Director Data Engineering - QA Automation

Core Specialty Insurance Holdings, Inc. • Chicago, IL

78d • $150,000 - $180,000

About The Position

Core Specialty’s Data Environment is the organizational data ecosystem that supports enterprise requirements for data management, consolidation, insights, and reporting. The Data & Analytics organization ingests and manages data from over 200 distinct sources and growing, which serves business intelligence, AI/ML models, and enterprise decision-making. Maintaining the integrity, accuracy, and completeness of this extensive data environment requires a scalable and automated quality assurance strategy. The Director of Engineering – QA Automation will be responsible for designing and implementing this strategy, integrating quality processes throughout the data platform—including ingestion pipelines, semantic models, and machine learning workflows. This role will require 40% hands on involvement to start in order to build out the architecture, blueprints, and coding standards required for QA Engineers to adhere to. It may also include development efforts as needed.

Requirements

• Bachelor’s degree in computer science, data engineering, or related field required.
• Master’s degree in computer science, data engineering, or related field preferred.
• Minimum of 15 years of experience in Data Engineering (hands-on roles).
• Minimum of 5 years of experience in a leadership position.
• Prior QA and automation experience within data engineering space required.
• Proven experience in testing large-scale data systems and ML workflows.
• Strong architectural thinking and ability to define scalable testing patterns.
• Excellent leadership, communication, and cross-functional collaboration skills.

Nice To Haves

• Experience with synthetic data generation and data fuzzing tools.
• Experience with Data Contracts and the Producer vs. Consumer model.
• Familiarity with data governance and compliance frameworks (e.g., GDPR, HIPAA).
• Exposure to AI-assisted testing platforms.

Responsibilities

• Define and lead the QA automation strategy for data engineering, analytics, and machine learning initiatives.
• Architect and implement scalable, reusable automation frameworks for data pipelines, ingestion models, semantic layers, and ML workflows.
• Collaborate with Data Engineering, Data Science, and DevOps teams to integrate automated testing into CI/CD pipelines.
• Establish coding standards, architectural patterns, and best practices for test automation across the organization.
• Develop automated validation for data quality, schema enforcement, lineage tracking, and model performance.
• Mentor and grow a high-performing QA team with deep domain knowledge in data and analytics.
• Drive continuous improvement in testing tools, processes, and observability.
• Undertake other duties as the Company may reasonably require.

Benefits

• Competitive salary and opportunities for professional development and advancement.
• Medical, dental, vision, and life insurances.
• Short and long-term disability.
• Company-match of 100% of a 6% contribution 401(k) plan.
• Employee Assistance Plan.
• Health Savings Account, Flexible Spending Account, Health Reimbursement Account.
• Wellness program.

What This Job Offers

• Career Level: Senior
• Education Level: Bachelor's degree