Senior Real-Time Data Integration Engineer

Spherecast Technologies Inc.; New York, Northern (NY, KY); Hybrid; USD 130,000 - 180,000; Full time

Job summary

Spherecast Technologies Inc. in New York City seeks a Senior Integration Engineer to own the end-to-end integration layer, connecting legacy ERP systems like NetSuite, FTP, S3, and data warehouses (Snowflake, Databricks, BigQuery) with the Spherecast Platform and Agnes AI.

You’ll build scalable pipelines, ensure data quality, and push for highly observable, fault-tolerant systems across millions of records per customer.

Qualifications

• Hands-on experience with Python backend stack and data pipelines.
• Experience integrating third-party systems: REST/SOAP and APIs (e.g., NetSuite SuiteQL).
• Designing idempotent, resumable pipelines with clean schema boundaries.
• Strong SQL and high-performance queries against large datasets.
• Emphasis on operability: logging, alerting, and auditability.
• Familiarity with AI/ERP integration workflows is a plus.

Responsibilities

• Build, extend, and monitor the integration architecture across ERPs, FTP, S3, and data warehouses.
• Orchestrate execution of syncs with reliability and no constant human monitoring.
• Develop scalable, near-realtime, fault-tolerant integration systems processing millions of records.
• Enable flexible connections to new sources via configuration rather than rebuilds.
• Create round-trip integration tests for read-update-write data lifecycles.
• Validate data and preempt errors to protect business operations.

Skills

Backend stack

NetSuite integrations

REST APIs

SOAP APIs

OAuth

SQL

Data pipeline design

Observability

Code parallelization

CPG domain

Tools

NetSuite

Hatchet

Temporal

AWS

BigQuery

Databricks

Job description

Spherecast Technologies Inc. in New York City seeks a Senior Integration Engineer to own the end-to-end integration layer, connecting legacy ERP systems like NetSuite, FTP, S3, and data warehouses (Snowflake, Databricks, BigQuery) with the Spherecast Platform and Agnes AI.

You’ll build scalable pipelines, ensure data quality, and push for highly observable, fault-tolerant systems across millions of records per customer.