Data Engineer

About the Role We are seeking a highly skilled Data Engineer to join our dynamic Data Engineering team. The ideal candidate has 4-7 years of data engineering experience and a solid understanding of Spark/PySpark and SQL, with data pipeline experience. You will help build and harden core pipelines that power our products, and shape best practices for data modeling, tooling, and reliability. This is a high-impact, first-hire opportunity to grow with the team, and the role is remote based in India. During onboarding, expect several hours of overlap with US working hours; afterward, IST hours apply with occasional US-team meetings. What You'll Do

• Report directly to a Manager of Data Engineering, who will provide hands-on training on cutting-edge data tools and techniques.
• Build and maintain end-to-end data pipelines.
• Help set best practices for data modeling and pipeline builds.
• Create AI-ready analytical datasets designed with the structure, metadata, documentation, and business context needed for effective use by AI agents and insight-driven applications.
• Become an expert at solving complex data pipeline issues using PySpark and SQL.
• Collaborate with stakeholders to incorporate business logic into our central pipelines.
• Deeply learn Databricks, Spark, AI, and other ETL toolings developed internally. What We're Looking For
• Bachelor’s or Master’s degree in Computer Science, STEM, or a related technical discipline.
• 4+ years of experience as a Data Engineer or in other technical functions.
• Excited about solving data challenges and learning new skills.
• Strong understanding of working with data and building data pipelines.
• Comfortable working with large-scale datasets using PySpark, Delta, and Databricks.
• Understand business needs and the rationale behind data transformations to ensure alignment with organizational goals and data strategy.
• Eager to constantly learn new technologies.
• Self-starter who enjoys working collaboratively with stakeholders.
• Exceptional verbal and written communication skills. Nice to Have
• Experience with Airflow, dbt, Snowflake, or equivalent. Compensation & Benefits
• Our compensation package includes comprehensive benefits, perks, and a competitive salary: we offer vacation time, parental leave, team events, learning reimbursement, and more.
• Growth-focused environment where impact matters more than tenure or office politics.
• We are an equal-opportunity employer.