Senior Digital Analytics Engineer

The Senior Digital Analytics Engineer on Glassdoor's Digital Analytics team owns the behavioral data layer: how user interactions across Glassdoor's web and app experiences are defined, collected, routed, and made trustworthy for product, marketing, and analytics teams. This is a technical role spanning event instrumentation, customer data infrastructure, and analytics tooling. You'll design tracking plans and event schemas, manage client- and server-side data collection through tag management and RudderStack, and make sure event data lands accurately in Amplitude, Snowflake, and downstream marketing destinations. On a small team, you'll own work end to end, from partnering with engineers on instrumentation to validating data in production and helping stakeholders use it. This work directly contributes to our mission of helping people get jobs by giving teams reliable insight into how job seekers and employers use Glassdoor.

• Designing and maintaining tracking plans, event taxonomies, and governance standards (naming conventions, property schemas, validation rules) for product and marketing analytics across web and mobile

• Implementing and managing client- and server-side data collection through tag management (e.g., Google Tag Manager) and RudderStack, including SDK configuration, transformations, and destination routing for millions of events per day

• Leading the shift of marketing measurement from browser pixels to server-side, CDP-based event delivery, balancing measurement accuracy, site performance, and consent requirements; owning intake and governance for tag requests

• Administering and optimizing Amplitude, including taxonomy governance, identity resolution, experimentation, session replay, and heatmapping, to support self-serve analytics

• Building and maintaining SQL-based transformations and integrations that connect behavioral data across RudderStack, Amplitude, Snowflake, and marketing platforms

• Monitoring event data quality through automated validation, alerting, and QA; diagnosing tracking breaks, identity mismatches, and cross-tool discrepancies

• Partnering with product engineering, marketing, analytics, privacy, and vendors to scope instrumentation, review implementations, evaluate technologies, and meet privacy and consent standards

• Leading continuous improvements in instrumentation standards, tooling, documentation, and AI-assisted development practices, and providing training and consulting for teams that use event data

• Requires a Bachelor’s degree, and a minimum of 5 years of related experience; or a Master’s degree with a minimum of 3 years of experience; or a PhD without experience

• Experience using AI-powered development tools (GitHub Copilot, ChatGPT, or similar) to speed up code development, debugging, and documentation

• Solid SQL skills and experience with cloud data warehouses

• Direct experience with customer data platforms or event collection tools (RudderStack, Segment, mParticle, or similar)

• Deep experience implementing and governing product analytics platforms (Amplitude, Mixpanel, or similar), including taxonomy design and user identity management

• Expertise with tag management systems (Google Tag Manager, Tealium, or similar), plus working knowledge of JavaScript and browser-level debugging (dev tools, network inspection)

• Familiarity with marketing measurement (conversion APIs, attribution, pixel-based tracking) and consent management and privacy regulations such as GDPR and CCPA Proficiency in Python or JavaScript for automation, transformations, and API integrations

• Experience improving data quality, reliability, and performance through automation and engineering best practices

As the world’s number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers.

This role sits within Glassdoor, where professionals go to zero in on the next step in their career. Rooted in transparency and trust, we have long empowered people to make informed career decisions. We combine authentic employee voices with insights about companies and AI-driven personalization to help job seekers find roles where they can grow and thrive.

Join us as we make worklife better, together.

(*Comscore, Total Visits, March 2026)

The salary range for this role reflects the minimum and maximum compensation for the role. Offers are typically made between the range minimum and the range midpoint. Actual compensation will be determined based on job-related skills, experience, and expertise, as evaluated during the interview process. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits. Compensation may also vary based on where a role is performed, as work locations are grouped into geographic pay tiers to reflect cost of labor differences in different geographic markets. Candidates can view geographic pay tiers by location on our career site (https://www.indeed.com/careers/paytiers), and recruiters can confirm how location is considered for a specific role.

Tier 1 - United States of America 119,000 - 179,000 USD per year
Tier 2 - United States of America 133,000 - 199,000 USD per year
Tier 3 - United States of America 146,000 - 218,000 USD per year
Tier 4 - United States of America N/A
Tier 5 - United States of America 166,000 - 250,000 USD per year

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Those with military experience are encouraged to apply. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome.

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AI Notice

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Reference ID: 47406

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The deadline to apply to this position is 10/12/2026. Job postings may be extended at the hiring team’s discretion based on applicant volume.