Urgent! Senior Staff Engineer – Data Lakehouse Platform Job Opening In New York – 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 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 Description
Our Staff/Senior Staff Engineeris a key member of the engineering staff working across the organization to innovate and bring the best open-source data infrastructure and practices into GEICO as we embark on a greenfield project to implement a core Data Lakehouse for all Geico’s core data use-cases across each of the company’s business verticals.
Position Responsibilities
As a Senior Staff Engineer, you will:
Scope, design, and build scalable, resilient Data Lakehouse components
Lead architecture sessions and reviews with peers and leadership
Spearhead new software evaluationsand innovate with new tooling
Design and lead the development & implementation ofCompute Efficiency projects like Smart Spark Auto-Tuning Feature.
Drive performance regression testing, benchmarking, and continuous performance profiling.
Accountable for the quality, usability, and performance of the solutions
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
Be a role model and mentor, helping to coach and strengthen the technical expertise and know-how of our engineering community
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 OSS technology communities, and mentoring other members of the engineering community
Qualifications
Deep knowledge ofSpark internals, including Catalyst, Tungsten, AQE, CBO, scheduling, shuffle management, and memory tuning.
Proven experience intuning and optimizing Spark jobson Hyper-Scale Spark Compute Platforms.
Mastery of Spark configuration parameters, resource tuning, partitioning strategies, and job execution behaviors.
Experience buildingautomated optimization systems– from config auto-tuners to feedback loops and adaptive pipelines.
Strong software engineering skills inScala,Java, and python are required.
Ability to build tooling to surface meaningful performance insights at scale.
Deep understanding of auto-scaling and cost-efficiency strategies in cloud-based Spark environments.
Exemplary ability to design and develop, perform experiments, and influence engineering direction and product roadmap
Advanced 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 open-source table formats (Apache Iceberg, Delta, Hudi or equivalent)
Advanced experience with open-source compute engines (Apache Spark, Apache Flink, Trino/Presto, or equivalent)
Experience with cloud computing (AWS, Microsoft Azure, Google Cloud, Hybrid Cloud, or equivalent)
Expertisein developing distributed systems that are scalable, resilient, and highly available
Experience 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
Preferred Qualifications
Active or pastApache Spark Committer(or significant code contributions to OSS Apache Spark).
Experience withML-based optimization techniques(e.g., reinforcement learning, Bayesian tuning, predictive models).
Contributions to other big data/open-source projects (e.g., Delta Lake, Iceberg, Flink, Presto, Trino).
Background in designing performance regression frameworks and benchmarking suites.
Deep understanding of Spark accelerators (Spark RAPIDS, Apache Gluten, Apache Comet, Apache Auron, etc.) committer status in one or more project is a plus.
Skilled indocumenting methodologies and producing publication-style papers, whitepapers, andinternal research briefs.
Experience
10+ years of professional experience in data software development, programming languages and developing with big data technologies
8+ years of experience with architecture and design
6+ years of experience with distributed systems, with at least 3 years focused onApache Spark.
6+ years of experience in open-source frameworks
4+ years of experience with AWS, GCP, Azure, or another cloud service
Education
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field like physics or mathematics.
Annual Salary
$110,000.00 - $260,000.00The 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 Senior Staff Potential: Insight & Career Growth Guide
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Great news! GEICO is currently hiring and seeking a Senior Staff Engineer – Data Lakehouse Platform to join their team. Feel free to download the job details.
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