Education Analytics strives to deliver sophisticated, research-informed analytics to educators and school administrators to support their work in improving student outcomes. To best support them, the data they receive must be accurate, up to date, secure, and easily accessible. Summer interns in this role will have a unique opportunity to learn and contribute to the data systems that support this mission.
We are seeking Summer Interns for the Data Engineering team who are motivated to learn the technical skills and concepts needed to build data systems for analytics in K12 Education. For this role, we are seeking candidates who may not yet have experience in the data engineering field but have demonstrated programming skills and an interest in working with data. In this role, a successful candidate will build skills in data engineering and analytics engineering. We’re looking for someone who is interested in learning data modeling concepts and building data systems and data products that are user-friendly and reliable.
Interns will work closely with our full-time data engineering staff to support 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. Successful Interns will be driven to learn, understand, and challenge these tools and the engineering practices they support. 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. These blog posts on our website illustrate some projects that someone on our team might work on.
Please tell us about your interests and aspirations in your application. We are encouraging candidates without any data engineering experience to apply, so the application will help us understand why you are a strong candidate for this position.
This opportunity is a fully onsite role based out of our office in downtown Madison, Wisconsin. The wage for this position is $22/hour and includes an additional housing stipend for hybrid/onsite roles. The program runs from June 2 – August 15, with flexibility for the right candidate.
Expectations and logistics of the role:
Some things you might learn and experience during your internship:
Qualifications:
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. Depending on your background, we also have resources available to learn specific technologies that we use at EA. You will work with an assigned mentor on the data engineering team who will serve as your guide and be a part of a guided internship program across Education Analytics. From there, you will have the opportunity to join project meetings to gain familiarity with the context of the work we do. You will also be assigned a personal project based on your interests that you will lead and present to the organization at the end of the internship.
Work Environment and Requirements:
About us:
Education Analytics (EA) is a non-profit organization based in Madison, WI that creates research-informed analytics to support school districts, regional offices of education, non-profits, and policymakers in improving student outcomes and education systems with data-driven decision making.
Additional Details:
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.
The job duties, responsibilities, skills, experience, educational factors and the requirements and conditions listed in this job description are representative only and not exhaustive of the tasks that an employee may be required to perform. The employer reserves the right to revise this job description at any time and require employees to perform other tasks as circumstances or conditions of its business, competitive considerations or the work environment change.