Data Engineer Intern

About the Role

Linkific is seeking a detail-oriented and technically curious Data Engineer Intern to support data infrastructure, analytics, and automation efforts. This role offers hands-on exposure to data collection, cleaning, structuring, and utilization for business decisions within a startup environment. You will collaborate with founders, product, and growth teams to build and maintain data pipelines, improve data quality, and enable reporting impacting sales, marketing, and operations.

Key Responsibilities

• Assist in collecting, cleaning, and structuring data from multiple sources (CRM, marketing tools, databases, APIs).
• Support the development and maintenance of data pipelines and ETL processes.
• Work with structured and unstructured datasets to improve data accuracy and consistency.
• Help design and maintain databases, tables, and schemas for analytics use cases.
• Assist in building dashboards, reports, and basic analytics for internal teams.
• Monitor data quality issues and help troubleshoot data discrepancies.
• Document data workflows, schemas, and internal data processes.
• Collaborate with product, sales, and marketing teams to understand data requirements.
• Learn and follow internal data SOPs, best practices, and security guidelines.

Requirements & Tech Stack

• Basic understanding of databases and data concepts (tables, joins, schemas).
• Working knowledge of SQL.
• Familiarity with Python or another scripting language for data processing.
• Strong logical thinking and problem-solving ability.
• Attention to detail and data accuracy.
• Comfortable using tools like Google Sheets, Docs, and basic dashboards.
• Experience with data tools such as BigQuery, PostgreSQL, MySQL, or similar is preferred.
• Basic understanding of ETL pipelines and data workflows is preferred.
• Exposure to APIs and data extraction methods is preferred.
• Familiarity with visualization tools (Looker Studio, Power BI, Tableau, etc.) is preferred.
• Interest in analytics, automation, SaaS, or AI-driven products is preferred.
• Previous academic or project-based experience with data is optional.

Qualifications

• Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, Statistics, or any related field.
• Students from other backgrounds with strong data and technical interest are welcome.

What You’ll Gain

• Real-world exposure to startup data engineering and analytics workflows.
• Hands-on experience working with live business data.
• Practical understanding of how data supports sales, marketing, and decision-making.
• Mentorship from founders and senior team members.
• Certificate of Completion and Letter of Recommendation (for strong performers).
• Opportunity for a paid role or long-term collaboration based on performance.