Data Engineer

HireRising

Arizona

Remote

USD 90,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Competitive pay
Comprehensive perks
Opportunities for upskilling

Job summary

A leading U.S. airline is seeking a Digital Analytics Engineer to optimize guest experiences across e-commerce platforms. This role involves managing tag implementation using Tealium and requires 3+ years in digital analytics, along with expertise in SDK implementation. The ideal candidate will have strong analytical skills and the ability to collaborate on KPIs to drive data-driven recommendations. Join an innovative organization offering competitive pay and extensive growth opportunities.

Qualifications

  • 3+ years in digital analytics engineering, martech implementation, or tag management (e-commerce/travel preferred).
  • Proven expertise with Tealium, including EventStream and AudienceStream.
  • Hands-on experience implementing SDKs for web and mobile event capture.
  • Knowledge of tag management best practices and building scalable processes.

Responsibilities

  • Implement and manage tag management with Tealium iQ, ensuring accurate event tracking across web and mobile.
  • Configure Tealium EventStream for real-time behavioral event collection and routing.
  • Collaborate on KPIs, guest journey tracking and data-driven recommendations.
  • Integrate SDKs in web and mobile apps to capture and structure events for Tealium.
  • Collaborate on KPIs and guest journey tracking to inform optimization and personalization.
  • Maintain scalable tag processes and troubleshoot data issues.
  • Analyze profiles and events to identify optimization opportunities.
  • Stay current on martech trends and platform updates.

Skills

Digital analytics engineering
Tealium expertise
SDK implementation
Tag management best practices

Education

Bachelor's degree in Computer Science, Analytics, Marketing, or related

Tools

Tealium
EventStream
AudienceStream
SDK integration

Job description

Location: Remote, Phoenix or Seattle preferred

Join a leading U.S. airline celebrated for exceptional guest care, people-first culture, and connecting millions across North America and beyond. Our client is seeking a Digital Analytics Engineer, offering competitive pay, comprehensive perks, and opportunities for upskilling and impactful work. Shape personalized guest experiences in a dynamic, innovative organization.

Overview

The Digital Analytics Engineer supports a new team dedicated to understanding and optimizing the guest experience across e-commerce platforms (website and mobile app). As a connector between specialized teams (bookings, flight management, analytics), this role uses Tealium to collect behavioral data, build unified customer profiles, and deliver insights on journeys, loyalty, purchase friction, and personalization opportunities.

Responsibilities
  • Implement and manage tag management with Tealium iQ, ensuring accurate event tracking across web and mobile.
  • Configure Tealium EventStream for real-time behavioral event collection and routing.
  • Utilize Tealium AudienceStream (CDP) to assign Visitor IDs and build/enrich unified profiles with behavioral, purchase, and loyalty data.
  • Integrate SDKs in web and mobile apps to capture and structure events for Tealium.
  • Collaborate on KPIs, guest journey tracking (e.g., first-time vs. frequent users, funnel drop-offs), and data-driven recommendations for ads, rewards, and experience improvements.
  • Apply best practices to build scalable tag processes, troubleshoot data issues, and maintain quality.
  • Analyze profiles and events to identify optimization opportunities.
  • Stay current on martech trends and platform updates.
Qualifications
  • 3+ years in digital analytics engineering, martech implementation, or tag management (e-commerce/travel preferred).
  • Proven expertise with Tealium, including EventStream and AudienceStream.
  • Hands-on experience implementing SDKs for web and mobile event capture.
  • Strong knowledge of tag management best practices and building processes.
  • Bachelor's degree in Computer Science, Analytics, Marketing, or related (or equivalent experience).
  • Familiarity with data privacy standards and high-traffic digital environments a plus.
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