Senior Data Integration Engineer

Clera; United States; A distancia; USD 140.000 - 180.000; Jornada completa

Descripción de la vacante

Clera Labs, Inc. is seeking a data integration engineer to own ingestion pipelines for device telemetry, carrier milestones, and customer data. You will map and normalize data across shipments and telemetry models, with emphasis on validation and data quality.

The role emphasizes proactive monitoring, alerts, and reusable, configuration-driven integrations for partner and internal teams. With 5+ years in production data pipelines or backend systems, you will leverage Python and familiarity with

Formación

• 5+ years of experience building production data pipelines or backend data systems.
• Strong Python skills and familiarity with TypeScript or Node.js, or the ability to ramp up quickly.
• Proficiency with SQL, data modeling, batch and incremental ETL/ELT, schema mapping, and data quality practices.
• Experience integrating external APIs, including rate limits, retries, and pagination, as well as operating cloud services on Azure or AWS.
• Hands-on experience with testing, CI/CD, monitoring, and observability for production systems.
• Experience with IoT, telemetry, logistics, regulated data, event-driven systems, or data processing tools such as Spark is a plus.

Responsabilidades

• Build and operate ingestion pipelines for device telemetry, carrier milestones, and customer order data using APIs, webhooks, polling, files, and queues.
• Map and normalize source data into shared shipment and telemetry models, with validation and quality checks throughout the pipeline.
• Monitor pipeline health, build alerts and dashboards, and handle replays or backfills when data is late or incorrect.
• Use partner API specifications and sample data to deliver new integrations.
• Turn one-off integrations into reusable, configuration-driven pipelines.

Conocimientos

Python

TypeScript/Node.js

SQL

Data modeling

ETL/ELT

Data quality

Testing

CI/CD

Observability

IoT/telemetry/logistics

Herramientas

Azure

AWS

Spark

Descripción del empleo

About the Role

Join a small engineering team at a growth-stage logistics software company focused on shipment visibility and risk management for temperature-sensitive goods. You will own the integrations that turn data from devices, carriers, and customer systems into reliable information teams can act on.

What You'll Do

• Build and operate ingestion pipelines for device telemetry, carrier milestones, and customer order data using APIs, webhooks, polling, files, and queues.

• Map and normalize source data into shared shipment and telemetry models, with validation and quality checks throughout the pipeline.

• Monitor pipeline health, build alerts and dashboards, and handle replays or backfills when data is late or incorrect.

• Use partner API specifications and sample data to deliver new integrations.

• Turn one-off integrations into reusable, configuration-driven pipelines.

What We're Looking For

• At least 5 years of experience building production data pipelines or backend data systems, with ownership of external integrations from ingestion through monitoring and support.

• Strong Python skills and familiarity with TypeScript or Node.js, or the ability to ramp up quickly.

• Proficiency with SQL, data modeling, batch and incremental ETL/ELT, schema mapping, and data quality practices.

• Experience integrating external APIs, including rate limits, retries, and pagination, as well as operating cloud services on Azure or AWS.

• Hands-on experience with testing, CI/CD, monitoring, and observability for production systems.

• Experience with IoT, telemetry, logistics, regulated data, event-driven systems, or data processing tools such as Spark is a plus.

Compensation & Benefits

Base salary is $140,000 to $180,000 annually, with equity and a cash bonus. Visa sponsorship is available.

Location

Remote within the United States.