About the role#
We are seeking a curious, motivated Data Engineer Intern to support the design, development, and optimization of data platforms that power analytics, experimentation, and AI-driven workflows. This internship provides hands-on exposure to cloud data ecosystems including Databricks, Snowflake, AWS, Azure, and GCP. You will work closely with data engineers, analytics teams, and AI practitioners to learn how reliable data foundations enable intelligent agents, automation, and decision-making.
What you'll do#
- Assist in building and maintaining batch and streaming data pipelines.
- Support the development of ETL/ELT workflows.
- Help ingest structured and semi-structured data from various sources into raw and curated data layers.
- Write and maintain SQL and Python-based transformations for cleaning and aggregating datasets.
- Participate in implementing data quality checks, validation rules, and monitoring.
- Collaborate with team members to understand how datasets are consumed by analytics models and AI agents.
- Assist in preparing datasets and feature tables for AI/ML pipelines.
- Explore how AI agents interact with data platforms under the guidance of senior team members.
- Contribute to documentation of data flows, schemas, and pipeline logic.
- Follow data modeling, governance, and privacy best practices.
- Support version control and deployment processes.
What you'll need#
- Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related field.
- Basic proficiency in SQL, including joins, aggregations, and filtering.
- Familiarity with Python for scripting or data manipulation.
- Introductory understanding of data engineering concepts like ETL/ELT, data lakes, and data warehouses.
- Exposure to at least one cloud platform such as AWS, Azure, or GCP.
- Interest in AI, machine learning, or intelligent systems.
- Strong willingness to learn, ask questions, and collaborate.
- Clear written and verbal communication skills.
- Experience with Databricks, Snowflake, or BigQuery via academic or personal projects.
- Exposure to Apache Spark, dbt, or workflow orchestration tools.
- Familiarity with data formats like Parquet, JSON, Avro, or Delta Lake.
- Basic understanding of streaming versus batch processing concepts.
- Coursework or projects involving AI agents, LLMs, or ML pipelines.
- Awareness of data privacy concepts.
- Experience working in GitHub or similar version control systems.
Location & details#
- This is a remote internship beginning January 11th, 2027.
- The role requires 20-25 hours per week during the semester and up to 40 hours per week during breaks.
- Candidates should have an anticipated graduation date between May 2027 and December 2027.
About Acxiom
Acxiom provides data and technology services for marketing and advertising agencies. The company operates as a part of the Interpublic Group of Companies. It focuses on data management, identity resolution, and analytics to support client decision-making. Operations span the United States, United Kingdom, Germany, China, Poland, and Mexico. The firm maintains a staff of between 1,001 and 5,000 employees.
How to get in at Acxiom
Applying early to Acxiom gives you a significant advantage because recruiters review applications before the pile grows. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you can submit your materials among the first. This helps you avoid the frustration of applying to a role that has already been filled. You can also improve your response rates by reaching out to the recruiters behind these roles directly to ask about the position or a referral. Intern Insider surfaces the specific people managing the hiring process for Acxiom, which allows you to move beyond the standard application queue. Connecting with a human recruiter is often the most effective way to stand out in a competitive field.
