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
Company H1B Sponsorship