The Judge Group · 17 hours ago
Data Engineer (1116238)
Raleigh, NC
Full-time
Onsite
Senior Level, Lead/Staff
$110K/yr - $115K/yrThe Judge Group is seeking a Lead Data Engineer to design, build, and scale modern, cloud-based data platforms that support critical business use cases. In this role, you will provide technical leadership, drive data architecture decisions, and partner closely with business and engineering teams to deliver reliable, secure, and high-quality data solutions.
E-LearningInformation TechnologyProfessional Services
No H1B
Responsibilities
Lead the design and implementation of scalable, high‑performance data architectures aligned with business priorities
Define and evolve enterprise data strategy, standards, and best practices
Evaluate and integrate new tools and technologies to enhance data capabilities
Design and build complex ELT/ETL pipelines supporting both real‑time and batch processing
Develop and optimize high‑volume, high‑velocity data ingestion and transformation frameworks
Implement medallion architecture patterns using Snowflake, dbt, and streaming technologies
Establish and enforce data governance practices, policies, and standards
Design and implement data quality frameworks, monitoring, and validation processes
Ensure compliance with data security, privacy, and regulatory requirements, including sensitive data protection
Analyze, troubleshoot, and optimize performance across large-scale data systems
Implement robust logging, monitoring, alerting, and observability solutions
Design and maintain disaster recovery and high‑availability strategies
Enforce automated testing and data validation standards
Build CI/CD pipelines for data workflows using GitLab, GitHub, and automation tools
Review and approve code deployments across development, QA, production, and DR environments
Mentor and coach data engineers; provide technical direction and architectural guidance
Partner with business stakeholders to translate data requirements into scalable solutions
Promote data literacy and best practices across cross‑functional teams
Qualification
Required
Extensive experience designing and building automated, metadata‑driven data pipelines using modern cloud data platforms
Strong expertise in Snowflake, dbt Cloud, and Qlik Replicate (including Snowpipe and streaming frameworks)
Advanced experience with SQL and Python/PySpark for large‑scale data processing and automation
Hands‑on experience with AWS services such as S3, Lambda, SQS, SNS, Glue, and RDS
Experience integrating data from multiple sources including SQL Server, Oracle, DB2 (mainframe), files, and Snowflake
Strong knowledge of data governance, data quality, data security, and compliance frameworks
Proven experience with orchestration tools such as dbt Cloud and Apache Airflow (Astronomer)
Experience designing schema evolution and schema drift detection strategies
Proficiency in implementing RBAC, data access controls, and Snowflake data masking/tokenization policies
Strong problem‑solving skills and experience with performance tuning and optimization
Experience with structured and semi‑structured data formats (CSV, fixed width, JSON, XML, Excel, VSAM)
One or more relevant technical certifications
Preferred
Financial services or banking domain experience
Experience leading production support and release activities in regulated environments
Demonstrated ability to influence technology investments and architecture decisions across business units
Company
The Judge Group
Results through the Power of Experience.
Founded in 1970
1001-5000 employees
Funding
Current Stage
Public CompanyTotal Funding
unknown1997-02-14IPO
Leadership Team
Charlton Monsanto
Executive Vice President of Integrated Services and Innovation
Recent News
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