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Fresh Graduate Software Engineer Jobs (NOW HIRING)

hireVouch

$94K - $113K/yr

Position Overview As a fresh graduate joining our team, you will work closely with senior data ... Strong foundation in Python and fundamental software engineering principles (OOP, data structures ...

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Fresh Graduate Software Engineer information

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$63.5K

$147.5K

$205.5K

How much do fresh graduate software engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for fresh graduate software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What is a fresh graduate software engineer?

A Fresh Graduate Software Engineer is an entry-level role for recent graduates with a degree in computer science or a related field. They typically work on coding, testing, debugging, and collaborating with senior engineers to develop software solutions. This role helps new engineers gain hands-on experience with programming languages, development tools, and industry best practices. It often involves learning from mentors, contributing to real projects, and growing technical and problem-solving skills.

What types of projects or tasks can I expect to work on as a fresh graduate software engineer?

As a Fresh Graduate Software Engineer, you will typically start by assisting with code development, debugging, and testing under the guidance of senior engineers. Common tasks include contributing to software features, fixing bugs, reviewing code, and helping maintain documentation. You may work on real-world client projects or internal tools, depending on the company's focus, and regularly participate in team meetings and code reviews. This hands-on experience helps you develop practical skills, understand software development cycles, and build a foundation for future career growth.

What are the key skills and qualifications needed to thrive as a fresh graduate software engineer?

To thrive as a Fresh Graduate Software Engineer, you need a solid understanding of programming languages (such as Java, Python, or C++), problem-solving abilities, and a relevant degree in computer science or a related field. Familiarity with version control systems like Git, experience with integrated development environments (IDEs), and internships or personal projects are highly valued. Strong communication, a willingness to learn, and teamwork skills help new engineers adapt quickly and contribute to projects. These skills collectively enable new graduates to tackle technical challenges, grow professionally, and integrate smoothly into collaborative development environments.

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Fresh Graduate Software Engineer jobs near you
Infographic showing various Fresh Graduate Software Engineer job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.

Junior Data Engineer

hireVouch

On-site

$94K - $113K/yr

Full-time

Posted 24 days ago

Job description

About Us

​We are dedicated to building a cleaner, more sustainable future. By applying innovative technology and data-driven insights to green environmental initiatives, we help measure, analyze, and reduce environmental impact at scale. We are looking for a passionate, forward-thinking Junior Data Engineer to join our data team and help build the data pipelines powering our eco-focused solutions.

Position Overview

As a fresh graduate joining our team, you will work closely with senior data engineers and analysts to design, build, and maintain high-volume data pipelines. You will transform raw environmental datasets—such as energy metrics, carbon emissions data, and resource usage—into actionable insights. This role is ideal for a recent Computer Science graduate eager to apply modern data tooling (AWS, PySpark, Python) toward solving meaningful sustainability challenges.

Key Responsibilities

  • Pipeline Development: Design, build, and maintain automated batch and real-time ETL/ELT pipelines to ingest, clean, and transform large-scale environmental data.

  • Data Processing: Utilize Python and Apache Spark (PySpark) to process structured and unstructured datasets efficiently.

  • Cloud Infrastructure: Help manage and expand our cloud data infrastructure using core AWS services (e.g., S3, Glue, EMR, Redshift, Lambda).

  • Data Quality & Governance: Implement automated testing, validation, and monitoring to ensure data accuracy, reliability, and security.

  • Cross-Functional Collaboration: Partner with Data Scientists, Business Analysts, and Sustainability Specialists to deliver clean, structured data for reporting and machine learning applications.

Required Qualifications

  • Education: Bachelor’s degree in Computer Science (or a closely related core computing field, such as Computer Engineering or Software Engineering) completed within the last 0–12 months.

  • Core Programming: Strong foundation in Python and fundamental software engineering principles (OOP, data structures, algorithms, version control with Git).

  • Distributed Computing: Academic or hands-on project experience using Apache Spark / PySpark to process large datasets.

  • Cloud Fundamentals: Working knowledge or project experience with AWS core services (S3, EC2, IAM, Lambda, or managed data services).

  • Databases & SQL: Solid grasp of relational databases, SQL query writing, data modeling concepts, and basic schema design.

Nice-to-Have / Preferred Qualifications

  • Coursework, internship, or personal project focus on environmental data, sustainability, clean energy, or IoT telemetry data.

  • Exposure to workflow orchestration tools (e.g., Apache Airflow, Dagster).

  • Familiarity with containerization technologies (Docker, Kubernetes).

  • Knowledge of CI/CD practices for data infrastructure.

What We Offer

  • Mission-Driven Impact: Direct involvement in projects that combat climate change and advance sustainable practices.

  • Mentorship & Growth: A collaborative environment with dedicated mentorship from experienced senior data engineers.