Education Analytics (EA) is seeking to hire two 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 K-12 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.
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. Many of EA's partner organizations are large public school districts that serve diverse, often under-represented, student populations. Because of this, EA values a breadth of educational experiences in employees, and encourages applications from students who reflect these populations. We encourage applications from current undergraduate students from all ethnic and racial backgrounds, sexual orientations, gender identities and expressions, and first-generation college students.
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.
This opportunity is a fully in person role based out of our office in downtown Madison, Wisconsin. The salary for this position is budgeted at $21/hour. The program runs from June 3 – August 16, with flexibility for the right candidate.
Orientation to the Work
_Duties and Responsibilities _
Interns are expected to work 40 hours a week for at least ten weeks. Specific schedules will be determined by the supervisor/mentor.
Implement and design data warehousing structures for research, analytics, and reporting/dashboarding.
Apply best practices from software engineering to building data pipelines.
Help implement code testing, continuous integration, and deployment strategies to ensure system reliability.
Implement data pipelines to integrate data coming from a mix of APIs, flat files, or other database sources.
Create a final project, an independent hands-on learning experience, and share results to all EA colleagues at the end of the internship.
Establish and maintain positive relationships with internal stakeholders at all levels of the organization.
Safeguard confidentiality, privacy and security of organization and customer (PII) information.
Perform other duties as assigned.
_Required Knowledge and Skills. _
_Work Environment and Requirements _
_Benefits _
_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.