
51 - 200 employees
📚 Education
🤝 Non-profit
🌍 Social Impact
Education • Non-profit • Social Impact
KIPP Foundation is a national network of public charter schools committed to providing K-12 education. The foundation focuses on education reform, aiming to equip students with the necessary skills and confidence to shape their futures and contribute positively to their communities. With a vision of 'Together, A Future Without Limits', KIPP strives to create an inclusive and empowering educational environment for all students.
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🇺🇸 United States – Remote
💵 $120k - $145k / year
⏰ Full Time
🟠 Senior
🚰 Data Engineer
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51 - 200 employees
📚 Education
🤝 Non-profit
🌍 Social Impact
Education • Non-profit • Social Impact
KIPP Foundation is a national network of public charter schools committed to providing K-12 education. The foundation focuses on education reform, aiming to equip students with the necessary skills and confidence to shape their futures and contribute positively to their communities. With a vision of 'Together, A Future Without Limits', KIPP strives to create an inclusive and empowering educational environment for all students.
• Own and drive end-to-end delivery of data architecture and pipeline solutions, including planning, requirements gathering, design, build, and testing • Design and evolve the semantic layer as a governed single source of truth for business intelligence and reporting • Lead sprint planning and operations, including sprint execution, release planning, release delivery, dependency resolution, and blocker removal • Track and analyze sprint delivery metrics, operational efficiency, and DevOps performance to support continuous improvement • Design and operationalize a data quality framework with monitoring, alerting, root cause analysis, troubleshooting, resolution, and impact assessments • Establish foundational MLOps, machine learning, feature engineering, and ML/AI platform integration capabilities • Manage and continuously improve data architecture and pipelines, monitoring standards, and operational controls • Partner with Analytics, Application Development, Data Collection Strategy & Operations, IT Operations, Product Management, and Regional Data Systems & Strategy teams • Create, drive, track, and execute project plans while managing competing priorities • Maintain transparency into progress, risks, and dependencies through consistent tracking and communication • Guide team members in developing data solutions, data quality practices, review standards, and documentation • Manage and develop one or more employees or contractors through expectations, feedback, and coaching • Report to the Senior Director of Data Management & Governance
• Passion and commitment to KIPP’s mission and ability to uphold KIPP’s Core Values • Demonstrated ability to co-create ambitious goals, monitor progress across multiple workstreams, and drive outcomes • Ability to create and execute project plans, manage competing priorities, delegate effectively, and maintain knowledge management systems • Ability to build and maintain processes aligned with organizational priorities • Problem-solving skills, initiative, risk anticipation, and proactive solution development • Experience developing and coaching teammates and managing performance and development goals • Knowledge and skills in SQL, Spark, PySpark, on-premises and cloud-based data platform management and architecture, CI/CD, ETL/data pipelines, version control, SSIS, agile sprint operations, project management tools, and machine learning principles • 8+ years of professional experience in data engineering, infrastructure engineering, or a closely related technical field • Experience with SQL-based data platforms and modern cloud-based data warehouse/lakehouse platforms such as Fabric/OneLake, Snowflake, or Databricks • Experience managing agile sprint operations, DevOps metrics, and proficiency in JIRA or similar tools • Experience with version control and CI/CD workflows using Git and platforms such as Bitbucket, GitHub, and Azure DevOps • Strong technical proficiency in SSIS, Spark, PySpark, and SQL • Experience managing data platform operations and building/managing ETLs and pipelines • Experience managing and mentoring data engineers • Understanding of ML workflows and ML/AI enablement for data platforms • Bachelor’s degree in data engineering, computer science, or a related field
• 25 holidays • 18 days additional flexible PTO days, increasing to 23 days for years 3 and 4 and to 28 days for years 5+ • 100% paid parental leave • 100% coverage of the premium for employee medical/dental/vision plans • 75% coverage of the premium for employee + family medical/dental/vision plans • Wellness benefits including fitness reimbursements, discounted tickets to theme parks/attractions, backup care support for children and adults/elders, and an employee assistance program • 401K retirement plan with 4% match • Employer-sponsored legal plans • Life/disability insurance • Flexible spending accounts • Low travel requirement: 10% (20 days per year)
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