Junior Data Scientist

TL;DR

Junior Data Scientist (Data Science/ML): Drives the integrity, accessibility, and performance of large‑scale data systems that support critical business operations, collaborating with technical leaders and cross-functional partners. Focus on database engineering, data transformation, and scalable data operations to enable meaningful insights.

Location: Must be located in Redmond, WA

Salary: $36.06 to $38.46 USD per hour

Company

hirify.global is a technology solutions firm headquartered in Bellevue, Washington, that helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business.

What you will do

• Collaborate with senior management, engineering teams, and business stakeholders to define data requirements, data models, and implementation strategies.
• Design, implement, automate, and maintain enterprise-scale ETL workflows for ingestion, transformation, and storage of structured and unstructured data.
• Modify existing databases and database management systems, performing schema updates, and performance tuning.
• Build data processing automation and ensure consistency, accuracy, and performance across data integration processes.
• Test programs, ETL processes, and database components; identify issues, troubleshoot errors, and support fixes or enhancements.
• Support documentation of data workflows, system logic, and operational procedures.

Requirements

• Bachelor’s degree in computer science, Computer Engineering, Mathematics, Information Systems, or a related technical field.
• 0–2 years of professional or academic experience working with databases, data processing, or software engineering.
• Hands-on experience with relational or non‑relational database technologies (e.g., SQL, PostgreSQL, MySQL, MongoDB).
• Understanding of ETL concepts, data modeling, and data transformation workflows.
• Proficiency in at least one scripting language (Python preferred).
• Strong analytical, problem‑solving, and troubleshooting skills.

Nice to have

• Experience with ETL tools, orchestration platforms, or workflow automation (e.g., Airflow, SSIS, Glue, or custom pipelines).
• Exposure to cloud environments (Azure, AWS, or GCP) or cloud‑based data services.
• Experience working with APIs, data ingestion frameworks, or streaming data.

Culture & Benefits

• Medical, dental, and vision coverage.
• Flexible Spending Account.
• 401k program.
• Competitive PTO offerings.
• Parental Leave.
• Opportunities for professional growth and development.