Job Abstract

It is an exciting time to be at GEICO as we transform the insurance business and build a tech organization with engineering excellence as its mission, with a culture of psychological safety and continuous improvement. We are seeking experienced engineers with a passion for building high-performance, low maintenance, and zero-downtime systems to help us build a Finance Data Lake from the ground up. 

As a Senior Staff Engineer, you will:

• Define the engineering direction and roadmap for the new Finance Data Lake that aligns with business goals.
• Lead the development of our new Finance Data Lake meeting goals for security, resilience, compliance and correctness. 
• Provide technical guidance and mentorship to team members, sharing knowledge and best practices to foster a culture of constant learning.
• Hold a high bar on technical decision making, and setting a standard for engineering artifacts that the team creates, such as code and design docs.
• Stay up-to-date with industry trends and emerging technologies, evaluating their potential impact on the payments engineering domain and making recommendations for adoption.
• Triage and resolve service disruptions, and build industry standard mechanism for prevention and self-healing.
• Influence and educate leadership at all levels.

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

• 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

• Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience

Annual Salary

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.

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.