Data Engineer - SR1 : Job Details

Data Engineer – Machine Learning & Educational Systems

Organization: SR1

Location: Preferred Full-Time Onsite | Full-Time

About SR1:

SR1 is a nationally recognized nonprofit organization committed to eliminating disparities in education, health, and technology. We're building innovative educational systems and scaling a membership-based model to increase access to high-quality learning opportunities and community engagement.

We are seeking a skilled Data Engineer with Machine Learning experience to join our growing team and help power our CRM systems, online learning platforms, and community impact data efforts.

Position Summary:

This is a new position at SR1 and ideal for someone with a startup mentality who is excited about building systems from the ground up. The right candidate will be forward-thinking, adaptable, and energized by the opportunity to help SR1 be on the cutting edge of innovation in empowering communities through technology and behavioral science.

As the Data Engineer, you will design and maintain scalable data infrastructure that supports our CRM, educational systems, and data-driven initiatives. You will work closely with full-stack developers and organizational leadership to deploy machine learning models that personalize learning experiences, increase membership engagement, and inform strategic decisions.

You will also play a vital role in developing surveys and presenting data results in user-friendly formats to support internal teams and external partners.

Key Responsibilities:

Data Engineering

• Build and maintain secure, scalable ETL pipelines to collect and process data from various systems.
• Design and manage data architecture to support CRM functionality, online learning platforms, and analytics needs.
• Ensure data quality, consistency, governance, and compliance across all systems.

Machine Learning & Analytics

• Build and deploy ML models for:
• Predicting user behavior and engagement
• Recommending personalized learning paths
• Identifying at-risk users or underserved student groups
• Translate business and program goals into analytical frameworks and actionable insights.
• Create dashboards and reporting tools for internal and external stakeholders.

Survey Development & Data Display

• Collaborate with SR1 teams to design surveys that assess community needs, program outcomes, and user feedback.
• Build visualizations and tools to display survey and performance data in clear and engaging formats.
• Translate complex data findings into visual stories and summaries for decision-makers.

Team Collaboration & Support

• Work with full-stack developers to integrate data tools into web applications and internal platforms.
• Partner with education, outreach, and program leads to support data-informed strategies and growth.
• Maintain ethical data use and privacy compliance, especially concerning youth and family data.

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
• Minimum 3 years of experience in data engineering and/or applied machine learning.
• Strong skills in Python and SQL.
• Experience with data pipeline tools (e.g., Apache Airflow, Apache Spark).
• Familiarity with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience working with cloud platforms (AWS, GCP, or Azure).
• Strong communication skills and ability to work with technical and non-technical stakeholders.
• Demonstrated ability to work in fast-paced, mission-driven environments.

Preferred Qualifications:

• Experience working in educational or nonprofit environments.
• Understanding of student data privacy laws (FERPA, COPPA).
• Familiarity with CRM systems (e.g., Salesforce, HubSpot) or custom-built membership platforms.
• Experience with survey platforms and tools (e.g., SurveyMonkey, Qualtrics).
• Knowledge of visualization tools (Tableau, Power BI, Looker, or similar).

Salary & Compensation:

SR1 offers a competitive salary aligned with regional market rates and nonprofit sector standards.

Salary Range:

$60,000 – $80,000 annually, based on experience and qualifications.

Future increases are possible and will be based on successful development, performance, and organizational growth.

Additional Benefits May Include:

• Opportunities for leadership and professional growth
• Mission-driven and collaborative team culture
• Participation in transformative education and technology initiatives
• Performance-based bonuses and recognition programs

To Apply:

Email your resume and a brief statement of interest to [email protected] with the subject line:

“Data Engineer – ML Application – [Your Name]”