junior full stack developer/Data Scientist
This entry-level full stack developer and data scientist role at Confidential Client focuses on building practical skills in Java, Python, and data engineering technologies such as Spark and cloud ETL patterns. The position supports recent graduates and career switchers by providing hands-on pipeline projects, interview preparation, and resume optimization to improve job prospects in competitive tech markets. The role aims to bridge the gap between academic knowledge and employer expectations for direct full-time positions with leading tech clients.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
Overview
We’re supporting a Confidential Client in the IT industry to hire a full-time, entry-level Junior Full Stack Developer / Data Scientist based in University Place, WA. This role is ideal for recent graduates or early-career engineers who have solid project experience (coursework, bootcamp projects, internships, or personal projects) and want hands-on mentorship to accelerate into production-level software and data work.
Compensation: $79,000 - $127,000 per year (see Structured Data). Full-time.
What You’ll Do
- Contribute to full-stack features: build and ship server-side APIs and front-end components in collaboration with engineering teams.
- Develop and maintain data pipelines and ETL tasks using Python and SQL.
- Work with big-data tooling and frameworks such as Spark and Databricks / Snowflake to transform and analyze data.
- Implement automated tests and participate in code reviews to maintain quality and reliability.
- Diagnose performance issues in SQL queries and Python code; optimize for scale.
- Collaborate with product managers, data engineers, and designers to turn requirements into deliverables.
- Learn and apply cloud ETL patterns and streaming concepts under mentorship.
What We’re Looking For (Required)
- Bachelor’s degree in Computer Science, Engineering, Math, Statistics, or equivalent practical experience — recent graduates welcome.
- Practical experience with Python and SQL (projects, coursework, internships, or bootcamp).
- Familiarity with at least one cloud platform (AWS / Azure / GCP) or demonstrated ability to learn cloud services quickly.
- Basic understanding of data processing frameworks (Spark or similar) or willingness to train up quickly.
- Strong problem-solving skills and a clear approach to explaining past projects (e.g., architecture and trade-offs).
- Good communication skills and ability to work in a small, collaborative team.
- Authorized to work in the U.S. (no sponsorship provided).
Nice-to-Have
- Exposure to Databricks or Snowflake.
- Java or JavaScript/full-stack experience (React, Node.js, or similar).
- Familiarity with DevOps practices, CI/CD pipelines, containerization (Docker), or streaming systems.
- Any coursework or project work involving machine learning, data analysis, or statistical modeling.
Why Candidates Join This Program
This opportunity includes hands-on mentoring, resume/project polishing to make your work scannable by recruiters and hiring managers, and focused interview prep so you can explain your projects and systems confidently. Alumni from related programs have progressed into data and engineering roles with reported salary outcomes often in a higher range after successful placement.
Compensation & Schedule
- Salary range: $79,000 - $127,000 per year.
- Employment type: Full-time.
- This role is expected to be on-site or in the local University Place / Tacoma area (remote/telecommute is not specified). Local candidates are preferred.
Location & Legal / Compliance Notes
- Job location: University Place, Washington (WA), United States.
- Applicants must be legally eligible to work in the U.S. without employer-sponsored visa support.
- Any offer may be contingent on standard background checks and reference verification consistent with state and federal law.
What to Highlight on Your Application
- Project links (GitHub, portfolio) demonstrating Python + SQL work, end-to-end pipelines, or full-stack features.
- Clear descriptions of the architecture you used and the performance trade-offs you considered.
- Any coursework, internships, bootcamp projects, or independent projects that show practical, repeatable outcomes.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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