Great Minds

Great Minds

Senior Data Engineer, Analytics

Washington, District of Columbia · Senior · Full-time

Sponsorship not specified$88k-$97kDetected 22 hours ago
SQLSnowflakeCI/CDdbtData EngineeringData ScienceIncident ResponseResearchCommunicationCollaboration

About the role

  • As a for-profit, Public Benefit Corporation, we believe all students deserve access to meaningful, challenging content-and all teachers deserve tools that are intuitive, effective, and built for the realities of today's classrooms.
  • These programs reflect a shared belief in high expectations, joyful rigor, and deep respect for educators and students.
  • Where We're Headed Great Minds is entering a new stage of growth and product maturity.

Responsibilities

  • Lead end-to-end delivery of complex pipelines and integrations - source onboarding, secure connectivity, ingestion configuration (primarily Fivetran), validation, deployment, and operational handoff - with documentation sufficient for handoff.
  • Provide advanced platform support across ingestion, transformation, orchestration, monitoring, and warehouse operations, owning outcomes rather than just tickets.
  • Design and maintain dbt (or similar) models that transform raw data into curated, tested, documented, consumption-ready datasets.
  • Own pipeline reliability: monitoring/alerting, SLAs/SLOs for freshness and success rate, incident response, and root-cause analysis that produces preventative fixes.
  • Implement secure-by-design practices: least-privilege access, secure sharing, privacy/compliance support.
  • Partner with data governance and analytics to improve data quality and trust via validation checks, reconciliation, freshness monitoring, and source-to-target documentation.
  • Support deployment and change management through version control, CI/CD, and environment promotions, reducing manual effort per release.
  • Geodes® complements our reading suite with decodable texts that pair phonics with meaningful content to support early literacy.
  • PhD Science is a hands-on K-5 Science program that sparks curiosity as students build enduring knowledge of how the scientific world works.
  • Hands-on dbt (or comparable) experience building/maintaining data models in a cloud warehouse, including testing, documentation, and modular design.

Requirements

  • 5+ years in data engineering, platform, or data operations, with demonstrated ownership of production pipelines and reliability - not just participation.
  • proven track record diagnosing and resolving production issues (ingestion failures, schema drift, anomalies, performance bottlenecks), with real examples.
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a relative quantitative discipline.
  • A cover letter and resume are required to be considered for this position.
  • New employees will be required to successfully complete a background check.
  • Production experience with a modern cloud data warehouse; Snowflake strongly preferred (object management, performance, access patterns - not just SQL syntax).

Nice to have

  • Production experience with a modern cloud data warehouse
  • Snowflake strongly preferred (object management, performance, access patterns - not just SQL syntax).
  • Production experience with managed ingestion tooling (Fivetran preferred), including connector troubleshooting and scaling.

Compensation

  • $88k-$97k

Benefits

  • Strong prioritization skills; balances immediate fixes with long-term platform health.

Company info

  • Great Minds is a high-growth, mission-driven organization founded by educators in 2007.
  • We develop high-quality, knowledge-rich math, science and ELA curricula grounded in research and designed in collaboration with educators.
  • Our materials reflect real classroom needs and are built to drive lasting student outcomes.
  • We are committed to usability, coherence, and practical implementation-supporting teachers not just through curriculum, but with professional learning, purposeful technology, and responsive service that enable strong adoption and impact.
  • What We Build
  • Our products-Eureka Math and Eureka Math², Wit & Wisdom, PhD Science, Geodes, and the newly launched Arts & Letters ELA-are trusted by thousands of schools and districts nationwide.
  • Eureka Math is the most widely used math curriculum in the U.S., and is focused on balancing conceptual understanding, procedural fluency, and application.
  • Wit & Wisdom® and Arts & Letters ELA™ anchor our reading strategy with content-rich, grade-level instruction that integrates literature, history, and the arts, grounded in the science of reading. Geodes® complements our reading suite with decodable texts that pair phonics with meaningful content to support early literacy.
  • Where We're Headed
  • Great Minds is entering a new stage of growth and product maturity.
  • We are focused on building more connected, customer-informed experiences across the full educator journey-from curriculum to professional learning to platform and support.
  • Our long-term vision is to become a true partner in impact-not just delivering curriculum, but supporting educators in achieving outcomes at scale.
  • Great Minds is seeking a hands-on Senior Data Engineer to own delivery of reliable, scalable data pipelines and strengthen platform support for trusted analytics and reporting across the organization.
  • This role is about owning complexity in a production environment - inheriting imperfect integrations, diagnosing failures under time pressure, and deciding when to fix versus rebuild.
  • The right candidate can describe not just what they built, but what broke, how they found it, and what they changed so it wouldn't break the same way again.
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This listing is sourced directly from Great Minds's careers page and normalized into a canonical job model.