Data Engineer Intern: Build Data Pipelines & AI Analytics

The Hartford

Columbus (OH)

Hybrid

USD 28,000 - 41,000

Part time

4 days ago
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Job summary

The Hartford is offering a Tech & Data Program Summer 2027 – Data Engineer Intern in Columbus, OH. This hybrid internship provides hands‑on experience building data pipelines, working with cloud platforms, and supporting analytics and AI initiatives within the insurance industry.

You will gain exposure to ETL/ELT, data transformation, data quality, and modern data engineering practices using Python, SQL, Snowflake, and GitHub.

Qualifications

  • Strong analytical, problem‑solving, and critical thinking skills.
  • Strong communication, collaboration, and interpersonal skills.
  • Curiosity and willingness to explore new technologies and challenge assumptions.
  • Demonstrated ability to analyze complex problems using structured thinking and logical reasoning.
  • Commitment to ethical judgment, responsible data use, and understanding how technology decisions affect stakeholders and the business.

Responsibilities

  • Build and support data pipelines that ingest, transform, and prepare data for business and analytical use.
  • Work with structured and unstructured data to enable analytics, reporting and AI‑driven solutions.
  • Apply data engineering tools and techniques (e.g., Python, SQL, ETL processes, cloud technologies) to develop reliable data assets.
  • Ensure data quality, consistency, and performance through profiling, validation, and monitoring activities.
  • Collaborate with cross‑functional teams to deliver scalable data solutions that address business needs.
  • Leverage AI tools (e.g., Copilot) to enhance productivity and support the development of data solutions that power advanced analytics and machine learning.

Skills

Python
SQL
PL/SQL

Tools

Snowflake
GitHub
Tableau

Job description

The Hartford is offering a Tech & Data Program Summer 2027 – Data Engineer Intern in Columbus, OH. This hybrid internship provides hands‑on experience building data pipelines, working with cloud platforms, and supporting analytics and AI initiatives within the insurance industry.

You will gain exposure to ETL/ELT, data transformation, data quality, and modern data engineering practices using Python, SQL, Snowflake, and GitHub.

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