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Pride Global

San Francisco / Global

Data Engineer, Analytics

Job Description

Data Engineer IIILocation: Hybrid is okay in Bay Area, Seattle, OR New York Duration: extended after this year Pay: $80/hr.Summary: The main function of the Data Engineer is to develop, evaluate, test and maintain architectures and data solutions within our organization. The typical Data Engineer executes plans, policies, and practices that control, protect, deliver, and enhance the value of the organization's data assets.ResponsibilitiesDesign, build, and maintain scalable ETL/ELT data pipelines using tools (Dataswarm, Spark, etc.) Build and maintain dashboards and reporting tools (Unidash, internal BI platforms) Partner with Data Scientists and Product teams to vet data quality and ensure metric integrity Develop and maintain production-grade Hive/Presto tables with proper documentation and SLAs Monitor pipeline health, troubleshoot data quality issues, and implement alerting Optimize query performance and data models for efficiency at scale Support ad-hoc data requests and enable self-serve analytics for cross-functional partnersMinimum QualificationsBachelor's degree in Computer Science, Engineering, Mathematics, or a related quantitative field 3+ years of experience in data engineering, analytics engineering, or a related role Strong proficiency in SQL (Presto/Hive/SparkSQL) Experience building and maintaining data pipelines (Airflow, Dataswarm, or similar orchestration tools) Experience with Python or similar scripting language Familiarity with data warehousing concepts and dimensional modeling Strong problem-solving skills and attention to data qualityPreferred Qualifications5+ years of relevant experience in data engineering Experience with large-scale data processing frameworks (Spark, Hadoop) Experience with dashboard/visualization tools (Tableau, Unidash, or similar) Experience with logging infrastructure and instrumentation Familiarity with version control systems (Git, Mercurial) Experience working in a fast-paced, cross-functional environment Prior experience at a large tech company

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