Data Engineering with IOT (Internet of Things)

Role : Data Engineering with IOT (Internet of Things)

Duration : Long Term Contract

Location : CHICAGO IL Hybrid

JOB DESCRIPTION:

"Key Responsibilities

1. Data Engineering & Development

o Build and maintain robust data pipelines for ingesting, processing, and storing telematics data from IoT devices and third-party aggregators.

o Develop efficient ETL processes to ensure high-quality data integration into analytics platforms.

o Write clean, reusable, and optimized code to handle large-scale datasets.

2. Data Analysis & Insights

o Analyze telematics datasets to uncover patterns, trends, and actionable insights related to commercial auto lines, fleet performance, and driver behavior.

o Collaborate with data scientists to develop predictive models and risk assessment tools.

o Present insights to stakeholders through visualizations and reports using tools like Tableau or Power BI.

3. Thought Leadership

o Provide expertise on best practices in telematics data utilization for the commercial auto line industry.

o Stay ahead of emerging trends in IoT and telematics to recommend innovative solutions.

o Act as a subject matter expert in discussions on telematics data integration and application.

4. IoT Integration & Data Aggregation

o Work with IoT devices and communication protocols to ingest real-time telematics data (e.g., GPS, accelerometers, fuel sensors).

o Integrate data from multiple sources, including third-party aggregators, into centralized platforms for seamless analysis.

o Evaluate data aggregator offerings to ensure accuracy, reliability, and alignment with business needs.

5. Collaboration & Stakeholder Engagement

o Partner with underwriting, claims, and fleet management teams to address business challenges using telematics data.

o Collaborate with architects and analysts to align engineering solutions with organizational objectives.

o Support ad-hoc data requests and provide technical expertise to enhance decision-making.

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Qualifications & Skills

Education

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

Experience

• 5 years of experience in data engineering, with at least 2 years focused on telematics or IoT.

• Proven track record in the commercial auto line or fleet management domain is highly desirable.

Technical Skills

• Strong programming skills in Python, SQL, and Scala (or equivalent languages).

• Experience with data pipeline tools such as Apache Kafka, Apache Spark, or Airflow.

• Proficiency with cloud platforms (AWS, Azure, or GCP), including IoT-related services (e.g., AWS IoT Core, Azure IoT Hub).

• Knowledge of databases, including relational (e.g., PostgreSQL) and time-series databases (e.g., TimescaleDB).

• Familiarity with IoT protocols like MQTT, CAN bus, or CoAP.

Analytical & Business Skills

• Strong problem-solving and analytical skills for interpreting large datasets.

• Experience with visualization tools like Tableau or Power BI

• Understanding of data governance, security, and compliance standards in telematics.

Soft Skills

• Excellent communication and presentation skills for technical and non-technical stakeholders.

• Demonstrated ability to provide thought leadership and guide strategic decisions.

• Proactive, self-driven, and eager to learn new technologies and methodologies.

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Preferred Qualifications

• Experience in machine learning or predictive modeling for telematics data.

• Understanding of insurance risk assessment and fleet management operations.

• Certification in cloud platforms (e.g., AWS Certified Data Analytics, Azure Data Engineer)."