Software Data Engineer Intern — Databricks & Cloud AI

RXinsider LTD.; City of Binghamton (NY); On-site; USD 25,000 - 36,000; Part time

Benefits offered by this job

Gain hands-on experience

Mentorship and network building

Career-building resume support

Potential full-time opportunities

Job summary

iA (Innovation Associates) is seeking a Software Data Engineering Intern to join a 10-week summer program. You will contribute to data warehousing, ETL development, and cloud-based data platforms using Databricks, SQL, and Python.

You will gain hands-on experience enabling analytics, AI capabilities, and dashboards for enterprise data. The role emphasizes learning, collaboration, and building scalable data pipelines.

Qualifications

• Pursuing degree in Computer Science, Information Technology, Data Science, or related fields.
• Hands-on knowledge of SQL or TSQL.
• Familiarity with Excel and Power BI.
• Some programming experience in JavaScript/TypeScript or Python.
• Exposure to Databricks, Spark, data lakes or data warehouses.

Responsibilities

• Implement components of data warehousing and ETL processes under guidance.
• Develop data solutions on Databricks for analytics and AI capabilities.
• Create and maintain curated data models and metadata for analytics.
• Prepare data for self-service AI and analytics experiences.
• Document proposed and implemented solutions with strong technical writing.

Skills

SQL/TSQL

Python

JavaScript/TypeScript

Data structures

Algorithms

AI/ML interest

Databricks familiarity

Spark exposure

Excel/Power BI

Cloud basics (Azure)

Education

Pursuing CS/IT/Data Science degree

Tools

Databricks

Spark

Azure Cloud

Power BI

Job description

iA (Innovation Associates) is seeking a Software Data Engineering Intern to join a 10-week summer program. You will contribute to data warehousing, ETL development, and cloud-based data platforms using Databricks, SQL, and Python.

You will gain hands-on experience enabling analytics, AI capabilities, and dashboards for enterprise data. The role emphasizes learning, collaboration, and building scalable data pipelines.