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Sayari is a venture-backed and founder-led global corporate data provider and commercial intelligence platform that serves financial institutions, legal and advisory service providers, multinationals, journalists, and governments. Thousands of analysts and investigators in over 30 countries rely on our products to safely conduct cross-border trade, research front-page news stories, confidently enter new markets, and prevent financial crimes such as corruption and money laundering.
Our company culture is defined by a dedication to our mission of using open data to prevent illicit commercial and financial activity, a passion for finding novel approaches to complex problems, and an understanding that diverse perspectives create optimal outcomes. We embrace cross-team collaboration, encourage training and learning opportunities, and reward initiative and innovation. If you like working with supportive, high-performing, and curious teams, Sayari is the place for you.
POSITION DESCRIPTION
Sayari is looking for an Entry-Level Associate Data Engineer to join our Data team located in Washington, DC. The Data team is an integral part of our Engineering division and works closely with our Software & Product teams, as well as other key stakeholders across the business.
JOB RESPONSIBILITIES:
- Write and orchestrate large-scale batch processing pipelines in Python and Scala Spark to build our graph database
- Implement new features around data enrichment, entity resolution, and risk identification
- Manage ETL jobs to load application databases
- Diagnose and fix bugs reported by internal and external users
- Analyze and report on internal datasets to answer questions and inform feature work
- Work collaboratively on and across a team of engineers using basic agile principles
- Give and receive feedback through code reviews
SKILLS & EXPERIENCE
Required Skills & Experience
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field — or equivalent hands-on experience
- Working knowledge of SQL and relational databases (such as Postgres)
- Experience writing code in Python (e.g., pandas, NumPy, Scrapy) or Java/Scala
- Familiarity with data processing frameworks like Apache Spark, or strong interest in learning them on the job
- Understanding of object-oriented programming principles and collaborative development in shared repositories
- Ability to work closely with data scientists, analysts, and engineers to help solve complex problems across large, diverse datasets
Desired Skills & Experience
- Exposure to workflow orchestration tools such as Apache Airflow and CI/CD pipelines
- Familiarity with graph, search, or NoSQL databases
- Experience contributing to data ingestion, transformation, or ETL pipelines
- Comfort working with containerized applications (e.g., Docker)
- Experience using cloud-based data tools in AWS or GCP environments
- Introductory experience or coursework involving machine learning, especially in distributed systems like Spark
- Awareness of entity resolution concepts or interest in learning how entities are linked across data sources
- Experience working with international or non-English datasets
The target base salary for this position is $85,000-$100,000 plus company bonus and equity. Final offer amounts are determined by multiple factors including location, local market variances, candidate experience and expertise, internal peer equity, and may vary from the amounts listed above.
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
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