Job Details

Data Engineer

  2025-09-17     Believe in Me     Spokane,WA  
Description:

Data Engineer

VOLUNTEER JOB DESCRIPTION

Position Overview

At Believe in Me, we envision a world where every child has the self-confidence and support needed to explore their potential and achieve success. Through innovative and caring programs, we strive to empower marginalized children and first-generation college students, offering them resources for learning, growth, and joy. Join us in our mission to make a lasting difference in the lives of these children and young adults.

As a Volunteer Data Engineer, you will play a crucial role in managing and optimizing data systems for the 1st Gen College Hub app, a technology-driven platform aimed at supporting first-generation college students. You will work closely with our development and analytics teams to ensure our data architecture is robust, efficient, and capable of providing insightful information to drive our mission forward.

Key Responsibilities
  • Design, construct, install, test, and maintain highly scalable data management systems.
  • Ensure systems meet business requirements and industry practices for data integrity, security, and accessibility.
  • Develop data set processes for data modeling, mining, and production.
  • Integrate new data management technologies and software engineering tools into existing structures.
  • Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization.
  • Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
  • Participate in data architecture decisions and partner with technology teams to implement data engineering practices and solutions.
Qualifications
  • Proven experience as a data engineer, software developer, or similar role, with a strong foundation in data structures, algorithms, and software design.
  • Proficiency in SQL, Python, and other programming languages commonly used in data engineering.
  • Experience with big data tools (Hadoop, Spark, Kafka, etc.) and data pipeline and workflow management tools.
  • Knowledge of cloud services (AWS, Google Cloud Platform, Microsoft Azure) and understanding of database technologies (SQL and NoSQL).
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • A passion for creating data infrastructure that is accessible to individuals of all backgrounds and levels of technical expertise.
  • Excellent communication and teamwork skills, with a willingness to share knowledge and collaborate with team members.
  • A commitment to the values and mission of Believe in Me.
Why Volunteer With Us?
  • Make a tangible impact on the lives of first-generation college students, providing essential support and resources to help them succeed.
  • Collaborate with a team of equally passionate individuals about education, technology, and making a difference.
  • Enhance your portfolio and gain experience by leading a significant, impactful project.
  • Enjoy flexible volunteering hours, accommodating volunteers from various time zones in a fully remote position.
Location

This is a remote volunteering position with flexible hours to accommodate volunteers from various time zones.

How to Apply

Interested candidates are invited to submit their resume at Please include details of your experience related to the abovementioned qualifications and share your motivation for volunteering with 1st Gen College Hub.

Join us in our mission to empower first-generation college students by leveraging your expertise and passion for technology and education. Together, we can create a platform that supports students through their college journey and inspires them to believe in their potential.

Watch our video to learn more: Believe in Me - Brand Video


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