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GEICO

Staff Engineer - Data Engineering & Analytics

Reposted 18 Days Ago
In-Office
10 Locations
105K-230K Annually
Senior level
In-Office
10 Locations
105K-230K Annually
Senior level
As a Staff Engineer, you will design and develop scalable data pipelines and reports, mentor engineers, and innovate solutions while ensuring high standards of data quality and system resilience.
The summary above was generated by AI

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 applicationsYou 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 lead the design and development of 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, co-creating the culture of psychological safety and continuous improvement. 

Position Description 

Our Staff Engineer is a key member of the engineering staff working across the organization to provide a friction-less experience to our customers and maintain the highest standards of protection and availability. Our team thrives and succeeds in delivering high quality technology products and services in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from data processing, pipeline development to dimensional data modeling and reporting 

Position Responsibilities 

As a Staff Engineer, you will: 

  • Scope, design, and build scalable, resilient distributed systems 

  • Utilize programming languages like Python, SQL, NoSQL, DBT along with Apache Spark for data processing, container orchestration services such as Docker and Kubernetes, and various Azure tools and services 

  • SQL Server Integration Services as well as reporting tools like Power BI and Apache Superset to transform and report on large volumes of enterprise data to gain new insights  

  • Utilize your passion for data exploration to produce high quality, accurate data and/or reports with visualizations to empower outstanding business decisions 

  • Responsible for technical aspects of a project at the team level 

  • Lead in design sessions and code reviews with peers to elevate the quality of engineering across the organization 

  • Spearhead new feature use (innovate within existing tooling) 

  • Spearhead new software acquisition and use (innovate with new tooling) 

  • Leverage automation to remove redundant error prone tasks to improve the quality of the solution 

  • Build with engineering excellence and leverage your technical skills to drive towards the best solutions 

  • Engage in cross-functional collaboration throughout the entire software lifecycle 

  • Define, create, and support reusable application components/patterns from a business and technology perspective 

  • 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) 

  • Advanced experience with Data Warehouses, OLAP, dimensional modeling and analytics 

  • Demonstrable knowledge of business intelligence tools (strong preference for Power BI) and/or ETL tools (strong preference for SSIS or DBT) 

  • Experience with Apache Iceberg for managing large-scale tabular data in data lakes is a plus 

  • Familiarity with understanding SQL concepts (such as MPP-based, No-SQL, Cloud WH) 

  • Experience architecting and designing new ETL and BI systems 

  • Experience with supporting existing ETL and BI systems 

  • Experience with scripting languages such as Python is preferred 

  • Experience with enterprise orchestration tools such as Airflow is preferred 

  • Ability to balance the competing needs of multiple priorities and excel in a dynamic environment 

  • Advanced understanding of DevOps concepts including Azure DevOps framework and tools 

  • Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication) 

  • Advanced understanding of monitoring concepts and tooling 

  • Strong problem-solving ability 

  • Experience with Marketing, Product, Sales, Service, Customer, Associate, Billing, Agency, Claims, or Telematics data is preferred  

  • Experience with front end development using REACT/Javascript is a plus 

 

Experience 

  • 8+ years of professional data/analytics/database engineering, programming languages and developing with big data technologies   

  • 5+ years of experience with data architecture and design especially Data Warehousing concepts 

  • 5+ years of experience with AWS, GCP, Azure, or another cloud service 

  • 4+ years of professional software development experience with SQL-based technologies 

  • 4+ years of experience in open-source frameworks 

  • 4+ years of experience with ETL and/or BI tools 

  • 3+ years of experience in Big-data tools like Spark and Databricks 

  • 2+ years of experience with Microsoft Fabric/Azure Data Factory preferred 

 

Education 

  • Bachelor’s degree in Computer Science, Information Systems, Data Science, Data Analytics or equivalent education or work experience 
    #LI-RP2


 

Annual Salary

$105,000.00 - $230,000.00

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.


 

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.

  • 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.

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.

Top Skills

Airflow
Spark
Apache Superset
Azure
Azure Data Factory
Dbt
Docker
Git
Kafka
Kubernetes
Microsoft Fabric
NoSQL
Power BI
Python
SQL
Sql Server Integration Services

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