Note: The job is a remote job and is open to candidates in USA. The Judge Group is a professional services firm specializing in talent, technology, and learning solutions. It is seeking a Data Engineer III to design, optimize, and support scalable data pipelines and integrations, while leading AI and machine learning initiatives, resolving operational issues, and mentoring teammates.

Responsibilities

• Pipeline engineering - Build and maintain ETL workflows that scale without cracking under pressure
• Advanced SQL tuning - Write SQL that slices through massive datasets with precision and speed
• Automate complex workflows using Azure & Fabric, Spark, and Python
• Lead engineering efforts on machine learning and AI initiatives - from data prep to deployment
• Build and maintain SOAP and REST APIs that move data cleanly across internal and external systems
• Work directly with vendors to ensure integrations stay healthy, accurate, and future-proof
• Monitor and troubleshoot pipelines like a hawk - ensuring uptime, reliability, and smooth data flow
• Identify bottlenecks before they become outages and engineer long-term fixes
• Manage and prioritize work through the ticketing system
• Communicate clearly in stand-ups and stakeholder meetings
• Participate in code reviews to uphold engineering standards
• Contribute documentation that future engineers will actually appreciate
• Provide Tier 3 support for integrated systems (reporting, accounting, and more)
• Partner with business owners to identify improvements and gather requirements
• Mentor teammates through knowledge-sharing, training sessions, and hands-on guidance
• Own complex projects end-to-end, delivering solutions aligned with business goals

Skills

• * Bachelor's degree in Computer Science, Information Systems, or equivalent experience
• * Expert knowledge of SQL, dbt, Python, and/or C#
• * Expert experience with orchestration tools like Azure Data Factory
• * Strong understanding of data modeling and ETL concepts
• * Experience with Git and version control best practices
• * Independent problem-solver with the ability to untangle complex technical challenges
• * A complex, senior-level engineering environment with high expectations for independence
• * A reliability-focused setting where uptime, performance, and data integrity matter
• * A fast-paced workload balancing delivery, operations, and cross-team collaboration
• * Solving deep technical problems and improving system performance
• * Building automation that eliminates repetitive work
• * Leading through expertise and raising the bar for engineering standards

Benefits

• This is a remote role.
• All required technology will be provided.
• Remote orientation (live + recorded sessions).
• IT security training.
• Internal development processes and procedures.
• Company-approved AI tools.

Company Overview

Company H1B Sponsorship