Jr. Data Engineer

Sayari is a risk intelligence provider that equips the public and private sectors with visibility into complex commercial relationships. They are seeking an Entry-Level Data Engineer to join their Data team, where the role involves writing and deploying scripts, analyzing datasets, and collaborating with other engineers.

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

Skills

• 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
• 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

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 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