Data Engineer

Summary

Join our team as a Data Engineer and contribute to transforming raw data into valuable insights, driving informed decision-making, and empowering everyone to make informed choices.

Requirements

• Strong technical knowledge of programming languages, including SQL, Python, and Spark
• Experience integrating, transforming, and consolidating data from diverse data systems into analytics solutions
• Good understanding of databases, SQL coding, ETL tools/techniques, data profiling, and modeling
• Proficiency in implementing data cloud platforms and constructing data pipelines
• Excellent communication skills to collaborate with cross-functional teams

Responsibilities

• Build and maintain robust data pipelines and integrations
• Ensure data quality
• Enable self-serve analytics across our platforms
• Maintain product cross-references for our product lines, aiding reconciliation with Finance ledger entries
• Develop and maintain integrations with 3rd party software
• Construct data pipelines using Databricks technology to ensure data quality, facilitating self-serve analytics in Looker
• Develop pipelines to deliver data to external parties

Benefits

• Compensation tied to market data
• We reward for contribution
• Everyone gets equity
• Flexible Time-off
• We’re committed to career development
• Work from home