Data Engineering Lead

Arthur J Gallagher • Rolling Meadows, IL

79d

About The Position

We are seeking a highly skilled and experienced Technical Lead - Data Engineering to join our dynamic team. The ideal candidate will lead the design, development, and implementation of data engineering solutions that support our business objectives. This role requires a strong technical background, leadership skills, and the ability to collaborate with cross-functional teams to deliver scalable and efficient data solutions.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
• 7+ years of experience in data engineering, with at least 2 years in a leadership or technical lead role.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong experience with data processing frameworks like Apache Spark, Hadoop, or similar.
• Expertise in designing and managing data warehouses and databases (e.g., Snowflake, Redshift, BigQuery, SQL Server).
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and their data services.
• Solid understanding of ETL/ELT processes, data modeling, and data architecture principles.
• Familiarity with data governance, security, and compliance standards.
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Strong communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders.

Nice To Haves

• Experience with real-time data processing and streaming technologies (e.g., Kafka, Flink).
• Knowledge of machine learning workflows and integration with data pipelines.
• Certification in cloud platforms or data engineering tools.

Responsibilities

• Lead the design, development, and maintenance of scalable data pipelines and architectures to support data integration, transformation, and analytics.
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
• Oversee the implementation of data engineering best practices, including data governance, security, and quality standards.
• Mentor and guide a team of data engineers, providing technical expertise and fostering a culture of continuous learning and improvement.
• Evaluate and recommend tools, technologies, and frameworks to enhance the data engineering ecosystem.
• Ensure the performance, reliability, and scalability of data systems and processes.
• Work closely with data scientists, analysts, and other teams to enable data-driven decision-making across the organization.
• Monitor and troubleshoot data pipelines and workflows to ensure seamless operations.
• Stay updated on industry trends and emerging technologies in data engineering and analytics.

Benefits

• Medical/dental/vision plans, which start from day one!
• Life and accident insurance.
• 401(K) and Roth options.
• Tax-advantaged accounts (HSA, FSA).
• Educational expense reimbursement.
• Paid parental leave.
• Digital mental health services (Talkspace).
• Flexible work hours (availability varies by office and job function).
• Training programs.
• Gallagher Thrive program - elevating your health through challenges, workshops and digital fitness programs for your overall wellbeing.
• Charitable matching gift program.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Insurance Carriers and Related Activities
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees