Take ownership and proactively drive execution and management of end-to-end Data Lakehouse for Finance Data. Focus on multiple areas and provide leadership to the engineering teams. Own complete solution across its entire life cycle. Influence and build vision with engineering leadership, team members, customers, and other engineering teams to solve complex problems for building enterprise-class business applications. Accountable for the automation, quality, usability, and performance of the sol... more details
Position Description
Our Staff Engineer is a lead 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 building and delivering high-quality technology products and services while influencing best practices in a hyper-growth environment as priorities evolve. The ideal candidate has broad and deep technical knowledge, typically ranging from managing backend resources to System reliability and all points in between. They will have advance experience and deep expertise in Platform and Data Engineering to build and manage a Finance Data Lake with multiple edge source integrations from the ground up.
Position Responsibilities
As a Staff Engineer, you will:
- Take ownership and proactively drive execution and management of end-to-end Data Lakehouse for Finance Data
- Focus on multiple areas and provide leadership to the engineering teams
- Own complete solution across its entire life cycle
- Influence and build vision with engineering leadership, team members, customers, and other engineering teams to solve complex problems for building enterprise-class business applications
- Accountable for the automation, quality, usability, and performance of the solutions
- Lead in design sessions and code reviews to elevate the quality of engineering across the organization
- Utilize programming languages like Python, SQL, and NoSQL databases, Container Orchestration services including Terraform, Docker and Kubernetes, and a variety of Azure tools and services to build an Event Driven Big Data Streaming platform for an ELT data pipeline
- Mentor more junior team members professionally to help them realize their full potential
- Consistently share best practices and improve processes within and across teams
Qualifications
- Fluency and specialization with at least two modern languages such as Java, or Python including other object-oriented design and PowerShell scripting
- Experience building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems
- Experience with Event driven Big Data streaming infrastructure and ETL/ELT frameworks (e.g., Spark Streaming, Flink, Kafka, Hive, Hadoop, Airflow, etc.)
- Experience with deploying highly robust and scalable data pipelines processing petabytes of data
- Experience working with Hadoop, SQL, No-SQL platforms
- Experience with various file formats such as Iceberg, Avro, JSON, and Parquet
- Fluency with DevOps concepts, Containerization, Test Automation, CI/CD, and Infrastructure as code like GitHub, Kubernetes, Docker, Terraform, Helm, Ansible, Chef, etc.
- Experience with the Azure Ecosystem – Azure DevOps, Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Storage
- Experience with observability and monitoring platforms for telemetry, alerts, monitoring, SLA and SLOs with Grafana, Azure Monitoring, AppInsights, Dynatrace, or equivalents
- Experience with performance tuning with applications processing large amounts of data
- Experience with Load Testing and Quality Assurance
- Strong verbal and written communication skills
Experience
- 6+ years of professional experience in data software development, programming languages and developing with big data technologies
- 4+ years of experience in open-source frameworks
- 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, Information Systems, or equivalent education or work experience
Annual Salary
$110,000.00 - $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.
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.
