Data Engineer Intern

About the Role

We are seeking a detail-oriented and technically curious Data Engineer Intern to join Linkific's remote data infrastructure, analytics, and automation teams. This internship offers exceptional hands-on exposure for students eager to understand how raw data is collected, cleaned, structured, and leveraged for critical business decisions in an agile startup environment.

Key Responsibilities

• Data Pipeline Development: Assist in collecting, cleaning, and structuring data from diverse sources including CRMs, marketing platforms, databases, and APIs. Support the development and maintenance of robust ETL processes. Work with both structured and unstructured datasets to enhance data accuracy and consistency.
• Database Management: Help design and maintain scalable databases, tables, and schemas tailored for analytics use cases. Assist in building interactive dashboards, reports, and basic analytics tools that empower internal teams.
• Data Quality & Operations: Monitor data integrity issues and troubleshoot discrepancies to ensure reliability. Document workflows, schema definitions, and standard operating procedures (SOPs).
• Cross-Functional Collaboration: Work directly with founders, product managers, sales, and marketing teams to translate business requirements into technical solutions.

Required Skills & Qualifications

• Pursuing or recently completed a degree in Computer Science, Data Science, Engineering, Statistics, or related fields. Students from other backgrounds with strong data curiosity are welcome!
• Core Competencies: Basic understanding of database concepts (tables, joins, schemas) and working proficiency in SQL. Familiarity with Python or another scripting language for data processing.
• Mindset: Strong logical thinking, exceptional problem-solving abilities, attention to detail, and accuracy-focused approach.

Preferred Skills (Nice-to-Have)

• Data Stack: Experience with tools like BigQuery, PostgreSQL, MySQL. Understanding of ETL pipelines and data orchestration workflows.
• Viz & Tools: Exposure to APIs for extraction; familiarity with visualization platforms such as Looker Studio, Power BI, or Tableau. Interest in AI-driven products, SaaS models, automation, and analytics domains.

Careers Opportunity

You'll Gain: Real-world startup experience working with live business data; mentorship directly from founders and senior engineers; a certificate of completion and letter of recommendation for high performers. Potential conversion to a paid full-time role or long-term collaboration based on performance.