Remote Software Developer (Junior Level)/Data Scientist
This entry-level remote software developer and data scientist role at Confidential Client focuses on helping candidates overcome technical assessment challenges through targeted practice and skill development. The position supports recent graduates and career switchers in gaining practical experience in software development, data analysis, and machine learning, preparing them for full-time roles with leading tech employers.
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.
What You’ll Do
Confidential Client is hiring entry-level Software Developers and Data Scientists for full-time, remote-capable roles. You will work on real product and data problems, collaborating with engineering and analytics teams to design, build, and validate solutions.
- Write, test, and maintain code in Python, Java, or both
- Design and implement data pipelines and ETL tasks (SQL, Spark or equivalent)
- Clean, transform, and validate data for analysis and model building
- Build and maintain APIs, backend services, or full-stack components depending on team assignment
- Implement unit and integration tests; participate in code reviews
- Translate business questions into technical requirements; deliver clear visualizations and reports
- Troubleshoot production issues and contribute to deployment and monitoring practices
- Participate in technical assessments and continuous-learning programs to level up skills
Minimum Qualifications
- Bachelor’s degree in Computer Science, Engineering, Math, Statistics, or equivalent experience
- Practical knowledge of SQL and relational databases
- Programming experience in Python or Java (class projects, internships, bootcamps, or professional)
- Familiarity with version control (Git) and basic software engineering practices
- Strong problem-solving ability, attention to detail, and willingness to learn
- Authorized to work in the United States
Preferred (nice-to-have)
- Experience with Spark, cloud platforms (AWS/GCP/Azure), or containerization (Docker)
- Exposure to data visualization tools (Tableau, Looker, matplotlib, seaborn)
- Coursework or projects in machine learning, statistics, or data engineering
- Internship or project portfolio demonstrating applied coding or data work
- Familiarity with CI/CD pipelines and automated testing
Compensation & Employment Type
- Employment type: Full-time
- Salary range: $82,000 - $145,000 per year (base salary)
- Remote-first role with engineering/product teams based in Boston, MA; specific team/timezone expectations will be provided during interview stages
- Additional benefits and total compensation details provided by Confidential Client during later stages of the hiring process
Why Apply
- Early-career growth: hands-on projects, mentorship, and clear technical development paths
- Cross-functional exposure: work with product managers, data engineers, and senior engineers
- Training & assessment support: opportunities to practice target technical skills and improve assessment performance
- Competitive pay range and clear paths to higher-level technical roles
How We Evaluate Candidates
We use a combination of resume review, portfolio or project examples, technical assessments (coding and SQL), and structured interviews. Careertakes may provide additional matching and prep resources; final hiring decisions are made by Confidential Client.
Location & Work Format
- Job location: Boston, MA (Confidential Client)
- Work format: Remote-first / TELECOMMUTE (teams may request overlap with US Eastern Time hours)
- Applicants must be authorized to work in the United States
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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