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Senior Data Engineer

RemoteUnited States, District of Columbia, WashingtonDigital Product

Job description

Great Minds, a rapidly growing challenger brand in the PK–12 instructional materials space, seeks a  Senior Data Engineer to join our dynamic, growing  Data & Insights team.

Company Profile

Great Minds, a mission driven Public Benefit Corporation, brings teachers and scholars together to craft exemplary instructional materials that inspire joy in teaching and learning. Our English curriculum, Wit & Wisdom®, Eureka Math™ and PhD Science™, all support teachers as they take students beyond rote learning to provide a deeper, more complete understanding of the humanities, mathematics, and the sciences. Founded in 2007, Great Minds now employs more than 1000 people. For additional information please visit:

Our Market Position

Great Minds’ Eureka Math is the most widely used curriculum in the history of American education. It enjoys an unrivaled 40+ net promoter score. Eureka and its sister products, Wit & Wisdom English and PhD Science, embrace much higher expectations for all students and all teachers. In a market dominated by scripted, procedural materials that drive expectations down, Great Minds produces curricula that celebrate knowledge, respect the craft of teaching, and acknowledge the true capabilities of students.

Job Purpose

As a Great Minds Senior Data Engineer you will be the primary data engineer of the enterprise data platform. The role will focus on designing and building data models, data structures, and data pipelines. The role will also participate in analyzing and selecting appropriate tools for ELT processes and data warehousing. The Senior Data Engineer will work with the Data Architect and the larger data team to help build the data platform.


  • Set up data ingestion and transformation pipelines; work with consulting partner to build them
  • Design and build data models and structures for analytics purposes; work with consulting partner and other team members to build them
  • Ingesting priority data into the data warehouse/data lake and prepping the data for analysis
  • Identify and improve processes to meet efficiency and scalability needs 
  • Participate in tool selection with the focus on the following areas: Ingestion, Data Lake, Data Governance, Data Catalog

Job requirements

  • 4 or more years of experience with data collection, ingestion, and ETL/ELT processes
  • 4 or more years of experience with building data warehouses or data lakes
  • Strong Data Analysis skills to understand how the raw data is set up and what the desired outcomes are
  • 2 or more years of experience with AWS systems
  • 4 or more years of experience writing complex queries using SQL, PostgreSQL
  • 3 or more years of experience with programming languages such as Python
  • Familiarity with data visualization tools and understanding how to best model data for such tools
  • Bachelor's degree

Location: Washington, DC, or remote in the Eastern or Central time zones preferred

Any communication to applicants relating to the Great Minds hiring process will only come from email addresses with the domains or 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

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. Our policy reflects and affirms the organization’s commitment to the principles of fair employment and the elimination of all discriminatory practices.