# Software Development Engineer - Data Acquisition & Normailization
**Company:** [Idme](https://hotfix.jobs/companies/idme)
**Location:** Mountain View, CA
**Salary:** $169K-$193K
**Experience:** 4+ years
**Skills:** Java, Python, Go, JavaScript, TypeScript, Docker, Kubernetes, GCP, ETL, APIs, Kafka, Oauth2, OIDC, Jwt, AWS
**Posted:** 2026-04-13
> Builds and maintains data connectors, pipelines, and normalization services to acquire and validate identity attributes from various sources for the Identity Trust Graph. Requires 4+ years in OOP languages, containerized cloud systems like GCP/Kubernetes, and data integration experience.
## Job Description
## Key Responsibilities

- Build and maintain connectors to government registries, telcos, licensing authorities, and commercial data providers.
- Standardize and reconcile heterogeneous data formats into clean schemas usable by the Identity Trust Graph.
- Monitor and help resolve upstream source changes; contribute to retries, fallbacks, and error handling to improve pipeline reliability.
- Contribute to the Attribute Validation Service (AVS) by adding trusted data that validates identity attributes against sources of record.
- Help deliver clean and validated attribute data to downstream consumers including Wallet, Fraud, and Domains.
- Assist in reporting coverage and freshness metrics to Product, Ops, and Analytics stakeholders.
- Handle sensitive data in accordance with NIST, ISO 27001, and FedRAMP standards.
- Write high-quality, maintainable, and well-tested code, including automated tests and observability instrumentation.
- Participate in system design discussions, code reviews, and technical documentation to support team alignment.

## Required Qualifications

- Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience).
- 4+ years of experience developing web applications using OOP languages such as Java, Ruby, JavaScript, TypeScript, Go, Python, Rust, or C++.
- Exposure to data acquisition or integration work, including APIs, screen scraping, ETL, or normalization pipelines.
- Experience building systems in **Docker**, **Kubernetes** or Nomad and services in a containerized, cloud-based, infrastructure-as-code driven ecosystem such as **GCP**.
- Ability to deliver features end to end, including automated test coverage, observability, monitoring, and documentation.
- Ability to communicate technical tradeoffs clearly and work collaboratively within a team.
- Proficiency and strong interest in AI-assisted development tools (e.g., Claude Code or Codex) to accelerate delivery and code quality.

## Preferred Qualifications

- Familiarity with operating data pipelines with reliability and SLA requirements.
- Understanding of distributed systems concepts, caching, asynchronous processing, and cloud-native patterns.
- Exposure to authentication and authorization standards (**OAuth2**, **OIDC**, **JWT**, or custom schemes).
- Familiarity with identity and credential verification systems, including data validation, proofing, or trust scoring.
- Exposure to event-driven architectures (**Kafka**, **SNS/SQS**) and patterns for decoupled service communication.
- Experience with cloud infrastructure (**AWS**, **GCP**, or **Azure**), including containerization and deployment pipelines.
- Familiarity with observability, monitoring, and incident response best practices.
- Awareness of compliance and security requirements for sensitive data (**NIST**, **FedRAMP**, **ISO 27001**).
- Bonus: Exposure to FinTech, identity, or data aggregation companies (e.g., Plaid, Yodlee, Envestnet).
**Apply:** https://hotfix.jobs/jobs/software-development-engineer-data-acquisition-normailization-at-idme-00b12f89-97d8-45ee-a180-cd19438ea168
**Canonical:** https://hotfix.jobs/jobs/software-development-engineer-data-acquisition-normailization-at-idme-00b12f89-97d8-45ee-a180-cd19438ea168