Principal Data Platform/DevOps Engineer

Position Responsibilities

As a Principal Engineer I, you will:

1. Develop general infrastructure technology in a public/private cloud.
2. Design, configure, optimize, manage, monitor, document, and support platform services and components, as well as supporting enterprise data ingestion.
3. Be responsible for technical aspects of a project at the team level.
4. Lead design sessions and code reviews to elevate the quality of engineering across the organization.
5. Spearhead new feature use (innovate within existing tooling).
6. Spearhead new software acquisition and use (innovate with new tooling).
7. Leverage automation to remove redundant error-prone tasks to improve the quality of the solution.
8. Work with a wide range of stakeholders and functional teams and establish a high trust partnership with internal business partners and other IT groups to support company initiatives.
9. Provide advanced system administration, operational support, and problem resolution for a large complex cloud computing environment and develop scripts to automate the deployment of resource stacks and associated configurations.
10. Extend standard systems management processes into the cloud including change, incident, and problem management.
11. Develop and maintain a library of deployable, tested, and documented automation design scripts, processes, and procedures.
12. Enable DevOps development activities and complex development tasks that will involve working with a wide variety of tools and container management systems.
13. Coordinate and bring application experts and other infrastructure teams together for finding optimal solutions to issues related to capacity, security, and performance.
14. Implement and maintain CI/CD solutions and create code deployment models to support self-service automation.

Qualifications

1. A technical background and knowledge of big data foundational concepts such as relational database, data warehouse, and data lakes is required to help build and maintain robust, scalable data and machine learning platforms.
2. Be well versed on general infrastructure technology and understand public and private cloud concepts such as Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS).
3. Experience configuring and managing technologies used in big data and machine learning such as Snowflake, Spark, virtual networking in cloud environments.
4. Experience with container orchestration tools such as Docker and Kubernetes.
5. Experience with infrastructure-as-code technologies such as Terraform.
6. Extensive experience and strong understanding of cloud and infrastructure components.
7. Preferred technologies include Azure, event streaming, data transformation, data warehouse, Azure Data Factory, and Azure data lake and services.
8. Strong working knowledge of networking concepts (DNS/DHCP/Firewalls/Sub-netting, etc.). Azure preferred.
9. Automation experience. Strong coding and scripting skills (shell, NodeJS, Python, etc.).
10. Experience in backend programming languages like PL/SQL, T-SQL, NZ SQL, etc.
11. Awareness of DB Optimization techniques pertinent to cloud data warehouses. Snowflake preferred.
12. Understanding of data ingress and egress patterns between cloud components. Big data Snowflake and different cloud service providers preferred.
13. Proficiency in Spark and Snowflake platform Architecture, function/feature is a plus.
14. Experience architecting and designing current systems.
15. Advanced understanding of DevOps concepts including Azure DevOps framework and tools.
16. Advanced understanding of monitoring concepts and tooling.
17. Experience with continuous delivery and infrastructure as code.
18. Strong problem-solving ability.
19. Ability to excel in a fast-paced environment.
20. Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication).
21. Experience and good understanding of big data ecosystems like Hadoop, Spark, and Snowflake.

Experience

1. 6+ years of professional software development and/or infrastructure experience.
2. 4+ years of experience in open-source frameworks.
3. 3+ years of experience with architecture and design.
4. 3+ years of experience with AWS, GCP, Azure, or another cloud service.

Education

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

Annual Salary

$72,000.00 - $236,500.00

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.

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:

1. Premier Medical, Dental and Vision Insurance with no waiting period.
2. Paid Vacation, Sick and Parental Leave.
3. 401(k) Plan.
4. Tuition Reimbursement.
5. Paid Training and Licensures.
6. Benefits may be different by location. Benefit eligibility requirements vary and may include length of service.
7. 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.