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Sr. Staff Data Engineer - Claims

Remote: 
Full Remote
Contract: 
Salary: 
130 - 260K yearly
Experience: 
Expert & Leadership (>10 years)
Work from: 
Maryland (USA), United States

Offer summary

Qualifications:

10+ years in data software development, 8+ years in architecture and design, 6+ years in open-source frameworks, Bachelor’s degree or equivalent experience, Experience with cloud computing (AWS, GCP, Azure).

Key responsabilities:

  • Lead strategy and execution of technical roadmap
  • Improve existing systems and identify new solutions
  • Collaborate with product managers and engineering teams
  • Design and implement scalable, resilient distributed systems
  • Mentor engineers and share best practices
GEICO logo
GEICO Insurance XLarge https://www.geico.com/
10001 Employees
See more GEICO offers

Job description

Senior Staff Engineer – Data

Position Summary

GEICO is seeking an experienced Engineer with a passion for building high-performance, low maintenance, zero-downtime platforms, and applications. 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 Senior Staff Engineer works with our Staff and Sr. Engineers to innovate and build new systems, improve and enhance existing systems and identify new opportunities to apply your knowledge to solve critical problems. You will lead the strategy and execution of a technical roadmap that will increase the velocity of delivering products and unlock new engineering capabilities. The ideal candidate has deep technical expertise.
Position Responsibilities

As a Senior Staff Engineer, you will:

  • Focus on multiple areas and provide technical and thought leadership to the enterprise
  • Collaborate with product managers, team members, customers, and other engineering teams to solve our toughest problems
  • Develop and execute technical software development strategy for a variety of domains
  • Accountable for the quality, usability, and performance of the solutions
  • Scope, design, and build scalable, resilient distributed systems
  • Design and implement solutions for the Data Engineering team
  • Be a role model and mentor, helping to coach and strengthen the technical expertise and know-how of our engineering and product community
  • Influence and educate leadership at all levels
  • Consistently share best practices and improve processes within and across teams
  • Analyze cost and forecast, incorporating them into business plans
  • Determine and support resource requirements, evaluate operational processes, measure outcomes to ensure desired results, and demonstrate adaptability and sponsoring continuous learning
  • Spearhead new feature use (innovate within existing tooling)
  • Spearhead new software acquisition and use (innovate with new tooling)
  • Lead in architecture sessions and reviews with peers to elevate the quality of engineering across the organization
  • Define, create, and support reusable application components/patterns from a business and technology perspective
  • Share your passion for staying on top of tech trends, 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, and influence engineering direction and product roadmap
  • Advanced experience developing new and enhancing existing data processing (data ingestion, data transformation, data storage, data management, data quality) components
  • Understanding of data warehouse concepts including data modeling and OLAP
  • Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift, or equivalent)
  • Experience with data formats such as Delta, Parquet, Avro, ORC, XML, JSON
  • Experience working streaming applications (Spark Streaming, Flink, Kafka, or equivalent)
  • Data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool), or Databricks
  • Understanding of machine learning
  • Strong working knowledge of SQL and the ability to write, debug and optimize SQL queries and ETL jobs to reduce the execution window or reduce resource utilization
  • Experience with cloud computing (AWS, Microsoft Azure, Google Cloud, Hybrid Cloud, or equivalent)
  • Experience with messaging such as Kafka, ActiveMQ, RabbitMQ, or similar messaging technologies
  • Expertise developing systems that are scalable, resilient, and highly available
  • Experience with continuous delivery and infrastructure as code
  • Experience with DevOps concepts and cloud architecture
  • In-depth knowledge of data structures and algorithms
  • Experience solving analytical problems with quantitative approaches
  • Ability to excel in a fast-paced, startup-like environment
  • Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication)
  • Fluency and specialization with at least two modern languages such as Java, Go, C++, Python or Scala including object-oriented design
  • Experience with Micro-services architecture and extensible REST APIs
  • Experience building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems
  • Experience in application monitoring tools and performance assessments: Prometheus, Grafana, Loki, Thousand Eyes, Influx, Dynatrace, Application Insights or equivalents
  • In depth knowledge of Datacenter structure, capabilities and offerings, including the Azure platform, and its native services including the Azure platform and its native services or equivalent
  • Experience in security protocols and products: Understanding of Active Directory, Windows Authentication, SAML, OAuth or equivalents
  • Experience in Azure Network (Subscription, Security zoning, etc.) or equivalent
  • Experience developing REST Web Service API. GraphQL is a plus
  • Expertise in Docker and Kubernetes platform development
  • Experience using NoSQL databases such as Cassandra, MongoDB or equivalent
  • Experience with build automation tools such as Jenkins, Gradle, Artifactory or equivalent
  • Experience with load test tools such as Gatling, JMeter or equivalent
  • Understanding of vulnerability reports (Veracode scan or equivalent)
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 in open-source frameworks
  • 4+ years of experience with AWS, GCP, Azure, or another cloud service
  • 3+ years of people management experience
Education
  • Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience

#LI-TC1


 

Annual Salary

$130,000.00 - $260,000.00

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.


 

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.

Required profile

Experience

Level of experience: Expert & Leadership (>10 years)
Industry :
Insurance
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Leadership
  • Analytical Thinking
  • Mentorship
  • Verbal Communication Skills
  • Problem Solving
  • Adaptability

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