GEICO
Engineer II - Data Lakehouse
at GEICO
Seniority Level:
Mid-Senior level
Employment Type:
Full-time
Job Function:
Information Technology
Industries:
Insurance
Base Pay Range $80,000.00/yr - $215,000.00/yr
Position Summary GEICO is seeking an Engineer with a passion for building high-performance, low maintenance, zero-downtime platforms, and core data infrastructure. 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, while co‑creating the culture of psychological safety and continuous improvement.
Position Responsibilities
Scope, design, and build scalable, resilient Data Lakehouse components
Lead architecture sessions and reviews with peers and leadership
Accountable for the quality, usability, and performance of the solutions
Spearhead new software evaluations and innovate with new tooling
Determine and support resource requirements, evaluate operational processes, measure outcomes to ensure desired results, and demonstrate adaptability and sponsoring continuous learning
Collaborate with customers, team members, and other engineering teams to solve our toughest problems
Consistently share best practices and improve processes within and across teams
Share your passion for staying on top of the latest open‑source projects, experimenting with, and learning recent technologies, participating in internal and external technology communities, and mentoring other members of the engineering community
Qualifications
Exemplary ability to design and develop, perform experiments
Experience developing new and enhancing existing open-source based Data Lakehouse platform components
Experience cultivating relationships with and contributing to open-source software projects
Experience with:
Apache Superset for data visualization and business intelligence
Jupyter Notebook for data science and machine learning development
Cloud computing (AWS, Microsoft Azure, Google Cloud, Hybrid Cloud, or equivalent)
Expertise in developing large-scale distributed systems that are scalable, resilient, and highly available, with a focus on:
Designing and implementing systems that can handle high traffic and large data volumes
Ensuring system reliability, uptime, and performance in complex environments
Expertise in container technology like Docker and Kubernetes platform development
Experience with continuous delivery and infrastructure as code
In-depth knowledge of DevOps concepts and cloud architecture
Experience in Azure Network (Subscription, Security zoning, etc.) or equivalent
Desirable:
Experience with ML Ops pipeline development and management, including:
Designing and implementing data pipelines for machine learning workflows
Ensuring data quality, integrity, and security in ML pipelines
Monitoring and optimizing ML pipeline performance and efficiency
Experience working with Large Language Models (LLM) to create Agentic systems, including:
Integrating LLMs with data lakehouse platforms and other systems
Developing and deploying Agentic models and workflows
Ensuring model performance, reliability, and security in production environment
Ability to excel in a fast‑paced, startup-like environment
Experience
Preferred qualifications and experience
2+ years of non-internship professional software development experience
2+ years of experience with architecture and design
2+ years of experience with AWS, GCP, Azure, or another cloud service
2+ years of experience in open-source frameworks
Education
Bachelor’s degree in computer science, Information Systems, Mathematics or equivalent education or work experience
Annual Salary $80,000.00 - $215,000.00
GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.
Benefits
Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well‑being
Financial benefits including market‑competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition‑based incentives; and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility – We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.
Equal Employment Opportunity 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.
#J-18808-Ljbffr
at GEICO
Seniority Level:
Mid-Senior level
Employment Type:
Full-time
Job Function:
Information Technology
Industries:
Insurance
Base Pay Range $80,000.00/yr - $215,000.00/yr
Position Summary GEICO is seeking an Engineer with a passion for building high-performance, low maintenance, zero-downtime platforms, and core data infrastructure. 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, while co‑creating the culture of psychological safety and continuous improvement.
Position Responsibilities
Scope, design, and build scalable, resilient Data Lakehouse components
Lead architecture sessions and reviews with peers and leadership
Accountable for the quality, usability, and performance of the solutions
Spearhead new software evaluations and innovate with new tooling
Determine and support resource requirements, evaluate operational processes, measure outcomes to ensure desired results, and demonstrate adaptability and sponsoring continuous learning
Collaborate with customers, team members, and other engineering teams to solve our toughest problems
Consistently share best practices and improve processes within and across teams
Share your passion for staying on top of the latest open‑source projects, experimenting with, and learning recent technologies, participating in internal and external technology communities, and mentoring other members of the engineering community
Qualifications
Exemplary ability to design and develop, perform experiments
Experience developing new and enhancing existing open-source based Data Lakehouse platform components
Experience cultivating relationships with and contributing to open-source software projects
Experience with:
Apache Superset for data visualization and business intelligence
Jupyter Notebook for data science and machine learning development
Cloud computing (AWS, Microsoft Azure, Google Cloud, Hybrid Cloud, or equivalent)
Expertise in developing large-scale distributed systems that are scalable, resilient, and highly available, with a focus on:
Designing and implementing systems that can handle high traffic and large data volumes
Ensuring system reliability, uptime, and performance in complex environments
Expertise in container technology like Docker and Kubernetes platform development
Experience with continuous delivery and infrastructure as code
In-depth knowledge of DevOps concepts and cloud architecture
Experience in Azure Network (Subscription, Security zoning, etc.) or equivalent
Desirable:
Experience with ML Ops pipeline development and management, including:
Designing and implementing data pipelines for machine learning workflows
Ensuring data quality, integrity, and security in ML pipelines
Monitoring and optimizing ML pipeline performance and efficiency
Experience working with Large Language Models (LLM) to create Agentic systems, including:
Integrating LLMs with data lakehouse platforms and other systems
Developing and deploying Agentic models and workflows
Ensuring model performance, reliability, and security in production environment
Ability to excel in a fast‑paced, startup-like environment
Experience
Preferred qualifications and experience
2+ years of non-internship professional software development experience
2+ years of experience with architecture and design
2+ years of experience with AWS, GCP, Azure, or another cloud service
2+ years of experience in open-source frameworks
Education
Bachelor’s degree in computer science, Information Systems, Mathematics or equivalent education or work experience
Annual Salary $80,000.00 - $215,000.00
GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.
Benefits
Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well‑being
Financial benefits including market‑competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition‑based incentives; and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility – We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.
Equal Employment Opportunity 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.
#J-18808-Ljbffr