Information Security Engineer

Location: Irving, TX
Salary: $53.00 USD Hourly - $57.00 USD Hourly
Description:
Job Description
Role Overview

We are seeking a Data Engineer to support our Identity and Access Management (IAM) Data Lake initiatives within the Information Security Engineering organization. In this contingent role, you will contribute to medium-complexity engineering efforts, participate in large-scale planning, and help develop secure, scalable data solutions on Google Cloud Platform (Google Cloud Platform).

You will review and analyze technical challenges, recommend solutions, and collaborate with cross-functional partners across Information Security Engineering to meet delivery requirements. This role requires strong technical expertise, problem-solving skills, and the ability to work within established security, compliance, and engineering frameworks.

Location: Irving, TX (Preferred). Dallas, TX or Ohio are acceptable alternatives.
Key Responsibilities

• Design, build, and maintain Data Lake solutions on Google Cloud Platform using modern big data tools and frameworks.
• Develop and optimize data ingestion pipelines (batch and streaming) leveraging Google Cloud Platform-native services.
• Analyze moderately complex information security engineering challenges and propose robust, scalable solutions.
• Implement data processing using PySpark, Airflow, APIs, and CI/CD workflows.
• Support data modeling, schema design, Avro/Parquet/ORC usage, and metadata strategies.
• Apply best practices in access control, bucket structuring, lifecycle management, and secure data architecture.
• Collaborate closely with internal partners to deliver high-quality engineering outcomes in alignment with security policies and compliance requirements.
• Troubleshoot data pipeline issues and contribute to continuous improvement efforts within the IAM Data Lake environment.

Required Qualifications

• 4+ years of experience in Information Security Engineering, Data Engineering, or related technical fields (experience may be through work, consulting, training, military service, or education).
• Proven hands-on expertise with:
  • Google Cloud Platform (4-6 years)
  • PySpark (4-6 years)
  • Data processing frameworks (4-6 years)
  • Airflow (2-4 years)
  • API development (2-4 years)
  • Data pipelines (2-4 years)
  • Hadoop ecosystem / HDFS (2-4 years)
  • Data modeling principles (1-2 years)
  • AVRO and other columnar formats

Preferred Skills & Experience

• Strong understanding of Google Cloud Platform architectural best practices, including:
  • Bucket structure and naming standards
  • Access control models
  • Lifecycle management policies
• Expertise with Parquet, Avro, ORC, and compression strategies.
• Experience building batch and streaming pipelines using Google Cloud Platform services such as Dataflow, Pub/Sub, Cloud Storage, BigQuery, and Composer.
• Knowledge of Pub/Sub-based streaming architecture, including schema management, evolution, and versioning.
• Familiarity with Change Data Capture (CDC) and incremental ingestion techniques.
• Understanding of downstream consumption patterns including APIs, materialized views, and curated analytical datasets.

By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.

Contact:

This job and many more are available through The Judge Group. Please apply with us today!