Senior Integration Engineer

Clera

New York, NY

Remote

Who this role is best for

Aimed at mid-to-senior level engineers who build and maintain complex data integration systems.

Best fit for

Individuals with a background in designing idempotent pipelines and ensuring data integrity
— “Experience designing idempotent, re-runnable pipelines with clear validation and schema boundaries.”
Candidates familiar with data warehouses and task orchestration frameworks for scalable syncs
— “Experience with a data warehouse such as Snowflake, Databricks, or BigQuery, and a background task orchestration framework.”

Things to consider

On-site requirement in New York may pose a challenge for remote-only candidates.
— “On-site in New York, United States.”
The role demands significant responsibility in data synchronization and system reliability.
— “Design reliable, near-real-time syncs that process large volumes of customer data without manual intervention.”

How to stand out

Emphasize experience with handling external API quirks and ensuring secure write paths.
— “Develop connectors that account for external API behavior, authentication, rate limits, pagination, and undocumented quirks.”
Showcase a history of validating and reconciling data with monitoring and alerting systems.
— “Validate and reconcile data, and build monitoring and alerting to identify and triage failures.”
Highlight your ability to deliver and manage integration operations for enterprise customers.
— “Work directly with customer operators and IT teams, owning integration scoping, delivery, and ongoing operations.”
Demonstrate your capacity to build high-performance SQL queries and bulk upserts at scale.
— “Advanced SQL skills, including high-performance queries and bulk upserts at scale.”
Showcase your experience with Python data pipelines and integration frameworks.
— “At least 3 years of production experience building Python data pipelines and integrations.”

Pace · Fast PacedCollaboration · MediumAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

successful integration deployment
reliable data syncs
positive customer feedback

Typical background

software engineeringdata engineeringintegration engineering

Skills & requirements

Required

PythonFastapiSqlalchemyPydanticAPI DesignData WarehousingIntegration Design

Preferred

AWSNetsuiteLegacy ERP

Stack & domain

PythonFastapiSqlalchemyPydanticRESTSOAPSQLSnowflakeDatabricksBigQueryNetsuiteAWSLegacy ERP

About the role

Original posting from Clera via Ashby

ABOUT THE ROLE
Join an early-stage AI supply chain software team building reliable connections between its platform and customers' operational systems. You'll own integrations that bring customer data into the platform and safely write decisions back to systems of record.
WHAT YOU'LL DO
Build and maintain integrations with ERPs, data warehouses, object storage, FTP sources, and custom systems.
Design reliable, near-real-time syncs that process large volumes of customer data without manual intervention.
Develop connectors that account for external API behavior, authentication, rate limits, pagination, and undocumented quirks.
Test complete read, update, and write workflows to prevent data loss.
Validate and reconcile data, and build monitoring and alerting to identify and triage failures.
Work directly with customer operators and IT teams, owning integration scoping, delivery, and ongoing operations.
Improve the integration layer so new data sources can be connected through configuration where practical.
WHAT WE'RE LOOKING FOR
At least 3 years of production experience building Python data pipelines and integrations.
Hands-on experience with Python, FastAPI, SQLAlchemy, Pydantic, and third-party REST, SOAP, or query-language APIs.
Advanced SQL skills, including high-performance queries and bulk upserts at scale.
Experience designing idempotent, re-runnable pipelines with clear validation and schema boundaries.
Experience with safe write paths, dry runs, audit trails, structured logging, sync tracking, and alerting.
Experience with a data warehouse such as Snowflake, Databricks, or BigQuery, and a background task orchestration framework.
Comfort working directly with customers and owning integration operations. NetSuite, AWS, legacy ERP, and unstructured data experience are helpful.
COMPENSATION & BENEFITS
Visa sponsorship is available.
LOCATION
On-site in New York, United States.

Source: Clera careers (Ashby)