Remote Real-Time Data Engineer for Cybersecurity

Dune Security; New York (NY); Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

Competitive compensation package

Equity

Comprehensive benefits

Job summary

A cybersecurity startup in New York seeks a Data Engineer to develop secure data infrastructure for real-time analytics. The role involves designing ETL/ELT pipelines, optimizing cloud storage solutions, and collaborating with engineering teams. Ideal candidates have a BS in Computer Science and 3–6 years of relevant experience, with proficiency in Python, Go, and SQL. Strong understanding of data security practices is required. The company offers competitive compensation and a vibrant work environment.

Qualifications

• 3–6 years of experience in data engineering or backend engineering.
• Hands-on experience with data orchestration tools like Airflow.
• Strong understanding of data governance and compliance best practices.

Responsibilities

• Design and implement robust ETL/ELT pipelines for data.
• Develop cloud-based data lakes and warehouses for telemetry.
• Ensure data reliability and compliance with regulations.

Skills

Python

Go

SQL

Cloud technologies

Data orchestration

Data security

Education

BS degree in Computer Science or Engineering

Tools

Airflow

Snowflake

Delta Lake

Databricks

Job description

A cybersecurity startup in New York seeks a Data Engineer to develop secure data infrastructure for real-time analytics. The role involves designing ETL/ELT pipelines, optimizing cloud storage solutions, and collaborating with engineering teams. Ideal candidates have a BS in Computer Science and 3–6 years of relevant experience, with proficiency in Python, Go, and SQL. Strong understanding of data security practices is required. The company offers competitive compensation and a vibrant work environment.