Employer will accept Bachelors degree in Computer Science, Information Technology, or closely related field, followed by 5 years of progressive, postbaccalaureate experience as a Software Engineer, Data Engineer, Data Analyst, or a related occupation includingbr 5 years of experience designing and implementing data structures and pipelines in data warehouses, managing data streaming, and performing log analysis and business analytics.br 5 years of experience in writing, analyzing, finetuning, and debugging SQL queries to work on business critical and customer facing datasets.br 3 years of experience utilizing Apache Kafka to process more than 2 Terabytes of realtime data as Streams in production.br 5 years of experience with Data Warehouse design, ETL Extraction, Transformation and Load, and architecting software designs for DW data warehouse platform.br 3 years of experience implementing data transformations in Python, R, and Apache Spark in production environments.br 3 years of experience using workflow management tools in production environments such as Apache Airflow.br 3 years of experience in building out visualizations, dashboards and reports using BI business intelligence tools, such as Tableau, and Looker.br 3 years of experience building data applications in columnar data warehouses like AWS Redshift, Snowflake, or similar databases.br br In the alternative, employer will accept a Masters degree in Computer Science, Information Technology, or closely related field, and 3 years of progressive, postbaccalaureate experience as a Software Engineer, Data Engineer, Data Analyst, or a related occupation includingbr 3 years of experience designing and implementing data structures and pipelines in data warehouses, managing data streaming, and performing log analysis and business analytics.br 3 years of experience in writing, analyzing, finetuning, and debugging SQL queries to work on business critical and customer facing datasets.br 3 years of experience utilizing Apache Kafka to process more than 2 Terabytes of realtime data as Streams in production.br 3 years of experience with Data Warehouse design, ETL Extraction, Transformation and Load, and architecting software designs for DW data warehouse platform.br 3 years of experience implementing data transformations in Python, R, and Apache Spark in production environments.br 3 years of experience using workflow management tools in production environments such as Apache Airflow.br 3 years of experience in building out visualizations, dashboards and reports using BI business intelligence tools, such as Tableau, and Looker.br 3 years of experience building data applications in columnar data warehouses like AWS Redshift, Snowflake, or similar databases.br br Travel required for staff meetings in San Francisco Bay area and Seattle area, for approximately 5 days per trip, twice a year. Telecommuting is permitted.br br Experience may be gained concurrently. Any suitable, equivalent combination of education, postbaccalaureate experience, or training is acceptable, as are foreign equivalent degrees.br br Prevailing wage issued for Bellevue, Washington 119,475year for primary requirements; 99,008year for alternative requirements. Prevailing wage issued for San Francisco, California 151,882 for primary requirements; 125,486 for alternative requirements. Offered wage of 160,000year is above prevailing wage.
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