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Urgent! Sr Data Analytics and Vertical Engineering - Claims Domain Engineer Job Opening In Chevy Chase – Now Hiring GEICO
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most.
We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose.
When you join our company, we want you to feel valued, supported and proud to work here.
That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.
Position Summary
GEICO is seeking an experienced Senior Data Engineer with a passion for building high-performance, low maintenance, zero-downtime data solutions.
You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission.
Within the Data Analytics and Vertical Engineering team, you will play a key role in leveraging modern technologies to enhance our data capabilities, while championing innovation, best practices, and continuous learning.
Position Description
As a Senior Data Engineer, you will work to build and maintain robust data systems that power a state-of-the-art analytics platform.
Our team thrives and succeeds in delivering high-quality data solutions in a hyper-growth environment where priorities shift quickly.
The ideal candidate has broad and deep technical knowledge, typically ranging from data pipeline development and data transformation to data storage and processing optimization.
Position Responsibilities
As a Senior Engineer, you will:
· Scope, design, and build scalable, resilient distributed systems
· Utilize programming languages like Python, SQL, and NoSQL databases, along with Apache Spark for data processing, dbt for data transformation, container orchestration services such as Docker and Kubernetes, and various Azure tools and services
· Use your technical expertise to shape product definitions and drive towards optimal solutions
· Engage in cross-functional collaboration throughout the entire development lifecycle
· Lead in design sessions and code reviews with peers to elevate the quality of engineering across the organization
· Define, create, and support reusable data components and patterns that align with both business and technology requirements
· Build a world-class analytics platform to satisfy reporting needs
· Mentor other engineers
· Consistently share best practices and improve processes within and across teams
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
Experience
· 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
$80,000.00 - $215,000.00The 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.
The GEICO Pledge:
Great Company: At GEICO, we help our customers through life’s twists and turns.
Our mission is to protect people when they need it most and we’re constantly evolving to stay ahead of their needs.
We’re an iconic brand that thrives on innovation, exceeding our customers’ expectations and enabling our collective success.
From day one, you’ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people’s lives.
Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career – and your potential – in mind.
You’ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.
Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset.
Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives.
Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.
As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.
Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.
✨ Smart • Intelligent • Private • Secure
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Unlock Your Sr Data Potential: Insight & Career Growth Guide
Real-time Sr Data Jobs Trends in Chevy Chase, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Sr Data in Chevy Chase, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 92376 jobs in United States and 28 jobs in Chevy Chase. This comprehensive analysis highlights market share and opportunities for professionals in Sr Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! GEICO is currently hiring and seeking a Sr Data Analytics and Vertical Engineering Claims Domain Engineer to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at GEICO adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Sr Data Analytics and Vertical Engineering Claims Domain Engineer Jobs United States varies, but the pay scale is rated "Standard" in Chevy Chase. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Sr Data Analytics and Vertical Engineering Claims Domain Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Sr Data Analytics and Vertical Engineering Claims Domain Engineer interview at GEICO, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the GEICO's products or services and be prepared to discuss how you can contribute to their success.
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