Senior Engineer – Data

📋 Description

• Define, design, and develop scalable and resilient distributed systems.

• Leverage programming languages including Python, SQL, and NoSQL databases, in addition to Apache Spark for data processing, dbt for data transformation, container orchestration technologies such as Docker and Kubernetes, and a variety of Azure tools and services.

• Employ your technical skills to influence product definitions and pursue optimal solutions.

• Collaborate cross-functionally throughout the entire development lifecycle.

• Facilitate design discussions and code reviews with colleagues to enhance the quality of engineering across the organization.

• Create, define, and maintain reusable data components and patterns that meet both business and technical needs.

• Develop a premier analytics platform to fulfill reporting requirements.

• Provide mentorship to fellow engineers.

• Regularly share best practices and enhance processes within and across teams.

⛳️ Requirements

• Extensive programming experience and proficiency in big data technologies including Python, SQL, dbt, Spark, Kafka, Git, and Containerization (Docker and Kubernetes).

• Familiarity with Apache Iceberg for managing large-scale tabular data in data lakes is an advantage.

• Experience with orchestration tools like Apache Airflow or similar technologies for automating and managing complex data pipelines.

• Proficiency in business intelligence tools, preferably Power BI or Superset.

• Demonstrated understanding of microservices architecture, REST APIs, and GraphQL.

• Experience in architecting and designing both new and existing systems.

• Advanced knowledge of DevOps principles, including the Azure DevOps framework and tools.

• Experience with CI/CD processes to support seamless integration and deployment of data solutions.

• Advanced skills in PowerShell scripting.

• In-depth understanding of monitoring concepts and tools.

• Strong comprehension of security protocols and products.

• Extensive knowledge of computer science data structures and algorithms.

• Familiarity with developer tools throughout the data development lifecycle, including task management, source code control, building, deployment, operations, and real-time communication.

• Strong analytical and problem-solving skills.

• Capacity to thrive in a fast-paced environment.

• A minimum of 4 years of professional experience in data engineering, programming languages, and utilizing big data technologies.

• At least 3 years of experience in architecture and design.

• A minimum of 3 years of experience with AWS, GCP, Azure, or another cloud service.

• At least 2 years of experience with big data tools such as Spark and Databricks.

🏝️ Benefits

• A comprehensive Total Rewards program offering personalized benefits tailored to you and your family's overall well-being.

• Financial perks including competitive market compensation; a 401K savings plan with immediate vesting and a 6% match; performance-based incentives; and tuition assistance.

• Access to additional benefits such as mental health support as well as fertility and adoption assistance.

• Flexibility support - We offer workplace flexibility along with our GEICO Flex program, allowing the option to work from anywhere in the US for up to four weeks each year.