Remote Data Engineer for PME & Pipelines

King County, WA

Seattle (WA)

Hybrid

USD 120,000 - 180,000

Full time

2 days ago
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Benefits offered by this job

Hybrid work model
County-issued laptop
Benefits package

Job summary

King County's Department of Community and Human Services is seeking a Data Engineer to design and optimize data infrastructure, pipelines, and cross-functional data flows. You will collaborate with partners to translate requirements into scalable technical solutions and to document data models, dictionaries, and architecture diagrams.

You will build analytical tools and dashboards (Tableau/Power BI) to deliver actionable insights on program performance, ensure data quality, and support

Qualifications

  • Minimum 5 years in data analytics or related field.
  • Minimum 3 years building and optimizing complex data pipelines.
  • Experience extracting, manipulating, matching, cleaning, and validating large data sets.
  • Strong understanding of business processes reflected in administrative data.
  • Expert SQL knowledge and relational DB familiarity.
  • Experience with Tableau and Power BI.

Responsibilities

  • Design and optimize data infrastructure and pipelines.
  • Build large, complex data sets meeting business requirements.
  • Create documentation: data models, dictionaries, and diagrams.
  • Develop dashboards and reports to visualize key findings.

Skills

SQL proficiency
Data pipelines
Relational databases
Data cleaning
Tableau & Power BI
Cross-functional teamwork
Documentation
Strong communication
Equity awareness

Tools

SQL
R
Tableau
Power BI

Job description

King County's Department of Community and Human Services is seeking a Data Engineer to design and optimize data infrastructure, pipelines, and cross-functional data flows. You will collaborate with partners to translate requirements into scalable technical solutions and to document data models, dictionaries, and architecture diagrams.

You will build analytical tools and dashboards (Tableau/Power BI) to deliver actionable insights on program performance, ensure data quality, and support

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