Data Engineer Intern

Job Title: Data Engineer Intern

Location: United States (Remote / Hybrid / Onsite – based on business needs)
Employment Type: Internship (Full-time / Part-time)
Duration: 3–6 Months (with potential for full-time conversion)
Start Date: Flexible

About the Role

We are seeking a motivated Data Engineer Intern to join our data and analytics team. This internship is designed for students or entry level candidates who are passionate about data engineering, big data technologies, and building scalable data pipelines. The intern will work closely with senior data engineers, data scientists, and product teams to support data-driven decision-making across the organization.

This role provides hands-on experience with real-world datasets, cloud platforms, and modern data engineering tools used in production environments.

Key Responsibilities

• Assist in designing, building, and maintaining ETL/ELT data pipelines

• Collect, clean, transform, and validate structured and unstructured data from multiple sources

• Support development and optimization of data warehouses and data lakes

• Write and optimize SQL queries for analytics and reporting use cases

• Work with batch and streaming data pipelines

• Assist in implementing data quality checks, monitoring, and logging

• Collaborate with data scientists to prepare datasets for machine learning models

• Document data pipelines, schemas, and workflows

• Support data migration and integration projects

• Follow best practices for data security, privacy, and governance

Required Qualifications

• Currently pursuing or recently completed a Bachelor’s or Master’s degree in:

  • Computer Science

  • Data Science

  • Information Systems

  • Software Engineering

  • or a related STEM field

• Strong understanding of data structures, algorithms, and databases

• Proficiency in SQL

• Basic to intermediate experience with Python or Java

• Understanding of ETL concepts and data pipeline architecture

• Familiarity with relational databases (PostgreSQL, MySQL, SQL Server, Oracle)

Preferred / Nice-to-Have Skills

• Exposure to Big Data technologies: Hadoop, Spark, Hive

• Experience with Cloud platforms: AWS, Azure, or Google Cloud

  • (e.g., S3, Redshift, BigQuery, Azure Data Factory)

• Familiarity with workflow orchestration tools: Airflow, Prefect, or similar

• Knowledge of data warehousing concepts (star/snowflake schemas)

• Understanding of streaming tools: Kafka, Kinesis, or Pub/Sub

• Basic experience with Linux/Unix environments

• Version control experience using Git/GitHub

• Awareness of data security and compliance best practices

Learning & Growth Opportunities

• Hands-on experience with production-grade data systems

• Mentorship from experienced data engineers

• Exposure to real-world business and analytics use cases

• Opportunity to convert to a full-time Data Engineer role based on performance

• Training on modern data engineering tools and cloud platforms

Soft Skills

• Strong analytical and problem-solving skills

• Willingness to learn and adapt quickly

• Good communication and documentation skills

• Ability to work independently and in a team environment

• Attention to detail and data accuracy

Eligibility & Work Authorization

• Open to entry level candidates and current students

• STEM students encouraged to apply

• Visa sponsorship (H1B/OPT/CPT) may be available for eligible candidates, in compliance with U.S. laws

How to Apply

Interested candidates should apply with:

• Updated resume

• GitHub portfolio or project links (if available)

• Brief cover letter describing interest in data engineering (optional)