Specialty Software Engineer

Irving, TX, US • Posted 5 hours ago • Updated 5 hours ago
Contract Independent
On-site
USD $81.00 - 87.00 per hour
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Job Details

Skills

  • Information Architecture
  • Impact Analysis
  • Information Assurance
  • Jersey
  • Analytics
  • Use Cases
  • Data Management
  • Meta-data Management
  • Workflow
  • Collaboration
  • Roadmaps
  • IT Management
  • Mentorship
  • Migration
  • Regulatory Compliance
  • Military
  • Training
  • Python
  • Storage
  • Data Processing
  • LangChain
  • Microsoft Certified Professional
  • Prompt Engineering
  • Apache Kafka
  • Apache Flink
  • Apache Spark
  • Streaming
  • Google Cloud Platform
  • Google Cloud
  • Microsoft Azure
  • Amazon Web Services
  • Data Analysis
  • UI
  • React.js
  • Node.js
  • Artificial Intelligence
  • Data Engineering
  • Cloud Computing
  • Innovation
  • Privacy
  • Marketing

Summary

Location: Irving, TX
Salary: $81.00 USD Hourly - $87.00 USD Hourly
Description:
Lead Software Engineer - AI & Cloud Data Engineering (Contingent)

Locations: Irving, TX (preferred) | Charlotte, NC | Phoenix, AZ | Minneapolis, MN | San Antonio, TX | Des Moines, IA | New Jersey | California
Work Type: Contingent (Conversion Eligible)

About the Role

We're building a modern, AI-enabled data platform that supports large-scale analytics and automation in a complex, hybrid-cloud environment. As a Lead Software Engineer - AI & Cloud Data Engineering, you will play a critical role in designing, building, and operationalizing cloud-native data and AI solutions that support next-generation analytics and security use cases.

You will work in a fast-paced, highly collaborative environment alongside principal engineers, product managers, and data engineers to deliver scalable data pipelines and AI-driven automation capabilities. This is a visible, hands-on technical leadership role with meaningful impact across a large data ecosystem.
Responsibilities

In this role, you will:
  • Lead the design and implementation of cloud-native, AI-enabled data pipelines on Google Cloud to ingest, transform, and distribute large-scale data.
  • Build and operate streaming and batch data processing solutions using technologies such as Kafka, Spark, and Flink.
  • Apply AI and agentic frameworks (e.g., LangChain, LangGraph, RAG/GraphRAG) to automate data management, governance, quality, metadata, and compliance workflows.
  • Consult on complex, large-scale data engineering initiatives, contributing to architectural decisions and long-term platform strategy.
  • Collaborate strategically within a matrixed organization, partnering with engineers, product managers, and stakeholders to roadmap and deliver high-priority data capabilities.
  • Drive adoption of modern data and AI technologies through technical leadership, mentorship, and hands-on development.
  • Support the migration of on-premises data platforms to Google Cloud-based architectures.
  • Ensure solutions align with organizational standards, security requirements, and compliance expectations.
Minimum Qualifications
  • 5+ years of experience in software or data engineering, or equivalent experience gained through work, consulting, education, military service, or training.
  • Experience working in large-scale data environments.
  • Hands-on experience building and supporting cloud data solutions, including Spark-based ingestion and processing.
  • Strong proficiency in Python and experience with Kafka.
  • Demonstrated experience developing data pipelines on Google Cloud, including services such as:
    • Google Cloud Storage
    • BigQuery
    • Dataproc
    • Cloud Composer (Airflow)
  • Experience with data lakehouse architectures and modern data processing patterns.
  • Proven ability to work on complex, ambiguous technical problems requiring in-depth analysis and sound judgment.
Preferred Qualifications
  • Recent, hands-on experience with AI tooling and frameworks, including:
    • LangChain
    • LangGraph / ADK
    • Agentic frameworks
    • Retrieval-Augmented Generation (RAG) and GraphRAG
    • MCP-based agent architectures
  • Experience using AI to accelerate data engineering, including code generation, context engineering, and prompt engineering.
  • Hands-on experience with streaming technologies (Kafka, Flink, Spark Streaming).
  • Strong background in cloud-based data lakes and warehouses with automated data pipelines.
  • Public cloud certifications (e.g., Google Cloud Platform Professional Data Engineer, Azure Data Engineer, AWS Data Analytics Specialty).
  • Experience with web-based UI development (React, Node.js) a plus.
Why This Role
  • Opportunity to build a modern AI-powered data platform from the ground up
  • High-impact work with visibility across engineering and product teams
  • Exposure to cutting-edge AI, data engineering, and cloud-native technologies
  • Collaborative environment that values innovation, technical excellence, and continuous learning


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Contact:

This job and many more are available through The Judge Group. Please apply with us today!
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: cxjudgpa
  • Position Id: 1127570
  • Posted 5 hours ago

Company Info

About Judge Group, Inc.

The Judge Group, is a leading professional services firm specializing in talent, technology, and learning solutions. We consult, staff, train, and solve. Through our work we make people and organizations better.

Our services are successfully delivered through a network of more than 30 offices across the United States, Canada, and India. The Judge Group is proud to partner with the best and brightest companies in business today, including over 60 of the Fortune 100. We serve organizations in financial services, healthcare, life sciences, insurance, government (including aerospace and defense), manufacturing, and technology and telecommunications.

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