Senior Manager, Data Engineering

KIPP Foundation

. Create, manage, and optimize data engineering pipelines .

Posted 11/4/2026full-timeRemote • United StatesSenior💰 $120,000 - $145,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing data engineering pipelines, data platform operations, and agile sprint execution while fostering collaboration with stakeholders. Proficient in SQL, Spark, and machine learning principles, with a strong focus on data quality and operational efficiency.

Highest-signal resume keywords

Data Engineering Pipeline ManagementSQL ProficiencyAgile Sprint OperationsMachine Learning PrinciplesProject Management Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLSparkPySparkETL/Data PipelinesData ArchitectureData Quality FrameworksMLOpsFeature EngineeringCI/CDVersion Control

Soft Skills

Problem-SolvingInitiativeCoachingCommunicationRisk Anticipation

Tools & Technologies

JIRAGitBitbucketGitHubAzure DevOpsFabric/SnowflakeSQL ServerDatabricks

Industry Keywords

Data EngineeringAgileDevOpsData QualityKnowledge Management

Tech Stack

Tools & technologies

AzureCloudETLPySparkSnowflakeSparkSQLSSIS

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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)