3+ year of experience working in a data engineering, data science, or software engineering capacity
Expertise in writing and maintaining robust data pipelines in SQL and Python
A track record of turning data requirements from stakeholders into actionable plans
Experience with cloud-native solutions
A history of implementing and upholding best practices in data pipelines, ensuring accuracy, consistency, and reliability
Preferred Qualifications
Bachelor''s degree, or Master''s degree in computer science, statistics, information systems, or a related, technical field
Experience with a scripting language (e.g., Python, Java, or R)
Preferred Qualifications
5+ years of experience in data warehousing, data modelling, and building/maintaining ETL/ELT pipelines at scale.
Extensive experience with AWS, Google Cloud Platform (Eligible to workP), or Azure.
Proficiency in Apache Spark, Kafka, NoSQL databases, and orchestration tools like Apache Airflow.
Strong skills in Python, Java, or Scala.
Deep knowledge of SQL and, specifically, experience with Snowflake, Data bricks, or Redshift.
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Numbers & Facts
Location
Seattle, WA
Salary
$120,000–$130,000 Per Year
Skills
Amazon Web Services (AWS)unmatched
Apacheunmatched
Apache Kafkaunmatched
Apache Sparkunmatched
Best Practicesunmatched
Cloud Computingunmatched
Computer Scienceunmatched
Data Managementunmatched
Data Scienceunmatched
Data Warehousingunmatched
Database Extract Transform and Load (ETL)unmatched
Engineeringunmatched
Information Technology & Information Systemsunmatched
Javaunmatched
Lynxunmatched
Microsoft Windows Azureunmatched
NoSQLunmatched
Python Programming/Scripting Languageunmatched
R Programming Languageunmatched
SQL (Structured Query Language)unmatched
Scala Programming Languageunmatched
Scripting (Scripting Languages)unmatched
Snowflake Schemaunmatched
Software Engineeringunmatched
Statisticsunmatched
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