Data Engineer, Analytics

This role is based in Bellevue, WA.

Compensation:

$205,831/year to $240,460/year + bonus + equity + benefits

Responsibilities:

• Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making.
• Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
• Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way.
• Define and manage SLA for all data sets in allocated areas of ownership.
• Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.
• Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.
• Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.
• Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
• Influence product and cross-functional teams to identify data opportunities to drive impact.
• Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
• Demonstrate good judgment in selecting methods and techniques for obtaining solutions.

Minimum Qualifications:

• Master's degree in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field and three years of work experience in the job offered or in a data analytics or computer-related occupation.
• Experience in features, design, and use-case scenarios across a big data ecosystem.
• Custom ETL design, implementation, and maintenance.
• Object-oriented programming languages.
• Schema design and dimensional data modeling.
• Writing SQL statements.
• Analyzing data to identify deliverables, gaps, and inconsistencies.
• Managing and communicating data warehouse plans to internal clients.
• Experience with MapReduce or MPP systems.
• Proficiency in Python.