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Great Minds logo
Great Minds

Creator of Eureka Math, Wit & Wisdom, and PhD Science curricula and Geodes books for emerging readers.

Senior Data Engineer, Analytics

Data EngineerData EngineerFull TimeRemoteSeniorTeam 1,001-5,000Since 2007H1B No SponsorCompany SiteLinkedIn

Location

Worldwide

Posted

33 days ago

Salary

$88K - $97K / year

Seniority

Senior

Job Description

Senior Data Engineer, Analytics

Great Minds

Role Description Great Minds is seeking a hands-on Senior Data Engineer to lead delivery of reliable, scalable data pipelines and strengthen data platform support that enables trusted analytics and reporting across the organization. We are dedicated to generating and using data to inform strategy and evaluate performance—supporting our mission to drive change from leadership all the way to the classroom. This role is not primarily about building greenfield systems in isolation. It's about owning complexity in a production environment: inheriting integrations that may be imperfect, diagnosing failures under time pressure, and making deliberate decisions about when to fix versus when to rebuild. The right candidate has done this before and 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. You will own complex source integrations end-to-end, set engineering standards that measurably improve delivery speed and reliability, and build curated datasets using dbt (or similar) within our cloud data warehouse, including Snowflake. You will partner closely with analytics, data governance, and business stakeholders to deliver dependable data products, improve platform observability, and reduce operational burden through automation and best practices. Responsibilities - Lead end-to-end delivery of complex pipelines and integrations—including new source onboarding, secure connectivity, ingestion configuration (primarily Fivetran), validation, production deployment, and operational handoff. - Provide advanced platform support across ingestion, transformation, orchestration, monitoring, and warehouse operations. - Design and maintain dbt (or similar) models that transform raw data into curated, consumption-ready datasets. - Establish and promote engineering standards for pipeline development—naming conventions, load strategies, data contracts, error handling, and testing. - Own pipeline reliability end-to-end: implement monitoring and alerting, define SLAs and SLOs around freshness and success rate, lead incident response, and drive root-cause analysis. - Improve platform performance and cost efficiency by analyzing workload and resource usage, identifying bottlenecks, and implementing concrete optimizations. - Implement secure-by-design practices across the platform, including least-privilege access patterns and secure sharing approaches. - Partner with data governance and analytics teams to enhance data quality and trust. - Support deployment and change management for pipelines and warehouse objects through version control, CI/CD patterns, and environment promotions. - Mentor other engineers through technical guidance, code reviews, and coaching on best practices. - Collaborate cross-functionally to translate business needs into well-scoped technical solutions. Qualifications - 5+ years in data engineering, platform or data operations, or related roles—with demonstrated, specific ownership of production pipelines and platform reliability. - Advanced SQL proficiency and a track record of diagnosing and resolving production data issues. - Hands-on experience with dbt or a comparable transformation framework. - Experience supporting a modern cloud data warehouse in production, preferably Snowflake. - Experience operating managed ingestion tooling such as Fivetran in a production environment. - Demonstrated experience implementing monitoring, alerting, and operational processes. - Strong communication skills with both technical and non-technical partners. - Strong time management and the ability to balance competing priorities. - Commitment to excellence and a high level of integrity. Required Education - Bachelor’s degree in Computer Science, Engineering, Data Science, or a relative quantitative discipline. Status - Full-time - Location: Remote Salary Information The expected base salary range for this position is $88,000-$97,000, however the offered salary may be higher or lower than the above range dependent on numerous factors including, but not limited to location, work experience, skills and internal equity considerations. The base salary is not inclusive of benefits or other incentives. Application Process A cover letter and resume are required to be considered for this position. New employees will be required to successfully complete a background check. Any communication to applicants relating to the Great Minds hiring process will only come from email addresses with the domains greatminds.org or greatminds.recruitee.com. If in the course of the application or hiring process with Great Minds you are contacted through another domain, are requested to provide banking or other sensitive information, or you note any other suspicious activity, please contact security@greatminds.org. Equal Opportunity Employer Great Minds is an equal opportunity employer. We will extend equal opportunity to all individuals without regard to race, religion, color, sex (including pregnancy, sexual orientation, and gender identity), national origin, disability, age, genetic information, or any other status protected under applicable federal, state, or local laws.

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