> Markdown version of [/jobs/ext/4413749-integration-engineer](https://www.wearedevelopers.com/jobs/ext/4413749-integration-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Integration Engineer - **Company:** ONE STOP COLLECTIBLE CORP - **Location:** New York, NY, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, BigQuery, Data Loss, Data Warehousing, Python (Programming Language), OAuth, Operational Databases, Simple Object Access Protocol (SOAP), SQLAlchemy, Systems Integration, Unstructured Data, Data Logging, Sql Optimization, Snowflake, Fastapi, Pagination, Databricks - **Published:** October 11, 2026 - **Apply:** https://startup.jobs/senior-integration-engineer-clera-10376508 ## About the Role * At least 3 years of experience shipping production data pipelines and integrations in Python. * Hands-on experience with FastAPI, SQLAlchemy, and Pydantic. * Strong experience integrating third-party systems through REST, SOAP, and query-language APIs, including OAuth, pagination, rate limits, and credential management. * Advanced SQL skills, including high-performance queries and bulk upserts at large scale. * Experience designing idempotent, auditable pipelines with fetch, validate, normalize, and upsert workflows. * Experience with data warehouses such as Snowflake, Databricks, or BigQuery, and background task orchestration tools such as Temporal or similar. * Experience building safe write paths with dry runs, failure capture, and auditability, as well as operational logging and alerting. * Experience with unstructured data, AWS, or legacy ERP integrations is helpful. ## Description * Build and maintain integrations with ERPs, data warehouses, object storage, FTP sources, and custom systems. * Design reliable, near-real-time syncs that handle millions of records per customer. * Investigate external API behavior and build connectors that work with real-world data and undocumented quirks. * Write round-trip tests to verify read, update, and write workflows and prevent data loss. * Validate and reconcile data early, before errors can affect customer operations. * Build monitoring, structured logging, sync tracking, and alerts to identify and triage failures. * Work with customer operators and IT teams to scope, deliver, and operate integrations end to end. * Improve the integration layer so new data sources can be added through configuration where possible.