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Sayari Labs, Inc.

Jr. Data Engineer

Sayari Labs, Inc., Washington, District of Columbia, us, 20022

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About Sayari Sayari is a risk intelligence provider that equips the public and private sectors with immediate visibility into complex commercial relationships by delivering the largest commercially available collection of corporate and trade data from over 250 jurisdictions worldwide. Sayari's solutions enable risk resilience, mission‑critical investigations, and better economic decisions.

Position Description Sayari is looking for an Entry‑Level 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 deploy crawling scripts to collect source data from the web

Write and run data transformers in Scala Spark to standardize bulk data sets

Write and run modules in Python to parse entity references and relationships from source data

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

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

Target Salary $85,000–$90,000 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 quarterly bonuses for non‑revenue positions

A strong commitment to diversity, equity, and inclusion

Eligibility to participate in additional benefits such as 401(k) 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

Equal Opportunity Employer Sayari is an equal‑opportunity employer and strongly encourages diverse candidates to apply. We believe diversity and inclusion mean our team members should reflect the diversity of the United States. No employee or applicant will face discrimination or harassment based on race, color, ethnicity, religion, age, gender, gender identity or expression, sexual orientation, disability status, veteran status, genetics, or political affiliation. We strongly encourage applicants of all backgrounds to apply.

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