Entry-Level Software Engineer
Company: Pariveda
Location: Dallas
Salary: $79.8k per year
Type: Full-time
Posted: 2026-08-03
About this role
[Pariveda](http://www.parivedasolutions.com) is a North American-based, employee-owned professional services firm. We provide strategy and technology services across industries. As a mission-driven organization and Certified B Corp, we enable our clients to imagine and do more, whether it’s making next quarter’s goals or navigating the future. From ideas to impact, we help clients get better at what they do to improve people and profits. [Learn more](https://parivedasolutions.com/careers/) about our mission and culture as well as our recruitment process and interview prep.
Looking to join a collaborative team where you will be challenged and encouraged to grow your career in a supportive, purpose-driven environment?
Explore a career with Pariveda, an employee-owned professional services firm that provides strategy and technology services—from idea to impact. We have been named by Glassdoor as a Best Place to Work seven times since 2017 and are currently looking for motivated individuals who are passionate about using technology to solve problems and help others succeed.
To learn more about our culture and what you can expect at Pariveda, review our [Findamentals](https://parivedasolutions.com/careers/culture/#findamentals) – the behaviors that show who we are.
You Can Expect To:
As a Pariveda Consultant, you will work in small teams, collaborating with other Pariveda employees while partnering with clients to solve real business challenges.
- Grow your career with the support of a dedicated mentor and a clearly defined career path. You will be reviewed every 6 months and eligible for promotion every 12 months.
- Try new things to develop yourself as a leader. Learn to estimate, gather requirements, develop, test, manage projects, architect and deliver. We do it all!
- Explore a range of technologies including Cloud platforms like AWS, Azure, and Google Cloud, Data Engineering using Databricks and PySpark, and DevOps practices including CI/CD, Docker, and...