Data Engineer II - (Remote)

About the Team

We're looking for a Data Engineer II to join our Data Engineering team, which builds and governs the data foundation that powers the business. You'll work within our stack — Python ingestion pipelines, Airflow orchestration, and Snowflake/Databricks — helping move data reliably and securely from source to decision-ready output.

This is an entry-level role. You'll execute well-defined tasks under the direction of senior data engineers, learn our team's stack and conventions, and build a strong foundation in pipeline correctness. You're not expected to own designs independently yet — you're expected to build reliable software against a design, ask good questions, and grow quickly from feedback.

Responsibilities

• Implement ingestion pipelines and Airflow DAGs from a senior engineer's design, using the team's scaffolding and conventions — including writing the code, unit tests, and documentation
• Support data security and governance work, such as PII masking and access controls, following established patterns
• Contribute to data delivery work, including reverse ETL integrations, under guidance from senior engineers
• Add and extend fields in existing pipelines, incorporating review feedback and applying learned patterns on future work
• Take oncall pages for pipeline failures, work through runbooks, and escalate with clear context when needed
• Pair with senior engineers on data integrity issues you can't yet diagnose alone
• Write clear, reviewer-friendly PR descriptions and ask clarifying questions before starting new work
• Flag blockers early and with context rather than going quiet when stuck
• Build strong working relationships with internal stakeholders (BI analysts, other data engineers, data scientists) and help gather and clarify requirements
• Conduct and participate in code and system inspections
• Help the team define and adhere to data engineering best practices
• Mentor more junior data engineers as you grow into the role

Experience and Skills

• 1–3 years of professional software or data engineering experience
• A self-learner with a strong ability to gather, evaluate, and analyze requirements
• Solid foundation in Python and deep understanding of S