Junior Data Scientist

Blueprint Technologies•Redmond, WA

15d•$36 - $38

About The Position

Blueprint helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies. At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You’ll focus on solving unique business problems while gaining hands-on experience with the world’s best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you’ll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. We guarantee you won’t find a better place to work and thrive than at Blueprint. As a Data Scientist on this team, you will help drive the integrity, accessibility, and performance of large‑scale data systems that support critical business operations. You’ll collaborate with technical leaders, project managers, and cross‑functional partners to understand data needs, enhance database environments, and build efficient data pipelines that enable meaningful insights. This role is ideal for someone early in their career who enjoys working with data, solving complex technical problems, and wants to grow in database engineering, data transformation, and scalable data operations.

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.
Excellent written and verbal communication skills.
Demonstrated interest in data‑driven decision making and improving data system performance.

Nice To Haves

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.
Knowledge of database optimization, indexing strategies, or performance tuning.
Familiarity with version control, CI/CD, or collaborative development workflows.
Coursework or project experience in statistics, data analysis, or machine learning fundamentals.

Responsibilities

Collaborate with senior management, engineering teams, and business stakeholders to define data requirements, data models, and implementation strategies.
Write and maintain logical and physical database descriptions, including table definitions, data dictionaries, and system-level identifiers.
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, performance tuning, or directing engineers/analysts to execute required changes.
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.
Ensure data integrity and adherence to internal data governance standards.
Support documentation of data workflows, system logic, and operational procedures.