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Data Engineer, Data360 & Tableau

Job in El Segundo, Los Angeles County, California, 90245, USA
Listing for: 24 Hour Home Care
Full Time position
Listed on 2026-06-20
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

THE ROLE:

The Data Engineer, Data
360 & Tableau is responsible for designing, building, and maintaining customer data solutions, reporting infrastructure, and analytics capabilities that support enterprise growth and decision-making. This role partners closely with Sales, Marketing, Operations, Finance, and leadership teams to develop scalable data pipelines, Customer 360 solutions, and business intelligence tools that provide actionable insights into customer, referral source, and operational performance. The Data Engineer combines expertise in data engineering, Tableau development, data integration, and customer intelligence to strengthen data governance, reporting consistency, and organizational visibility.

Primary

Responsibilities
  • Design, develop, and maintain data pipelines, integrations, and data models that support Customer 360 initiatives and enterprise reporting capabilities
  • Build and optimize Tableau dashboards, executive reporting, and customer intelligence solutions that drive operational and strategic decision-making
  • Integrate data across Salesforce and other enterprise systems to create a unified view of customers, referral sources, partners, and business performance
  • Ensure data quality, governance, consistency, and reliability across reporting platforms and data environments
  • Partner with cross-functional stakeholders to define reporting requirements, develop analytics solutions, and deliver actionable business insights
  • Support customer segmentation, forecasting, referral source analytics, and growth-focused reporting initiatives
  • Collaborate with Business Intelligence leadership on enterprise data strategy, architecture, automation, and continuous improvement efforts
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