Engineering Manager - Data Acquisition and Normalization

Engineering Manager - Data Acquisition And Normalization

ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly login across websites without having to create a new login and verify their identity again. Over 140 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 44 state government agencies, and 66 healthcare organizations. More than 600 consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me's technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to "No Identity Left Behind" to enable all people to have a secure digital identity.

About The Role

ID.me is seeking an Engineering Manager to lead our Attribute Validation Service (AVS) Data Acquisition & Normalization team. This team is responsible for building and operating the integrations that power the Identity Trust Graph acquiring, normalizing, and refreshing identity attributes from authoritative and commercial sources.

You will lead engineers skilled in screen scraping, API integrations, and data pipelines, ensuring that ID.me delivers reliable, real-time validation of identity attributes at internet scale.

You'll partner with Product Managers from the Persons and Organizations teams to translate validation contracts into prioritized integration work, and ensure that our attribute validation layer meets strict SLAs for reliability, freshness, and compliance.

Responsibilities

• Lead The Team : Recruit, mentor, and grow a high-performing engineering team specializing in integrations, scraping, and data ops.
• Deliver Integrations : Build and maintain connectors to government registries, telcos, licensing authorities, and commercial data providers.
• Normalization : Standardize and reconcile heterogeneous data formats into clean schemas usable by the Identity Trust Graph.
• Reliability : Monitor, detect, and resolve upstream source changes rapidly; implement retries, fallbacks, and error handling.
• Power The AVS : Add trusted data to the runtime service that validates data in the trust graph by comparing it to sources of record.
• Cross-Functional Collaboration :
• Translate product contracts (from Persons / Orgs teams) into execution.
• Provide fraud signals and validation events to downstream consumers (Wallet, Fraud, Domains).
• Report coverage / freshness metrics to Product Ops & Analytics.
• Compliance & Privacy : Ensure sensitive data is handled in line with NIST, ISO 27001, and FedRAMP standards.

Basic Qualifications

Preferred Qualifications

Key Success Metrics

Why Join ID.me?

This team is the backbone of our Identity Trust Graph. By leading the AVS Data Acquisition & Normalization team, you'll transform messy, fragmented real-world data into trusted validation signals powering Wallet, Fraud prevention, and the SuperApp. Help us build the identity layer for the internet.