Job Description

Job Description

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]”

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