Senior Data Engineer (Property Reinsurance/ Speciality Reinsurance) - 100% Remote

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Overview

Avesta Computer Services is seeking a highly skilled Senior Data Engineer specializing in Property Reinsurance and Specialty Reinsurance to join our remote team. In this pivotal role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support critical analytics and reporting functions. You will work closely with stakeholders to ensure data accuracy, integrity, and accessibility, contributing to strategic initiatives that drive business growth and operational excellence.

Job Responsibilities

• Design and implement robust data architectures and pipelines to process large datasets from various sources.
• Collaborate with data scientists and analysts to ensure that data infrastructure meets their analytical needs.
• Conduct data modeling, transformation, and loading processes to optimize data flow across the organization.
• Monitor, maintain, and enhance data systems to ensure high availability and performance.
• Develop and enforce data governance policies and data quality checks.
• Lead data engineering projects, ensuring timely delivery and alignment with business objectives.
• Identify and resolve performance issues and potential bottlenecks in data processing workflows.
• Stay informed about industry trends in data technology and reinsurance to propose innovative solutions.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field.
• Minimum of 5 years of experience in data engineering, data warehousing, or related roles, preferably in the reinsurance or insurance industry.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with data pipeline tools such as Apache Spark, Apache Kafka, and ETL frameworks.
• Strong understanding of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).
• Familiarity with cloud computing platforms like AWS, Azure, or Google Cloud Platform.
• Knowledge of data modeling principles and best practices in data governance.
• Excellent analytical, problem-solving, and communication skills.

Technologies & Tools

The Senior Data Engineer will engage with a variety of technologies and tools pertinent to data processing and analysis. Preferred technologies include Apache Spark for data processing, SQL for database interactions, and various cloud services (AWS, Azure) for deploying scalable solutions. Familiarity with data visualization tools such as Tableau or Power BI is advantageous but not mandatory. The role may also require the use of CI/CD tools for maintaining efficient data pipeline orchestration.

Ideal Candidates

Ideal candidates for this position will possess a strong foundation in data engineering principles, demonstrating a passion for delivering high-quality data solutions. They should exhibit a proactive approach to problem-solving and an eagerness to embrace emerging technologies in the data landscape. Excellent communication skills are essential, enabling effective collaboration within cross-functional teams. Candidates should have a keen business acumen, particularly within the context of reinsurance, to align engineering efforts with organizational goals and strategies.