Analytics Engineering Contractor

Develop a deep understanding of EarnIn's core business domains to evaluate whether AI-generated answers are correct for real business questions; your domain judgment is the most valuable input to the system.

Use AI-assisted coding tools (Cursor, Claude Code, Copilot, or similar) throughout both workstreams to develop applied AI skills in a real analytics engineering context.

Write clean, well-tested, and well-documented SQL and Python code that lasts beyond the internship.

Collaborate with engineers and analysts across the Data team; present your work and learnings to the broader team.

WHAT WE'RE LOOKING FOR

Currently pursuing a Bachelor's or Master's degree (B.E., B.Tech., M.Tech., or equivalent) in Computer Science, Data Science, Software Engineering, or a related field from an Indian university

Experience with SQL - writing queries, understanding data models, working with analytical datasets; coursework or personal projects count.

Familiarity with Python for data work; classroom or project experience is fine.

Eagerness to learn and actively use AI-assisted development tools (Cursor, Claude Code, GitHub Copilot, or equivalent) as part of your day-to-day workflow. This is a core expectation, not a nice-to-have.

Curiosity about how businesses work - you want to understand why a metric is defined a certain way, not just how to query it.

Ability to communicate progress proactively, ask good questions, and document your work clearly.

Self-starter mindset - you take initiative, seek feedback, and iterate quickly with moderate guidance.

Prior internship or project experience in data engineering, analytics engineering, and/or business intelligence is a plus.

Familiarity with Databricks, Spark, or dbt in any environment (coursework, personal project, or prior role) is a plus.

Exposure to data modeling concepts or BI tools (Tableau or similar) is a plus

#LI-Hybrid

At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant.

EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.