Education Analytics strives to deliver sophisticated, research-informed analytics to educators and school administrators to support their work in improving student outcomes. To support them best, the data they receive must be accurate, up to date, secure, and easily accessible. The person in this role will be a critical team member who helps to make that a reality.
We are seeking a full-time Data Engineer or Analytics Engineer to lead the design, build, and maintenance of automated data pipelines and analytic systems. An ideal candidate has strong SQL skills and experience with data warehousing concepts, familiarity with complex data integration and/or analysis, and an interest in improving K-12 education.
This role supports the timely delivery of data and analytics to educators and administrators who use this data to drive change and improvement in education. We are looking for candidates who are innovative, hard-working, and curious to help us continue to develop our team's capacity in the development and use of cutting-edge tools. Our team is constantly evaluating tools for new projects and looking for the best tools for the job. Our current stack uses an ELT approach via Apache Airflow and dbt to create data warehouses in Snowflake or Postgres, depending on the scale of the data. A recent blog post on our website [link: https://www.edanalytics.org/blog/building-a-multi-source-analytics-database-to-support-teachers-during-covid-19 ] gives an example of a project that our team might work on.
How you will successfully onboard in this role
In your first few weeks, you will work through a training exercise our team has developed that familiarizes our new hires with our development setup & tooling, and join team meetings and 1-1 check-ins. From there, you will likely work on 1-2 projects and begin joining project meetings to gain familiarity with the context of the work we do. Next you will start to take on smaller tasks in those projects, and by 3-6 months in, begin to take the lead on larger features.
The weekly hour expectation is 45 hours per week, and nights and weekends are sometimes required. Our preference is for candidates to primarily work from EA’s office in Madison, WI.
Education Analytics is a non-profit organization that uses data analysis to inform education policy decisions. We work with school districts, regional offices of education, non-profits, and policymakers to identify ways to make education systems better.
This position will be open until 5:00 p.m. CST on Monday, November 8th.
Education Analytics is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Education Analytics strives to deliver sophisticated, research-informed analytics to educators and school administrators to support their work in improving student outcomes. To support them best, the data they receive must be…