Senior Data Engineer

Posted 18 Days Ago
Be an Early Applicant
Tel Aviv
Senior level
Artificial Intelligence • Insurance • Machine Learning • Real Estate
The Role
The Senior Data Engineer will architect and build data workflows and infrastructure, with responsibilities including designing information architecture, developing data pipelines, and performing ETL processes to ensure data integrity and availability for various stakeholders.
Summary Generated by Built In

Honeycomb is a rapidly expanding, well-funded startup committed to setting the benchmark for excellence in the insureTech industry. Our foundation is built on cutting-edge technology, but our greatest asset is our exceptional team of professionals. By seamlessly integrating AI, state-of-the-art technology, and profound human expertise, each engineer at Honeycomb plays a pivotal role in shaping our trajectory.

Join us and experience the tremendous impact you can make!

Job Description:

We are seeking an experienced  Data Engineer to help architect and build data workflows and infrastructure. You will play a critical role in shaping the information architecture that will serve as the foundation for our platform, AI models, and BI reports. The role will involve extracting raw data from vendor responses in real time and transforming it into valuable information stored in the appropriate databases.

Responsibilities:

  • Information Architecture Design: Design and implement information architecture to support platform, AI, and BI data needs.
  • Pipeline Workflow Design: Develop and maintain robust data pipelines for ingesting, processing, and storing vendor data.
  • Data Extraction: Extract, transform, and load (ETL) raw vendor data into the correct databases for use by the platform and AI models.
  • Data Analysis: Utilise data analysis tools and techniques to ensure data integrity, quality, and availability for various stakeholders.

Requirements:

  • Proven experience in data acquisition, pipeline design, and data architecture.
  • Proficiency with ETL tools and data pipeline technologies
    (e.g., Apache Airflow, Prefect, Dagster).
  • Strong knowledge of databases (SQL, NoSQL) and data storage solutions.
  • Experience with cloud platforms (AWS, GCP, Azure) for data infrastructure.
  • Strong problem-solving skills with a focus on data optimization and performance. 
  • Proficiency in Python, Node.js, or similar languages. 

Nice to Have:

  • Experience working with data from external vendors or APIs.
  • Proficiency in data analysis tools and frameworks (e.g., Pandas, SQL, BI tools).
  • Familiarity with AI and machine learning data workflows.

Top Skills

Node.js
Python
The Company
Chicago, Illinois
70 Employees
On-site Workplace
Year Founded: 2019

What We Do

Honeycomb was built to disrupt the real estate insurance industry. Using Artificial Intelligence and computer vision, we offer apartment buildings, condominium associations and single-family rental dwellings perfectly customized policies at unbeatable rates. Our digitally-native platform makes purchasing insurance an easy and transparent process for property owners, property managers associations directors, and retail agents.

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