Data Engineer

Posted 5 Days Ago
Be an Early Applicant
2 Locations
In-Office
Mid level
Internet of Things • Software
Accelerate and innovate your IoT program with Aeris
The Role
The role involves building and maintaining an enterprise data lake, designing ETL pipelines, developing ML models, and creating AI agents using LLM APIs.
Summary Generated by Built In

About Aeris Communications Inc.
For more than three decades, Aeris has been a trusted cellular IoT leader enabling the biggest IoT programs and opportunities across Automotive, Utilities and Energy, Fleet Management and Logistics, Medical Devices, and Manufacturing. Our IoT technology expertise serves a global ecosystem of 7,000 enterprise customers and 30 mobile network operator partners, and 90 million IoT devices across the world. Aeris powers today’s connected smart world with innovative technologies and borderless connectivity that simplify management, enhance security, optimize performance, and drive growth.

Experience: 4+ Years

 

Role Summary

Build and maintain the enterprise data lake, design ETL pipelines, develop ML models for forecasting, and create AI agents/MCP integrations using LLM APIs.

 

Required Skills:

- Python ETL — Pandas, NumPy, data modelling, API integrations

- SQL — Complex queries, schema design, performance tuning

- GCP — BigQuery, Cloud Storage, CloudRun, Secret Manager

- Data Lake Design — Ingestion from ERP/CRM systems (NetSuite, Salesforce), schema evolution, data quality

- REST API — Development and consumption (OAuth, webhooks)

- Git & CI/CD — Version control and deployment basics

 

Preferred Skills:

- AI Agent Development — Tool-calling agents, MCP servers, LLM APIs (Claude, Gemini, OpenAI)

- Machine Learning — Time series forecasting, predictive modelling (Prophet, XGBoost, SARIMAX)

- BI Tools — Qlik or Looker

- Orchestration — Cloud Scheduler, Airflow, or cron-based job pipelines

 

Key Responsibilities:

1. Build and maintain data lake on BigQuery — ingestion, transformation, scheduling

2. Design and implement ETL pipelines (Python) across banking, ERP, and CRM sources

3. Experiment with and deploy ML models for cash forecasting and business predictions

4. Develop AI agents and MCP tool integrations using LLM APIs

5. Ensure data quality, monitoring, and alerting across pipelines

 

Skills Required

  • 4+ years experience in data engineering or AI/ML roles
  • Proficient in Python for ETL and data manipulation
  • Strong SQL skills for complex queries and schema design
  • Experience with GCP services including BigQuery and Cloud Storage
  • Knowledge of REST API development and consumption
  • Familiarity with version control using Git
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The Company
HQ: Chicago, IL
466 Employees
Year Founded: 1992

What We Do

For more than three decades, Aeris has been a trusted cellular IoT leader enabling the biggest IoT programs and opportunities across Automotive, Utilities and Energy, Fleet Management and Logistics, Medical Devices, and Manufacturing. Our IoT technology expertise serves a global ecosystem of 7,000 enterprise customers and 30 mobile network operator partners, and 80 million IoT devices across the world. Aeris powers today’s connected smart world with innovative technologies and borderless connectivity that simplify management, enhance security, optimize performance, and drive growth. To learn how Aeris IoT Accelerator Platform, Aeris IoT Watchtower and Aeris Mobility Suite can secure and supercharge your critical IoT programs, visit aeris.com

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