Data Engineering Intern: Build Scalable Data Pipelines

Fintech; Tampa (FL); On-site; USD 25,000 - 39,000; Full time

Job summary

Fintech in Tampa, FL seeks a Data Engineering Intern to support analytics and our data platform initiatives. You will help build data pipelines, improve quality, and work with engineers and analysts to enable scalable data solutions.

Ideal candidates are pursuing or recently completed degrees in CS/Data Eng/Statistics, with 0–1 year in Data or BI and familiarity with SQL, Python, and basic ETL concepts.

Qualifications

• Currently pursuing or recently completed a degree in a data-related field.
• Familiarity with SQL and Python and data concepts.
• Interest in ETL, data quality and documentation.
• Willingness to learn Azure/Data Lake and Databricks basics.

Responsibilities

• Assist in building and maintaining data pipelines.
• Help improve data quality and validation.
• Collaborate with engineers and analysts on data solutions.
• Document processes and data flows.

Skills

Attention to detail

Curiosity about data

Documentation

Willingness to learn

Analytical thinking

Education

Currently a student or recent graduate in CS/Data Eng/Statistics

0–1 years of experience in Data or BI

Tools

SQL

Python

Azure Data Lake

Databricks

Apache Superset

Job description

Fintech in Tampa, FL seeks a Data Engineering Intern to support analytics and our data platform initiatives. You will help build data pipelines, improve quality, and work with engineers and analysts to enable scalable data solutions.

Ideal candidates are pursuing or recently completed degrees in CS/Data Eng/Statistics, with 0–1 year in Data or BI and familiarity with SQL, Python, and basic ETL concepts.