to transfer
• Experience deploying and operating AI or ML applications in production, including output validation, monitoring, and cost management at scale
• Orchestration experience with Apache Airflow or a comparable workflow tool
• Track record of operating production systems reliably, with comfort navigating failure, monitoring, and recovery
• Experience with Spark on Dataproc Serverless or other serverless Spark environments
• Familiarity with Kubernetes for deployment
• Experience with data quality tooling such as deequ, Great Expectations, or equivalent
• GCP experience (BigQuery, Dataproc, Cloud Storage)
• Experience leading or contributing to a data warehouse migration
• Background in team mergers or migrating a team onto a new operating process

Benefits

• 100% fully paid medical, vision, and dental for employees and their dependents
• Generous time off; we observe all US federal holidays, close our office for a winter break (12/24-12/31), in addition to granting 18 PTO days and 10 sick days
• Outstanding compensation package; competitive commissions for revenue roles and bonuses for non-revenue positions
• A strong commitment to diversity, equity, and inclusion
• 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 collaborative and positive culture - your team will be as smart and driven as you
• Limitless growth and learning opportunities

Company Overview

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