Senior Data Engineer

$90,000 - $185,000/Yr

Geico - Chevy Chase, MD

posted 2 months ago

Full-time - Senior
Chevy Chase, MD
Insurance Carriers and Related Activities

About the position

The Data Engineering organization at GEICO is seeking a highly motivated and experienced Senior Data Engineer to enhance the customer experience and uphold the highest standards of data engineering excellence. In this role, you will be responsible for designing and building high-quality, scalable, and resilient data solutions that meet the needs of our business. You will engage in cross-functional collaboration throughout the entire software lifecycle, ensuring that the solutions you develop align with business requirements and technical capabilities. As a Senior Data Engineer, you will lead design sessions and code reviews, elevating the quality of engineering practices across the organization. You will also mentor other engineers, sharing best practices and continuously improving processes within and across teams. Your contributions will be pivotal in building a world-class reporting platform that satisfies the reporting needs of the organization. This position requires advanced programming and development experience, particularly in Python, DBT, GIT, Kafka, Spark, and PowerBI. You will also need to have a strong understanding of monitoring concepts and experience with tools such as Dynatrace, Thousand Eyes, Influx, and Grafana. A solid grasp of big data, Data Warehouse architecture, and OLAP solutions is essential, as is experience in developing data models and transformation designs for various layers of a Data Warehouse. Additionally, you should possess an advanced understanding of DevOps concepts, particularly within the Azure DevOps framework, and be sensitive to security protocols and customer data protection. Strong problem-solving and communication skills are crucial, as is the ability to thrive in a fast-paced environment. Knowledge of developer tooling across the software development lifecycle is also important for this role.

Responsibilities

  • Design and build high-quality scalable and resilient data solutions.
  • Build understanding of business requirements and leverage technical skills to drive towards the right solution.
  • Engage in cross-functional collaboration throughout the entire software lifecycle.
  • Build a world-class reporting platform to satisfy reporting needs.
  • Lead in design sessions and code reviews to elevate the quality of engineering across the organization.
  • Mentor other engineers and share best practices.
  • Consistently improve processes within and across teams.

Requirements

  • Advanced programming and development experience within Python, DBT, GIT and GIT lifecycle, Kafka, Spark, PowerBI.
  • Experience with CI/CD process and tools.
  • Advanced understanding of monitoring concepts and experience with monitoring tools such as Dynatrace, Thousand Eyes, Influx, Grafana or equivalents.
  • Strong understanding of big data, Data Warehouse, as well as OLAP architecture and solutions.
  • Experience in developing data models and data transformation designs for different layers of a Data Warehouse.
  • Advanced understanding of DevOps concepts including Azure DevOps framework and tools.
  • Advanced understanding of security protocols and products as well as sensitivity to securing customer data.
  • In-depth knowledge of data structures and algorithms.
  • Strong problem-solving and communication skills.
  • Ability to excel in a fast-paced environment.
  • Knowledge of developer tooling across the software development life cycle.

Benefits

  • Premier Medical, Dental and Vision Insurance with no waiting period.
  • Paid Vacation, Sick and Parental Leave.
  • 401(k) Plan.
  • Tuition Reimbursement.
  • Paid Training and Licensures.
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