Big Data Engineer (Remote, Top Secret Clearance Required)

Navigate Search; Reno (NV); Remote; USD 100,000 - 140,000; Full time

Job summary

A leading cybersecurity and network analytics company offers an exciting Data Engineer role within a fully remote environment. The ideal candidate will be responsible for building data pipelines, optimizing AWS solutions, and ensuring compliance. Joining this innovative team means working on impactful projects while enjoying competitive benefits, including a competitive salary and generous PTO.

Benefits

Competitive salary

401(k) with employer matching

15 days of paid time off (PTO) plus holidays

Qualifications

• 5+ years of experience as a Data Engineer or similar role.
• Experience with AWS services like S3, Glue, and EMR.
• Knowledge of real-time streaming technologies.

Responsibilities

• Design and maintain scalable data pipelines using Spark and Python.
• Architect data lakehouse and warehouse solutions on AWS.
• Implement data governance and compliance best practices.

Skills

Python

PySpark

SQL

Data Modeling

ETL Frameworks

Cybersecurity Knowledge

Tools

AWS

Docker

Terraform

CloudFormation

Job description

We are a cloud-native cybersecurity and network analytics company based in Atlanta, GA, focused on providing cutting-edge security insights through advanced data engineering. Our team is composed of experts in big data, cloud infrastructure, and cybersecurity, helping organizations make data-driven security decisions. With a fully remote, highly collaborative environment, we empower our engineers to innovate and solve complex challenges in cloud-scale cybersecurity analytics.

Top Secret Clearance Required

Must live near the DC area or willing to move some where close to that area

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL processes using Spark (PySpark) and Python.
• Architect and optimize data lakehouse and data warehouse solutions on AWS.
• AWS Big Data System Experience Required
• Implement data governance, quality, and observability best practices.
• Optimize performance of high-volume data processing systems.
• Work closely with security teams to ensure compliance with cybersecurity regulations. Requirements
• 5+ years of experience as a Data Engineer, Full Stack Data Engineer, or similar role.
• Strong expertise in Python, PySpark / Spark, and SQL.
• Hands-on experience with AWS services like S3, Glue, Athena, EMR, Redshift, Lambda.
• Experience with real-time streaming (Kafka, Kinesis, etc.).
• Knowledge of data modeling, ETL frameworks, and performance tuning.
• Familiarity with CI / CD, containerization (Docker), and infrastructure-as-code (Terraform, CloudFormation).
• Cybersecurity domain knowledge is a big plus.
• U.S. citizenship is required and any Top Secret Security Clearance

Why Join Us?

• Fully remote with a modern, cloud-native environment.
• Work on high-impact cybersecurity and network analytics projects.
• Competitive salary and 401(k) with employer matching.
• 15 days of paid time off (PTO) plus holidays.