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Senior Engineer - Data

GEICO
Bethesda, USA
Full-time
Senior · 4+ years experience
Hybrid
Discovered 2 weeks ago
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Qualifications

  • Advanced programming experience and big data experience within Python, SQL, dbt, Spark, Kafka, Git, Containerization (Docker and Kubernetes)
  • Experience with Apache Iceberg for managing large-scale tabular data in data lakes is a plus
  • Experience with orchestration tools such as Apache Airflow or similar technologies to automate and manage complex data pipelines
  • Experience with business intelligence tools (Power BI or Superset preferred)
  • Proven understanding of microservices oriented architecture and REST APIs and GraphQL
  • Experience architecting and designing new and current systems
  • Advanced understanding of DevOps concepts including Azure DevOps framework and tools
  • Experience with CI/CD to ensure smooth and continuous integration and deployment of data solutions
  • Advanced PowerShell scripting skills
  • Advanced understanding of monitoring concepts and tooling
  • Advanced understanding of security protocols and products
  • In-depth knowledge of CS data structures and algorithms
  • Knowledge of developer tooling across the data development life cycle (task management, source code, building, deployment, operations, real-time communication)
  • Strong problem-solving ability
  • Ability to excel in a fast-paced environment
  • 4+ years of professional experience in data engineering, programming languages and developing with big data technologies
  • 3+ years of experience with architecture and design
  • 3+ years of experience with AWS, GCP, Azure, or another cloud service
  • 2+ years of experience in Big-data tools like Spark and Databricks
  • Education
  • Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience
  • Annual Salary
  • $105,000.00 - $215,000.00
  • The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.
  • GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.
  • Great Company: Protecting customers through life’s twists and turns with innovation and integrity.
  • Great Careers: Personalized development programs, mentorship, and certification assistance.
  • Great Culture: Inclusive and collaborative culture rooted in shared success.
  • Great Rewards: Competitive pay, benefits, and flexibility to support your well-being and future.
  • The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
  • GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

Experience

  • The GEICO Pledge:

Preferred Qualifications

  • Experience with Apache Iceberg for managing large-scale tabular data in data lakes is a plus
  • Experience with business intelligence tools (Power BI or Superset preferred)

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