PME Data Engineer: Pipelines, Dashboards & Architecture

King County; Seattle (WA); Hybrid; USD 110,000 - 160,000; Full time

Job summary

King County's Performance Measurement and Evaluation (PME) unit seeks a Data Engineer to design, optimize, and manage large data systems and pipelines. You will collaborate with internal partners to extract, transform, and load data from diverse sources, create documentation, and ensure data quality for evaluative analytics.

The role emphasizes building scalable data architectures, developing dashboards, and delivering actionable insights to non-technical audiences while supporting

Qualifications

• Five (5) years of work experience in data analytics or related field.
• Three (3) years building and optimizing complex data pipelines and data sets.
• Expert SQL knowledge and experience with large relational databases and query authoring.
• Experience with visualization tools such as Tableau and Power BI.
• Strong documentation and knowledge management skills.

Responsibilities

• Create and maintain optimal data pipeline architecture and documentation.
• Build analytical tools that utilize data pipelines and provide actionable insights.
• Develop dashboards, charts, reports, and presentations for non-technical audiences.
• Provide consultation on data systems and technical issues to internal partners.
• Monitor data system changes and support cross-functional data collaborations.

Skills

SQL

R

Data pipelines

Data modeling

Documentation

Communication

Cross-functional teamwork

Data quality

Automation

Tools

Tableau

Power BI

Job description

King County's Performance Measurement and Evaluation (PME) unit seeks a Data Engineer to design, optimize, and manage large data systems and pipelines. You will collaborate with internal partners to extract, transform, and load data from diverse sources, create documentation, and ensure data quality for evaluative analytics.

The role emphasizes building scalable data architectures, developing dashboards, and delivering actionable insights to non-technical audiences while supporting