Senior Data Engineer, Finance Data Team (REMOTE)

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Overview

The Senior Data Engineer for the Finance Data Team at GEICO will play a pivotal role in enhancing our data infrastructure to support financial analytics and reporting. This position involves designing, building, and maintaining scalable data pipelines and data warehouses, facilitating the integration of complex data sources. The ideal candidate will collaborate with cross-functional teams to ensure data integrity and availability, enabling data-driven decisions that enhance operational efficiency and financial performance.

Job Responsibilities

• Design, develop, and maintain robust data pipelines and architectures to support finance-related data needs.
• Collaborate with data scientists, analysts, and financial teams to define data requirements and deliver actionable insights.
• Implement data governance and management best practices to ensure data accuracy and consistency.
• Optimize and enhance existing data models and data flows for improved performance and scalability.
• Monitor, troubleshoot, and resolve data issues in a timely manner while ensuring compliance with regulatory standards.
• Develop documentation and provide training to team members on best practices in data engineering.
• Stay updated on industry trends and emerging technologies to recommend innovative solutions.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field; Master’s degree preferred.
• 8+ years of experience in data engineering or related fields, with a proven track record in financial datasets.
• Expertise in SQL, Python, and/or R for data manipulation and analysis.
• Hands-on experience with cloud services such as AWS, Azure, or Google Cloud Platform.
• Familiarity with data warehousing solutions, ETL processes, and data modeling techniques.
• Knowledge of data visualization tools, such as Tableau or Power BI, to communicate insights effectively.
• Strong analytical and problem-solving skills, with the ability to work independently and in teams.

Technologies & Tools

The Senior Data Engineer will work with a diverse range of technologies and tools including AWS or Azure for cloud data solutions, SQL databases for data management, and ETL tools like Apache NiFi or Talend for data integration. Experience with programming languages such as Python and R for data processing will be essential. Proficiency in data visualization platforms like Tableau or Power BI will also be valuable in providing insights to finance teams.

Ideal Candidates

The ideal candidate for this position will possess a strong blend of technical expertise and analytical thinking, along with a proactive approach to problem-solving. They should demonstrate exceptional communication skills to effectively collaborate with various stakeholders. A successful Senior Data Engineer should be detail-oriented, capable of working under pressure, and dedicated to fostering a data-driven culture within the organization. Additionally, adaptability to embrace new challenges and technologies is essential in this dynamic role.