Data Engineering Intern Job at KQED, San Francisco, CA

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  • KQED
  • San Francisco, CA

Job Description

Job Description

Job Description

Deadline to apply for KQED Internships is Friday May 16th, 2025. Please state which internship(s) you are applying for in your cover letter and apply to each one individually. 

This is a paid internship, working 16 hours per week from July 7th, 2025 through December 19th 2025. Current Salary is $19.18 per hour. 

Position Summary:
The Audience Intelligence team is charged with providing KQED with the data needed to make data informed decisions. The team serves as the central data hub for the organization and works with a variety of departments including news, science, arts, marketing, foundations and audience development. The Data Engineering intern will mainly focus on helping us identify relevant data sources, building ELT connectors, transforming data, and managing data orchestration. The role may at times include exploratory data analysis, modeling, and reporting/dashboarding. The intern will also have the lead on a project allowing them to complete the internship with a deliverable that can be used in their future job search.

KQED envisions a public media organization with a culture that centers on human dignity, equity, and belonging. This will enable us to better serve and reflect the Bay Area through diverse and inclusive storytelling. 

We value the contributions of marginalized people in society — including Black, Indigenous, and all people of color, people with disabilities, and LGBTQIA+ people — and we believe that these communities must be centered in the work we do, and we strongly encourage members of these communities to apply.

The mission that drives us:

KQED provide citizens of Northern California with a community-supported alternative to commercial media. We provide citizens with the knowledge they need to make informed decisions; convene community dialogue; bring the arts to everyone and engage audiences to share their stories. We help students and teachers thrive in 21st-century classrooms, and take people of all ages on journeys of exploration- exposing them to new people, places and ideas.

This role requires working in KQED's newly renovated headquarters and working in the field. KQED requires employees to be fully vaccinated against COVID-19.

Essential Functions:
  • Write and deploy code to consolidate data that will inform organizational decisions and help us monitor our audiences
  • Help define key audience metrics and how they are calculated
  • Help define and manage the orchestration of our data workflows
  • Build visualizations that that provide a unified view of data across the org
  • Participate in meetings with stakeholder to identify and define data needs
  • Other functions assigned
Knowledge/Experience Required:

 
  • Proficiency in Python (including building complete projects and not just notebooks)
  • Familiarity with SQL
  • Interest in data management and orchestration
  • Excellent writing, research, and communication skills
  • Strong attention to detail
  • Problem-solving acumen
  • Capacity to balance multiple responsibilities
  • Ability to work independently
Knowledge/Experience Desired:
  • Bonus points for familiarity with:
    • BigQuery (or another analytical database like Clickhouse or DuckDB)
    • ELT platforms (e.g., AirFlow, AirByte, etc.)
    • GCP, AWS, or Azure
Growth & Development Opportunities:
Audience Intelligence interns have a huge impact on what we do. They are a full-fledged member of our team and their life experience, opinions, and ideas bring fresh approaches to the work we do and are incredibly valuable. As part of the audience intelligence team, the intern will learn what it means to put our audiences first as we look to find the stories in their data that will allow us to grow a younger, more diverse audience base. This internship will help develop and hone analytical, and communication skills. If there is anything specific an intern wants to learn about audience intelligence, we are committed to making that happen.

 

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