Intern - Data Engineer - Summer 2026 at Acxiom in Remote

Summary: Acxiom is a company seeking a curious and motivated Data Engineer Intern to support the design, development, and optimization of modern data platforms. The role involves hands-on exposure to cloud data ecosystems and contributions to real-world ETL/ELT pipelines, data transformations, and AI-driven workflows. Responsibilities: - Assist in building and maintaining batch and streaming data pipelines using tools such as Spark, Databricks, Snowflake, and cloud-native services - Support the development of ETL/ELT workflows using orchestration tools like Apache Airflow, dbt, or managed cloud schedulers - Help ingest structured and semi-structured data from sources such as S3, ADLS, GCS, APIs, or Kafka into raw and curated data layers - Write and maintain SQL and Python-based transformations for cleaning, joining, and aggregating datasets - Participate in implementing data quality checks, validation rules, and basic monitoring to ensure data accuracy and reliability - Collaborate with data engineers, analysts, and data scientists to understand how datasets are consumed by analytics models and AI agents - Assist in preparing datasets and feature tables that can be used by AI/ML pipelines or autonomous agents for decision-making and automation - Explore how AI agents can interact with data platforms (e.g., querying data, triggering pipelines, summarizing results) under guidance from senior team members - Contribute to documentation of data flows, schemas, and pipeline logic to support team knowledge sharing - Learn and follow data modeling, governance, and privacy best practices, especially in regulated or privacy-conscious environments - Support version control and deployment processes using Git and basic CI/CD workflows Required Qualifications: - 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 simple joins, aggregations, and filtering - Familiarity with Python for scripting, data manipulation, or coursework projects - Introductory understanding of data engineering concepts, such as ETL/ELT, data lakes, and data warehouses - Exposure to at least one cloud platform (AWS, Azure, or GCP) through coursework, labs, or personal projects - Interest in AI, machine learning, or intelligent systems, especially how they depend on high-quality data - Strong willingness to learn, ask questions, and collaborate in a team environment - Clear written and verbal communication skills with attention to detail Preferred Qualifications: - Academic or personal project experience with Databricks, Snowflake, or BigQuery. Exposure to Apache Spark, dbt, or workflow orchestration tools - Familiarity with common data formats such as Parquet, JSON, Avro, or Delta Lake. Basic understanding of streaming vs. batch processing concepts - Coursework or projects involving AI agents, LLMs, or ML pipelines, such as: Using agents to query data or generate insights, Automating data-related tasks with AI-assisted workflows - Awareness of data privacy concepts (e.g., PII, GDPR, CCPA), even at a conceptual level - Experience working in GitHub or similar version control systems Required Skills: SQL, Python, Data Engineering Concepts, ETL/ELT, Data Lakes, Data Warehouses, Cloud Platforms, AWS, Azure, GCP, AI, Machine Learning, Willingness to Learn Internship Start Date: Start in 2026 Summer