Senior Data Engineer - People & Finance Technology (REMOTE)

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Overview

The Senior Data Engineer - People & Finance Technology at GEICO will play a crucial role in architecting and building robust data pipelines and analytical solutions to support the organization’s Human Resources and Financial Operations. This position encompasses refining data processes, ensuring data quality and integrity, as well as optimizing the storage solutions. The incumbent will collaborate with various teams to facilitate data-driven decision-making processes by leveraging large and complex datasets.

Job Responsibilities

• Design, develop, and maintain scalable data pipelines to extract, transform, and load (ETL) data from multiple sources into data warehouses.
• Ensure data quality, integrity, and security throughout the data lifecycle.
• Collaborate with cross-functional teams to analyze complex data requirements and develop solutions that meet business needs.
• Optimize existing data models and processing systems to improve performance and reduce costs.
• Monitor data systems for performance, reliability, and scalability while implementing best practices and industry standards.
• Document data engineering processes and maintain data dictionaries to enhance data governance.
• Stay current with emerging technologies and trends in data engineering and analytics to apply innovative solutions within the organization.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field; a Master's degree is preferred.
• A minimum of 5 years of experience in data engineering, data architecture, or a similar role.
• Strong programming skills in languages such as Python, Java, or Scala.
• Proficient in working with SQL and NoSQL databases, and experience in database design and data modeling.
• Experience with big data technologies such as Hadoop, Spark, or Kafka.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong analytical and problem-solving skills, with the ability to handle complex datasets and derive actionable insights.

Technologies & Tools

The role of Senior Data Engineer will involve the use of various technologies and tools including, but not limited to, SQL, Python, BigQuery, Hadoop, Apache Spark, and AWS services such as S3 and Redshift. Familiarity with data visualization tools like Tableau or Power BI may also be advantageous, as the successful candidate may be expected to present insights derived from complex datasets.

Ideal Candidates

Ideal candidates for the Senior Data Engineer position possess a meticulous attention to detail and a strong commitment to delivering high-quality work. They exhibit excellent communication skills, enabling effective collaboration across different teams, and are passionate about leveraging data to drive business outcomes. A proactive mindset in addressing challenges and a continuous improvement approach in methodologies and processes are also key traits that align well with GEICO's innovative culture.