Position Summary
GEICO is seeking an experienced Senior 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 develop state-of-the-art data pipelines, models, and reports, transforming vast datasets that reach up to multiple terabytes in size, while championing innovation, best practices, and continuous learning.
Position Description
As a Senior Engineer, you will work to provide an excellent user experience for our internal stakeholders across the organization and maintain the highest standards of data and analytics engineering. 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 processing and pipeline development to dimensional data modeling and reporting.
Position Responsibilities
As a Senior Engineer, you will:
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Scope, design, and build scalable, resilient distributed systems
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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
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Utilize your passion for data exploration to produce high quality reports with tools such as Power BI and Apache Superset to empower outstanding business decisions
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Use your technical expertise to shape product definitions and drive towards optimal solutions
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Lead in design sessions and code reviews with peers to elevate the quality of engineering across the organization
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Engage in cross-functional collaboration throughout the entire development lifecycle
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Manage data pipelines, ensuring consistent data availability
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Mentor other engineers
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Consistently share best practices and improve processes within and across teams
Qualifications
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Advanced programming experience and big data experience within Python, SQL, dbt, Spark, Kafka, Git, Containerization (Docker and Kubernetes)
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Advanced experience with Data Warehouses (Snowflake preferred), dimensional modeling, and analytics
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Demonstrable knowledge of business intelligence tools (Power BI and Apache Superset preferred)
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Experience with Apache Iceberg for managing large-scale tabular data in data lakes is a plus
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Experience with orchestration tools such as Apache Airflow or similar technologies to automate and manage complex data pipelines
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Experience architecting and designing new ETL and BI systems
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Experience with supporting existing ETL and BI systems
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Experience with CI/CD to ensure smooth and continuous integration and deployment of data solutions
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Ability to balance the competing needs of multiple priorities and excel in a dynamic environment
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Advanced understanding of DevOps concepts including Azure DevOps framework and tools
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Knowledge of developer tooling across the data development life cycle (task management, source code, building, deployment, operations, real-time communication)
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Understanding of microservices oriented architecture and REST APIs and GraphQL
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Advanced understanding of data quality monitoring and automated testing
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Strong problem-solving ability
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Experience with Marketing, Product, Sales, Service, Customer, Associate, Billing, Agency, Claims, or Telematics data is preferred
Experience
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4+ years of professional data and/or analytics engineering, programming languages and developing with big data technologies
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3+ years of experience with data architecture and design
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3+ years of experience with AWS, GCP, Azure, or another cloud service
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3+ years of experience with ETL and/or BI tools
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2+ years of experience in Big-data tools like Spark and Databricks
Education
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Bachelor’s degree in Computer Science, Information Systems, Data Science, Statistics, Data Analytics or equivalent education or work experience
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Annual Salary
$82,000.00 - $185,000.00
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.
At this time, GEICO will not sponsor a new applicant for employment authorization for this position.
Benefits:
As an Associate, you’ll enjoy our Total Rewards Program* to help secure your financial future and preserve your health and well-being, including:
- 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
*Benefits may be different by location. Benefit eligibility requirements vary and may include length of service.
**Coverage begins on the date of hire. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect.
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.
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