Senior Integration Engineer

Spherecast
New York
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Operability","Monitoring and alerting","Problem-solving","Attention to reliability","Cross-system integration mindset"]

Own the integration layer end to end for an AI-native consumer goods supply chain platform, connecting Spherecast to legacy ERPs like NetSuite and data systems including FTP, S3, Snowflake, Databricks, and BigQuery. Build reliable, near real-time, fault-tolerant syncs with scheduling, monitoring, and round-trip integration tests. Design robust connectors, pipeline idempotency, and safe write paths that push AI-approved actions back into systems of record with strong auditability.

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FursaFursa
Spherecast
Spherecast
1 day ago

Senior Integration Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Own the integration layer end to end for an AI-native consumer goods supply chain platform, connecting Spherecast to legacy ERPs like NetSuite and data systems including FTP, S3, Snowflake, Databricks, and BigQuery. Build reliable, near real-time, fault-tolerant syncs with scheduling, monitoring, and round-trip integration tests. Design robust connectors, pipeline idempotency, and safe write paths that push AI-approved actions back into systems of record with strong auditability.
Location: New York
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Build, extend, maintain, and monitor integration architecture across legacy ERPs (e.g., NetSuite), FTP/S3, data warehouses (Snowflake, Databricks, BigQuery), and custom sheets.
  • •Orchestrate and schedule sync execution so transfers run reliably without manual oversight.
  • •Create scalable near real-time, fault-tolerant systems capable of handling millions of records per customer.
  • •Design connector flexibility so connecting new sources is configuration-driven rather than rebuilds.
  • •Write round-trip integration tests and validate read-update-write lifecycles to prevent data loss and detect likely data errors early.

Key Requirements

  • •Hands-on experience with backend stack including Python, FastAPI, SQLAlchemy, and Pydantic, shipping production data pipelines and integrations.
  • •Deep experience integrating third-party systems using REST/SOAP and query-language APIs (e.g., NetSuite SuiteQL), including OAuth/credential management, pagination, and rate limits.
  • •Strong pipeline design skills (fetch, validate, normalize, upsert) with idempotent, re-runnable syncs and clear schema boundaries.
  • •Proficiency in SQL and writing high-performance queries and bulk upserts at very large data volumes.
  • •Experience building integration write paths with safety rails like dry runs, failure capture, auditability, and operational monitoring (e.g., PagerDuty).
Experience:SaaSIntegrationsData pipelinesEnterprise softwareSupply chainERP systems
Skills:OperabilityMonitoring and alertingProblem-solvingAttention to reliabilityCross-system integration mindset
Tech Stack:PythonFastAPISQLAlchemyPydanticSQLRESTSOAPNetSuiteSuiteQLOAuthPaginationS3SnowflakeDatabricksBigQueryFTPPagerDutyClaude CodeCodexOpenCode

Company Brief

Spherecast
Builds an AI-driven platform for creating and deploying realistic virtual humans and live avatars for streaming, broadcasts, and virtual events, enabling real-time presenter substitution and interactive on-screen hosts using machine learning and computer vision.
Industry: Digital Media
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
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