Description
We are seeking a highly skilled Senior Data Engineer to join our dynamic Data Engineering team. The ideal candidate possesses 6+ years of data engineering experience. An excellent candidate should have a solid understanding of Spark, PySpark, and SQL, and have data pipeline experience.
As a Senior Data Engineer at YipitData, you will:
- Report directly to a Manager of Data Engineering, who will provide significant, hands-on training on cutting-edge data tools and techniques.
- Build and maintain end-to-end data pipelines.
- Help with setting best practices for our 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 tooling developed internally.
You are likely to succeed if:
- You hold a Bachelor’s or Master’s degree in Computer Science, STEM, or a related technical discipline.
- You have 6+ years of experience as a Data Engineer or in other technical functions.
- You are excited about solving data challenges and learning new skills.
- You have a great understanding of working with data or building data pipelines.
- You are comfortable working with large-scale datasets using PySpark, Delta, and Databricks.
- You understand business needs and the rationale behind data transformations to ensure alignment with organizational goals and data strategy.
- You are eager to constantly learn new technologies.
- You are a self-starter who enjoys working collaboratively with stakeholders.
- You have exceptional verbal and written communication skills.
What we offer:
- Comprehensive benefits, perks, and a competitive salary.
- Vacation time, parental leave, team events, learning reimbursement, and more!
- Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics.
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