Data Engineer at Honeycomb Insurance

Tel Aviv-Yafo, Tel Aviv District, Israel

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

InsuranceIndustries

Requirements

4+ years of experience as a Data Engineer from a SaaS company
Experience in pipeline design and data architecture
Proficiency with ETL tools and data pipeline technologies (e.g., Apache Airflow, Prefect, Dagster)

Responsibilities

Architecture Design: Design and implement information architecture to support stakeholder needs (Finance, RevOps, AI, and BI data needs)
Data Extraction: Extract, transform, and load (ETL) raw data into the correct databases for use by the platform
Data Quality & Validation: Implement checks and alerts to ensure data consistency, completeness, and accuracy across systems
Documentation & Best Practices: Participate in defining and maintaining internal standards, pipeline documentation, and data lineage tracking
Performance Optimization: Identify opportunities to improve pipeline efficiency and reduce latency in data delivery

Skills

Key technologies and capabilities for this role

ETLData ArchitectureData PipelinesCloud InfrastructureData QualityData ValidationDatabases

Questions & Answers

Common questions about this position

What experience is required for the Data Engineer role?

Candidates need 4+ years of experience as a Data Engineer from a SaaS company, along with experience in pipeline design and data architecture, and proficiency with ETL tools and data pipeline technologies such as Apache Airflow, Prefect, or Dagster.

What are the main responsibilities of this Data Engineer position?

Responsibilities include designing information architecture for stakeholder needs, performing ETL on raw data, implementing data quality checks and alerts, documenting standards and data lineage, and optimizing pipeline performance.

Is this Data Engineer role remote or office-based?

This information is not specified in the job description.

What is the salary or compensation for this position?

This information is not specified in the job description.

What makes a strong candidate for this Data Engineer role?

A strong candidate has 4+ years in a SaaS environment with hands-on experience in pipeline design, data architecture, and ETL tools like Airflow; nice-to-haves include NoSQL databases, data warehousing, event streaming like Kafka, or analytics engineering.

Honeycomb Insurance

Real estate insurance for property owners

About Honeycomb Insurance

Honeycomb Insurance simplifies real estate insurance for condo associations, homeowners associations (HOAs), building owners, property managers, and developers. The company provides instant quotes and cost savings of up to 40% by using advanced technology and expert advice. Unlike competitors, Honeycomb focuses on a people-centered, tech-driven approach that streamlines the insurance process. Its goal is to make real estate insurance more efficient and accessible for a diverse range of clients.

Chicago, IllinoisHeadquarters

2019Year Founded

$53.2MTotal Funding

SERIES_BCompany Stage

AI & Machine Learning, Financial ServicesIndustries

51-200Employees