Senior Manager, Data Engineering

🕒 November 4

🇺🇸 United States – Remote

💵 $120k - $145k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

Where this job comes from

Posted on KIPP Foundation's careers page ↗KIPP Foundation's careers page, not through a job board

First seen by Remote Rocketship November 4

Still open on KIPP Foundation's site. Checked 3 hours ago.

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Logo of KIPP Foundation

KIPP Foundation

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.

📋 Description

• Create, manage, and optimize data engineering pipelines • Manage data platform operations • Partner with stakeholders to gather requirements and define data solution architecture • Own 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 • Lead sprint planning and operations • Manage sprint execution, release planning, and release delivery • Track sprint delivery metrics, operational efficiency, and DevOps performance • Design and operationalize data quality frameworks with monitoring, alerting, root cause analysis, troubleshooting, and resolution • 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 FTE or contractor team members through expectations, feedback, and coaching • Report to the Senior Director of Data Management & Governance

🎯 Requirements

• 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 manage knowledge • Ability to build and maintain knowledge management systems and codify processes • Strong problem-solving, initiative, risk anticipation, and proactive solution development • Experience developing and coaching teammates and managing performance and development goals • Knowledge of SQL, Spark, PySpark, SQL Server, Fabric/Snowflake, 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 data warehouse/lakehouse platforms such as Fabric/OneLake, Snowflake, or Databricks • Experience managing agile sprint operations and DevOps metrics • Proficiency in JIRA or a similar tool for project and sprint planning, backlog management, tracking, workflow management, and issue resolution • Experience with Git and CI/CD 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 • Master’s degree preferred • Full, exempt role

🏖️ Benefits

• 25 holidays • 18 additional flexible PTO days, increasing to 23 days for years 3 and 4 and 28 days for years 5+ • 100% paid parental leave • 100% coverage of the employee medical/dental/vision plan premium • 75% coverage of the employee + family medical/dental/vision plan premium • Wellness benefits, including fitness reimbursements, discounted tickets to theme parks/attractions, backup care support for children and adults/elders, and an employee assistance program • 401(k) retirement plan with 4% match • Employer-sponsored legal plans • Life and disability insurance • Flexible spending accounts • Remote office work option • Low travel requirement (10%, 20 days per year)

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