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. 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.

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

Data Engineer II

Responsibilities

Qualification

Preferred

Company

Fanaticsfbg

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