Marketing Automation Intern

Reingold IncAlexandria, VA
Onsite

About The Position

As a Marketing Automation Intern, you will support the development, execution, and optimization of automated marketing programs that improve efficiency, personalize customer experiences, and drive measurable results. This role sits at the intersection of marketing and data engineering — roughly half of the work involves hands-on coding, data wrangling, and technical problem-solving. You'll write SQL to build and audit audiences, use Python (often with AI-assisted tools like Cursor) to automate workflows, and work across platforms like Salesforce Marketing Cloud, Adobe, GCP, and Databricks as our data infrastructure grows. Working closely with creative, digital, and account teams, you will help bring automated campaigns to life, apply industry best practices, and contribute fresh ideas in a collaborative, fast-paced environment. This is a great opportunity for an organized, analytical, and detail-oriented marketer who wants to build expertise in marketing automation, strengthen their technical and strategic skills, and see the direct impact of their work on campaign performance and customer engagement.

Requirements

  • Possess a bachelor’s degree, preferably in marketing or communications.
  • Communicate clearly and professionally, both orally and in writing.
  • Build and follow timelines and meet tight deadlines.
  • Possess a collaborative, team-player attitude.
  • Be eager to learn by doing and take initiative.
  • Be able to receive and incorporate peer feedback.
  • Proficiency in SQL — comfortable writing queries independently, not just reading them.
  • Some experience with Python, particularly for data manipulation or automation tasks; familiarity with AI-assisted coding tools (Cursor, GitHub Copilot, etc.) a plus.

Nice To Haves

  • Exposure to cloud data platforms (GCP, Databricks, or similar) preferred but not required.

Responsibilities

  • Write SQL queries to build targeted audience segments, audit data extensions, and maintain data quality standards across CRM and activation platforms.
  • Use Python (leveraging AI-assisted coding tools such as Cursor) to automate repetitive marketing workflows, data transformations, and reporting pipelines.
  • Support data field mapping from Salesforce Data Cloud to activation platforms (SFMC/Adobe), ensuring accurate identity resolution and personalization.
  • Assist in exploring and operationalizing GCP and Databricks integrations as the team expands its data infrastructure and pipeline capabilities.
  • Build responsive email templates and perform QA to verify dynamic content, UTM tracking, and brand standards across all devices.
  • Pull engagement metrics to update performance dashboards and document automated journey flows using tools like Lucidchart or Miro.
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