Software Engineer

Location: Irving, TX
Salary: $69.00 USD Hourly - $74.00 USD Hourly
Description:
Software Engineer (Data Engineering) - Contingent Resource

Location: Irving, TX
About the Role

In this contingent assignment, you will support large-scale, complex data and software engineering initiatives. You'll partner with cross-functional teams to evaluate technical challenges, design scalable solutions, and guide strategic decision-making across enterprise data platforms. This role requires strong analytical skills, a deep understanding of modern data architectures, and the ability to collaborate effectively with stakeholders at all levels.
Responsibilities

• Lead and consult on complex, large-scale software engineering initiatives with broad organizational impact.
• Analyze multi-layered technical challenges requiring evaluation of diverse inputs, including ambiguous or unprecedented factors.
• Contribute to the design, development, and optimization of enterprise-class data environments.
• Apply deep knowledge of engineering standards, policies, and compliance requirements to ensure high-quality deliverables.
• Collaborate strategically with client teams, providing both technical expertise and thought leadership.
• Support data modernization, re-platforming, re-engineering, and migration efforts.
• Participate in architecture reviews and contribute to establishing standards and automation patterns for modern data platforms.

Minimum Qualifications

• 5+ years of software engineering experience, or equivalent through work, consulting, military service, or education.
• 3+ years of hands-on, at-scale experience with:
  • Python
  • Spark
  • Iceberg
  • Dremio or similar tools involving virtualization, federation, or semantic layers
  • Cloud platforms: Google Cloud Platform, Azure
  • ETL tools: Ab Initio (preferred), Informatica, DataStage
  • SQL
  • Relational databases such as Oracle, MS SQL, or Teradata
  • Data analysis, modeling, and design (for data engineering-focused candidates)
• Proven experience supporting and tuning large-scale, enterprise data environments.

Preferred Qualifications

• 5+ years working with modern Data Warehouse, Data Lake, and Data Lakehouse architectures.
• Experience providing technical leadership for enterprise data modernization efforts, including re-platforming and large-scale migrations.
• Demonstrated success designing and implementing target-state modern data platforms.
• Experience developing automation, establishing engineering standards, and advancing reusable patterns across teams.
• Hands-on experience with modern data toolsets (e.g., Python, Spark, Iceberg, Google Cloud Platform, Azure) in large-scale environments.

Technical Skills

Category Skill Required Experience Technical ETL No 6+ years Technical PySpark No 2-4 years Technical Python No 2-4 years Technical Python Coding No 2-4 years Technical Python Libraries No 2-4 years

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!