Staff Software Engineer – Data Acquisition & Normalization at ID.me

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

260000.0

Posted On

03 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Acquisition, API Integrations, Screen Scraping, ETL, Normalization, Cloud-native Infrastructure, Observability, Monitoring, Incident Response, Compliance, Security, Fraud Prevention, Data Pipelines, Error Handling, Data Validation, Technical Leadership

Industry

Software Development

Description

Company Overview 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 152 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 45 state government agencies, and 70+ 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. To learn more, visit https://network.id.me/. About the Role ID.me 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 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 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 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 Preferred Qualifications 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.). Key Success Metrics 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. 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. 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. ID.me offers comprehensive medical, dental, vision, health savings account, flexible spending accounts (medical, limited purpose, dependent care, commuter benefit accounts), basic and voluntary life and AD&D insurance, 401(k) with company match, parental leave, ability to participate in unlimited paid time off subject to the terms and conditions of the PTO policy, including 8 company wide holidays, short and long-term disability insurance, accident and critical illness insurance, referral bonus policy, employee assistance program, pet insurance, travel assistant program, wellbeing and childcare discounts, benefit advocates, and a learning and development benefit. The above represents the anticipated total rewards package for this job requisition. Final offers may vary from the amount listed based on qualifications, professional experiences, skills, education, relevant training, geographic location, and other job related factors. Mountain View, CA Pay Range $217,565—$260,000 USD ID.me is a full-time, in-office culture. Unless a specific job description explicitly states otherwise, all roles are on-site five days per week at one of our offices in McLean, VA; Mountain View, CA; New York City, NY; or Tampa, FL. Certain roles — such as field-based sales or other remote-by-design positions — may have different work arrangements as noted in their individual postings. ID.me maintains a work environment free from discrimination, where employees are treated with dignity and respect. All ID.me employees share in the responsibility for fulfilling our commitment to equal employment opportunity. ID.me does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. ID.me adheres to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, ID.me's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations. Please review our Privacy Policy, including our CCPA policy, at id.me/privacy. If you provide ID.me with any personally identifiable information you confirm that you have read and agree to be bound by the terms and conditions set out in our Privacy Policy. ID.me participates in E-Verify.

Responsibilities

Lead the Data Acquisition & Normalization team to build and maintain integrations for identity verification. Ensure reliable, real-time validation of identity attributes from various sources.