Lead Data Engineer

Gainsco - Richardson, TX

Full-time - Mid Level

Richardson, TX

Insurance Carriers and Related Activities

About the position

The Lead Data Engineer at GAINSCO is responsible for driving the company's data strategy and optimizing data architecture for scalability and efficiency. This role involves leading cross-functional initiatives, architecting cloud-based solutions, and mentoring a team of data professionals to ensure robust data operations that support business intelligence and decision-making across the organization.

Responsibilities

• Develop and implement comprehensive data management strategies aligned with business objectives.
• Evaluate and enhance the organization's data architecture for scalability and performance.
• Lead cross-functional projects to integrate complex data systems in alignment with business goals.
• Architect and implement scalable cloud-based data solutions.
• Oversee the migration of data systems to the cloud, ensuring smooth integration and risk management.
• Leverage cutting-edge cloud technologies to enhance data capabilities.
• Design and optimize ETL frameworks to automate data flows and ensure smooth integration across various systems.
• Provide expertise in data transformations and oversee the development of maintainable ETL solutions.
• Mentor team members on advanced ETL practices and technologies.
• Partner with IT and business leaders to align data strategies with business needs.
• Influence data governance policies to ensure security, privacy, and compliance.
• Advocate for data-driven approaches to business challenges.
• Lead and mentor a team of data engineers and analysts, fostering a culture of innovation and learning.
• Provide career development plans and professional growth opportunities.
• Set high standards for technical expertise and professional conduct within the team.
• Stay up to date with advancements in data engineering and integrate cutting-edge tools and techniques.
• Participate in industry events and forums, bringing back valuable insights to the organization.
• Encourage continuous improvement and exploration of new solutions.

Requirements

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field preferred.
• 5+ years of experience in data engineering, database administration, ETL processes, and cloud technologies.
• Expertise in SQL, cloud services, data architecture, and database management.
• AWS Certified Solutions Architect, Google Professional Data Engineer, or other relevant certifications are highly desirable.
• Experience with big data platforms and real-time data processing frameworks is a plus.
• Proficiency in Microsoft Office Suite (Outlook, Teams, Word, Excel, PowerPoint), Asana, Azure DevOps, and ETL tools.

Nice-to-haves

• Strong problem-solving skills with the ability to address complex issues and generate multiple solutions.
• Strong written and oral communication skills.
• Analytical and problem-solving abilities.
• Ability to effectively prioritize and execute tasks in a high-pressure environment.
• Strong understanding of modern productivity tools for software development and project management.
• Adaptability to new tools and technologies to enhance productivity and efficiency.
• Experience working in a collaborative team environment.

Benefits

• Medical & dental (Basic plan FREE)
• Vision insurance
• Life insurance
• Short-term and long-term disability insurance
• Parental Leave Policy
• 401K + Company Match
• PTO Plan + Paid Company determined Holidays