Data Architect Data Analytics

Data Engineer Machine Learning & Educational SystemsPreferred Full-Time Onsite | Full-TimeSR1 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.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.Data EngineeringBuild 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 & AnalyticsBuild And Deploy ML Models ForIdentifying at-risk users or underserved student groupsSurvey Development & Data DisplayCollaborate 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.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.Bachelors or Masters 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., Familiarity with machine learning frameworks (e.g., Experience working with cloud platforms (AWS, GCP, or Azure).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., Knowledge of visualization tools (Tableau, Power BI, Looker, or similar).Future increases are possible and will be based on successful development, performance, and organizational growth .Performance-based bonuses and recognition programsData Engineer ML Application (Your Name)RequiredPreferredJob IndustriesOther