Remote Lead Data Engineer (Insurance Solutions)

About the Role Our client, a global leader in insurance technology, is seeking an exceptional Lead Data Engineer to spearhead their remote data initiatives. This fully remote position offers the opportunity to design, build, and maintain scalable data infrastructure and pipelines that power advanced analytics and data science within the insurance domain. You will lead a team of data engineers, mentor junior members, and collaborate closely with data scientists, analysts, and business stakeholders to deliver robust data solutions. The ideal candidate has a deep understanding of data warehousing, ETL processes, big data technologies, and cloud platforms, with specific experience in the financial services or insurance sector. You will be responsible for ensuring data quality, integrity, and accessibility across the organization.

This is a critical leadership role for driving data innovation in a remote‑first environment, contributing to cutting‑edge insurance solutions.

Key Responsibilities

• Lead the design, development, implementation, and maintenance of robust, scalable, and efficient data pipelines and ETL processes.
• Architect and manage data warehousing solutions and data lakes, optimizing for performance and cost.
• Oversee the migration of data infrastructure to cloud‑based platforms (e.g., AWS, Azure, GCP).
• Develop and enforce data governance policies, standards, and best practices to ensure data quality, security, and compliance.
• Collaborate with data scientists and analysts to understand their data requirements and provide optimized data sets for analysis and modeling.
• Mentor and guide a team of data engineers, fostering a collaborative and high‑performing environment.
• Identify and evaluate new data technologies and tools to enhance the data infrastructure and capabilities.
• Troubleshoot and resolve data‑related issues, ensuring data availability and reliability for business operations.
• Automate data processes and monitor system performance, implementing necessary optimizations.

Requirements

• A Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related quantitative field.
• Minimum of 7-10 years of experience in data engineering, with at least 3 years in a leadership or senior role.
• Extensive experience with cloud data platforms (AWS, Azure, or GCP) and their associated data services (e.g., S3, Redshift, BigQuery, Data Factory).
• Proficiency in programming languages commonly used in data engineering, such as Python, Scala, or Java.
• Strong experience with SQL and NoSQL databases, data modeling, and data warehousing concepts.
• Expertise in big data technologies like Spark, Hadoop, and distributed systems.
• Proven experience in building and managing complex ETL/ELT pipelines using tools like Airflow or similar orchestration tools.
• Excellent understanding of data governance, data quality, and data security principles.
• Strong problem‑solving, analytical, and leadership skills.
• Exceptional communication and collaboration skills for effective remote team interaction.

Benefits

Our client offers a highly competitive salary, comprehensive remote benefits package including superior medical coverage and retirement savings plans. This role provides significant opportunities for professional growth, leadership development, and exposure to cutting‑edge technologies in the insurance sector. Enjoy the ultimate flexibility and autonomy of a fully remote position, contributing to impactful projects from anywhere.