Senior Data Engineer - Cybersecurity Data Platform

Sigma Software; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Sigma Software is seeking a Senior Data Engineer to join a high-impact cybersecurity project focused on scalable data infrastructure. You will own data pipelines, optimize performance, and modernize legacy systems within autonomous teams.

You will work with Snowflake, DBT, SQL, Python, Elastic Stack, and Airflow to build reliable analytics and security insights at scale. Strong English communication and collaboration across international teams are essential.

Qualifications

• 5+ years of commercial experience in Data Engineering.
• Expert-level Python and SQL skills with performance optimization.
• Strong DBT experience for transformation and modeling.
• Hands-on Snowflake and Elastic Stack experience.
• Airflow for workflow orchestration and large-scale pipelines.
• Excellent problem-solving and independent work style.
• Upper-Intermediate English or higher.

Responsibilities

• Maintain and enhance data processes for reliability, scalability, and performance.
• Analyze and understand data models, workflows, tables, and jobs.
• Identify bottlenecks and opportunities for architectural improvements.
• Design, optimize, and support large-scale data pipelines and transformations.
• Drive modernization across the data platform and contribute to evolution.
• Optimize complex SQL queries to reduce latency and improve efficiency.
• Collaborate with product engineering and cross-functional teams.
• Contribute to short-term and long-term platform development initiatives.
• Adhere to best practices in data engineering and system reliability.

Skills

Python

SQL

DBT

Snowflake

Elastic Stack

Airflow

Data modeling

Data pipelines

Optimization

Problem solving

Independent work

English communication

Tools

DBT

Snowflake tooling

Elastic Stack

Airflow

Job description

Sigma Software is seeking a Senior Data Engineer to join a high-impact cybersecurity project focused on scalable data infrastructure. You will own data pipelines, optimize performance, and modernize legacy systems within autonomous teams.

You will work with Snowflake, DBT, SQL, Python, Elastic Stack, and Airflow to build reliable analytics and security insights at scale. Strong English communication and collaboration across international teams are essential.