Position Summary
The GEICO Data Engineering team is seeking an experienced Senior Data Engineer to drive data architecture and engineering efforts. You have a passion for efficient data engineering that is founded on sound operational and analytical data models and robust data architecture. You understand holistically how data moves through an organization, including how it is originated, transformed, derived, and persisted to enable business analytics and machine learning models. You have a strong track record of building high-performance and resilient data pipelines on open source. This role requires in-depth knowledge of data modeling and architecture, data pipelines, and data management.
Position Description
Our Senior Data Engineer is a key member of the engineering staff working across the organization to innovate and leverage industry best practices for our data engineering efforts as we embark on our Data transformation journey. Our team thrives and succeeds in delivering high quality data platforms, products, and services to our business partners in a hyper-growth environment where priorities shift quickly. This position will be fully remote.
Position Responsibilities
As a Senior Data Engineer, you will:
- Scope, design, and build scalable, resilient distributed systems
- Build product definition and leverage your technical skills to drive towards the right solution
- Engage in cross-functional collaboration throughout the entire software lifecycle
- Lead in design sessions and code 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
- Build world class reporting platform to satisfy reporting needs
- Utilize programming languages like Python, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services
- Mentor other engineers
- Consistently share best practices and improve processes within and across teams
Qualifications
- Advanced programming/development experience with Python, SQL, Containerization (Docker and Kubernetes), Hive, Spark, dbt, Airflow.
- Experience with DevOps & CI/CD tootling (such as Azure DevOps, Jenkins, Gradle, Artifactory)
- Experience with Source Version Control tools like GitHub, Azure Repos etc.
- Experience with monitoring (such as Splunk or equivalents) and reporting tools (such as PowerBI or equivalents).
- Experience architecting and designing new and current systems
- Advanced scripting skills using bash or equivalents.
- Advanced understanding of data security and governance protocols.
- Experience with cloud data warehouse solutions such as Snowflake.
- Experience with open-source query engines such as Trino, DuckDB etc.
- Experience with open source OLAP engines such as Starrocks, Pinot etc.
- Experience with Infrastructure as Code
- In-depth knowledge of CS data structures and algorithms
- Strong problem-solving ability
- Ability to excel in a fast-paced environment
- Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication)
Experience
- 4+ years of professional experience in data software development, programming languages and developing with big data technologies
- 4+ years of experience in Big-Data Tools
- 3+ years of experience with architecture and design
- 3+ years of experience with AWS, GCP, Azure, or another cloud service
Education
- Bachelor’s degree in computer science or a related field and/or equivalent experience.
Annual Salary
$76,000.00 - $185,000.00
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.