Specialty Software Engineer

Location: Phoenix, AZ
Salary: $81.00 USD Hourly - $87.00 USD Hourly
Description:
Job Title: Lead Cloud Data Platform Engineer (Contingent Resource Assignment)
Location Options: Phoenix, AZ | Dallas, TX | Charlotte, NC | Philadelphia, PA

About the Role
We're seeking a Lead Cloud Data Platform Engineer to join a high-performing team focused on building a modern hybrid data platform from the ground up. This role is part of a contingent resource assignment supporting strategic initiatives in Specialty Software Engineering. You'll work on complex, large-scale challenges that require deep technical expertise, innovative thinking, and cross-functional collaboration.

If you're passionate about data, excited by the opportunity to shape the future of analytics, and thrive in fast-paced environments, we want to hear from you.

Key Responsibilities
As a Lead Cloud Data Platform Engineer, you will:

• Design and implement scalable, secure, and automated data pipelines on Google Cloud Platform (Google Cloud Platform).
• Enable self-service data capabilities for ingestion, transformation, and distribution across big data applications.
• Automate data governance and observability using AI/agentic frameworks.
• Collaborate with principal engineers, product managers, and data engineers to deliver high-impact data solutions.
• Lead the migration of on-premises systems to a hybrid cloud environment (Google Cloud + Azure).
• Develop reusable processes and tools that support analytics products and business decision-making.
• Drive innovation by adopting and evangelizing new technologies and frameworks.

Minimum Qualifications

• 5+ years of experience in Specialty Software Engineering or equivalent (consulting, military, education).
• 5+ years of hands-on experience in data engineering using Hadoop, Spark, Kafka, and Google Cloud data tools.
• 3+ years of experience with data lakehouse architecture, including Python, PySpark, Apache Kafka, Airflow, SQL, BigQuery, Cloud Storage, DataProc, and Cloud Composer.
• 2+ years of experience with NoSQL databases (e.g., columnar, graph, document, key-value stores).
• Cloud certifications such as Google Cloud Platform Professional Data Engineer, Azure Data Engineer, or AWS Specialty Data Analytics.

Preferred Qualifications

• Proven experience with cloud migration from on-prem to cloud-native environments.
• Deep knowledge of the Hadoop ecosystem (Hive, HDFS, Parquet, Iceberg, Delta Tables).
• Expertise in data warehouse and cloud architecture, pipeline orchestration, and governance automation.
• Familiarity with GenAI frameworks (e.g., LangChain, LangGraph) for agent-based data capabilities.
• Experience with DevOps and CI/CD tools (Git, Jenkins, Docker, Kubernetes).
• Bonus: Web UI development experience using React and Node.js.

Why Join Us?

• Be part of a team that's redefining data engineering and analytics in cybersecurity.
• Work on cutting-edge technologies in a collaborative, agile environment.
• Make a visible impact by contributing to strategic data initiatives.

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Contact:

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