Senior Data Engineer, Analytics

🕒 July 21

🏛️ District of Columbia – Remote

🏛️ District of Columbia – Remote

💵 $88k - $97k / year

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Great Minds

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2007

📚 Education

Education

Great Minds is an educational company dedicated to developing high-quality instructional materials for students and teachers. It offers comprehensive curricula in mathematics, English language arts, and science, designed to build deep and enduring knowledge. Great Minds' products, such as the Eureka Math², Wit & Wisdom, and PhD Science, aim to advance equity in classrooms by engaging all learners. The company supports educators with professional learning resources and customizable teaching materials that align with state standards and focus on building essential skills and knowledge. Great Minds is committed to making educational opportunities accessible to every student and provides resources to help educators tailor instruction to meet diverse classroom needs.

📋 Description

• Lead end-to-end delivery of complex pipelines and integrations, including source onboarding, secure connectivity, ingestion configuration, validation, 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, tested, documented, consumption-ready datasets • Establish engineering standards for pipeline development, including naming conventions, load strategies, data contracts, error handling, and testing • Own pipeline reliability through monitoring, alerting, freshness and success-rate SLAs/SLOs, incident response, and root-cause analysis • Improve platform performance and cost efficiency through warehouse sizing, job scheduling, and query/pipeline tuning • Implement secure-by-design practices, including least-privilege access, secure sharing, and privacy/compliance support • Partner with data governance and analytics to improve data quality and trust through validation checks, reconciliation, freshness monitoring, and source-to-target documentation • Support deployment and change management through version control, CI/CD, and environment promotions • Mentor engineers through technical guidance and code review • Translate business needs into well-scoped technical solutions and communicate tradeoffs across technical and non-technical audiences

🎯 Requirements

• 5+ years in data engineering, platform, or data operations, with demonstrated ownership of production pipelines and reliability • Advanced SQL; proven track record diagnosing and resolving production issues • Hands-on dbt (or comparable) experience building and maintaining data models in a cloud warehouse, including testing, documentation, and modular design • Production experience with a modern cloud data warehouse; Snowflake strongly preferred • Production experience with managed ingestion tooling, with Fivetran preferred, including connector troubleshooting and scaling • Demonstrated experience implementing monitoring, alerting, and operational processes that improved reliability, MTTR, or freshness • Strong communication across technical and non-technical stakeholders • Strong prioritization skills, balancing immediate fixes with long-term platform health • Bachelor's degree in Computer Science, Engineering, Data Science, or a related quantitative discipline • Cover letter and resume required • Successful completion of a background check required • Legal authorization to work in the United States required; visa sponsorship requirements addressed in application