Intern, Data Engineer

🔥 15 hours ago

🇺🇸 United States – Remote

⏱ Part Time

⚪️ Entry-level

🚰 Data Engineer

🚫👨‍🎓 No degree required

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👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Acxiom

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1968

💼 Consulting

🏥 Healthcare

🍽️ Food & Beverage

Consulting • Healthcare • Food & Beverage

Acxiom is a leading data service provider that specializes in leveraging data management, identity resolution, analytics, and martech services to help businesses enhance their marketing efforts. With a commitment to the ethical use of data, Acxiom offers solutions across various industries such as automotive, healthcare, telecommunications, financial services, and retail. Their expertise aids in optimizing marketing strategies to acquire, retain, and grow customer relationships. Acxiom partners with renowned platforms such as Adobe, Salesforce, and Snowflake to drive data-driven marketing and enable digital transformation for their clients.

📋 Description

• Support the design, development, and optimization of modern data platforms for analytics, experimentation, and AI-driven workflows • Assist in building and maintaining batch and streaming data pipelines using Spark, Databricks, Snowflake, and cloud-native services • Support ETL/ELT workflows using Apache Airflow, dbt, or managed cloud schedulers • Help ingest structured and semi-structured data from S3, ADLS, GCS, APIs, or Kafka into raw and curated data layers • Write and maintain SQL and Python transformations for cleaning, joining, and aggregating datasets • Participate in data quality checks, validation rules, and basic monitoring • Collaborate with data engineers, analysts, data scientists, and AI practitioners • Prepare datasets and feature tables for AI/ML pipelines and autonomous agents • Explore AI-agent interactions with data platforms, including querying data, triggering pipelines, and summarizing results • Document data flows, schemas, and pipeline logic • Learn and follow data modeling, governance, and privacy best practices • Support version control and deployment using Git and basic CI/CD workflows

🎯 Requirements

• 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 ETL/ELT, data lakes, and data warehouses • Exposure to at least one cloud platform: AWS, Azure, or GCP • Interest in AI, machine learning, or intelligent systems • Strong willingness to learn, ask questions, and collaborate in a team environment • Clear written and verbal communication skills with attention to detail • Anticipated graduation date between May 2027 and December 2027 • Preferred: project experience with Databricks, Snowflake, or BigQuery • Preferred: exposure to Apache Spark, dbt, or workflow orchestration tools • Preferred: familiarity with Parquet, JSON, Avro, or Delta Lake • Preferred: basic understanding of streaming versus batch processing • Preferred: coursework or projects involving AI agents, LLMs, or ML pipelines • Preferred: awareness of data privacy concepts such as PII, GDPR, or CCPA • Preferred: experience with GitHub or similar version control systems

🏖️ Benefits

• Part-time internship schedule: 20–25 hours/week during the semester and up to 40 hours/week during breaks