Associate Data Engineer
Skip the busywork
ApplyBolt rewrites your resume for this exact role and hits submit. You just pick the jobs.
About this role
About Sayari:
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 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 & 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