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Salary: USD 110,000 - 120,000 / annual
Hometap is a fintech company offering home equity investments that allow homeowners to access equity without taking on debt. The company has been recognized by The Boston Globe, Forbes, and Inc. for innovation and workplace culture.
As a Digital Analytics Engineer, you will own how Hometap captures and governs its product and marketing event data. You'll manage an ecosystem of roughly 200 product events, maintaining the event taxonomy and tracking plan to ensure data flowing into downstream tools remains trustworthy. You'll sit on the data engineering and analytics team and collaborate closely with marketing, product, and engineering teams who rely on this data for decision-making.
Key responsibilities include:
- Audit the current Segment inventory, consolidate duplicates and naming drift, and establish a governed object-action naming convention
- Build and maintain the tracking plan, keeping it navigable and deliberately deprecating events as the product evolves
- Stand up enforcement mechanisms to gate standards
- Configure and manage Segment Protocols for schema validation and violation handling, managing sources feeding downstream tools
- Advise on hybrid capture models with product and engineering to determine whether events should be server-side, client-side, or both
- Partner with marketing, product, and engineering to translate requirements into well-formed event specifications
- Document tracking standards, interact with teams to ensure consistent instrumentation, and run a review process for proposing, approving, and deprecating events
- Build automated monitoring for schema conformance, event volume, and property completeness to catch naming drift, type mutation, and alert on shifts before they corrupt downstream metrics
This role is ideal for someone early in their analytics engineering career who cares deeply about data quality, can transform messy tracking into a clear system, and is comfortable partnering across teams to get instrumentation right.
Requirements:
- 2+ years of experience in a Data Analyst, Data Analytics, or similar role
- Experience with Segment or a similar customer data platform; familiarity with Amplitude, Mixpanel, PostHog, or GA4 is a plus
- Solid grasp of event taxonomy and tracking-plan concepts, including object-action naming, controlled vocabularies, and property typing
- SQL proficiency and comfort querying data in a cloud data warehouse
- Working knowledge of JSON Schema and JavaScript
- Familiarity with Git and CI/CD, and the instinct to treat tracking like code by wiring validation and tests into the pipeline
- Ability to explain tracking standards clearly to marketing, product, and engineering partners and align non-technical stakeholders on why governance matters
