Staff Software Engineer – Data Acquisition

is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with once and seamlessly login across websites without having to create a new login and verify their identity again. Over 152 million users experience streamlined login and identity verification with at 20 federal agencies, 45 state government agencies, and 70+ healthcare organizations. More than 600+ consumer brands use to verify communities and user segments to honor service and build more authentic relationships. 's technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST IAL2 / AAL2 credential service provider by the Kantara Initiative. is committed to "No Identity Left Behind" to enable all people to have a secure digital identity. To learn more, visit

is seeking a Staff Software Engineer and Tech Lead to join our 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 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.

• 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.
  

• 5+ years of engineering experience, 2+ years as a tech lead.
• 3+ years of experience in data acquisition/integrations (APIs, screen scraping, ETL, normalization).
• Bachelor's degree in Computer Science or related field

• Proven ability to operate high-reliability data pipelines with strict SLAs.
• Experience with cloud-native infrastructure (AWS, GCP, or Azure).
• Familiarity with observability, monitoring, and incident response best practices.
• Knowledge of compliance and security requirements for sensitive data.
• Bonus: Experience at a FinTech, identity, or data aggregation company (Plaid, Yodlee, Envestnet, etc.).

• Attribute coverage and freshness SLA attainment.
• Connector uptime and reliability.
• Validation latency and success rates.
• MTTR (mean time to resolution) for broken integrations.
• Cost efficiency per validation event.
  

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.

The annual base salary listed does not include a company bonus, incentive for sales roles, equity and benefits which will be determined based on experience, skills, education, relevant training, geographic location and role. 

offers comprehensive medical, dental, vision, health savings