Staff Engineer - Business Data Solutions (Claims) (REMOTE), GEICO, Chevy Chase, MD
GEICO -
Chevy Chase, MD,
US
Staff Engineer - Business Data Solutions (Claims) (REMOTE)
Date Posted: 2024-06-08
Job description
GEICO is seeking an experienced Staff 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.
Our Staff Engineer is a key 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 delivering high quality technology products and services in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from front-end UIs through back-end systems and all points in between.
As a Staff Engineer , you will:
Provide leadership to engineering teams utilizing data and related technologies
Own complete solution across entire life cycle while utilizing strong problem-solving ability
Influence and build vision with product managers, team members, customers, and other engineering teams to solve complex problems for building enterprise class business applications
Be accountable for the quality, usability, and performance of the solutions
Lead design sessions and code reviews to elevate the quality of engineering across the organization
Spearhead new feature use (innovate within existing tooling)
Spearhead new software acquisition and use (innovate with new tooling)
Leverage automation to remove redundant error prone tasks to improve the quality of the solution
Utilize programming languages / databases (.NET, SQL, NoSQL), Container Orchestration services (Docker and Kubernetes), and a variety of Azure tools and services across the Software Development Lifecycle
Execute software delivery utilizing continuous delivery, Infrastructure as code, PowerShell scripting, Operation Portals (e.g., Azure Portal) and Monitoring Portals
Mentor junior team members in Data and related technology
Share best practices and improve processes within and across teams
Qualifications
Experience with bringing data into a centralized data repository or manipulating the available data to build additional data sets for Analytics and Reporting purposes
Experience with maintaining data quality throughout the lifecycle of the data
Experience with Data Modeling, source to target mapping
Experience with automated testing frameworks
Experience with CI/CD pipelines and task automation using scripting
Experience with end-to-end automation
Developing new and enhancing existing data processing (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) components
Strong working knowledge of SQL and the ability to write, debug and optimize SQL queries and ETL or ELT jobs to reduce the execution window or reduce resource utilization
Data Engineering experience focused on batch and streaming data pipelines development, Data processing/data transformation using ETL or ELT tools
Experience with Cloud Data Warehouse solutions experience. Examples include Snowflake, Azure DW, Redshift, or similar technology in other private or public clouds
Complete software development lifecycle experience including design, documentation, implementation, testing, and deployment
Must be able to concentrate and demonstrate a capacity for learning technical concepts and adapting to new technologies quickly
Must be able to follow complex instructions, resolve conflicts or facilitate conflict resolution, and have strong organization/priority setting skills
Must be able to multi-task
Must be able to learn and apply large amounts of technical and procedural information and follow processes that have been published
Must be knowledgeable of software coding and following standards and processes that have been published and the guidelines for the design
Must be able to communicate in a clear, concise, professional oral or written manner, to be understood by customers, clients, co-workers, and other employees of the organization
Must be able to perform under pressure and stressful situations
May be required to be on call for production support 24x7
Familiarity with Databricks, Fishtown/DBT tool and Graph Databases is preferred
Experience with Spark/PySpark is preferred
Experience in designing and building solutions for data security, data quality and observability, metadata management, data lineage, and data discovery
Experience with building data software in microservices-oriented architecture and extensible REST APIs
Experience in data software development, using data technologies such as Relational and NoSQL databases, open data formats
Experience with programming languages such as Python, Scala, and/or other frameworks, building data pipelines (ETL and ELT) with batch or streaming ingestion, loading, and transforming data, and developing with big data technologies such as Spark, Hadoop, and MapReduce
Experience designing and building for data quality assurance, reliability, availability, and scalability, on existing and new data applications
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
$100,000.00 - $261,500.00
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:
*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.
Our Staff Engineer is a key 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 delivering high quality technology products and services in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from front-end UIs through back-end systems and all points in between.
As a Staff Engineer , you will:
Provide leadership to engineering teams utilizing data and related technologies
Own complete solution across entire life cycle while utilizing strong problem-solving ability
Influence and build vision with product managers, team members, customers, and other engineering teams to solve complex problems for building enterprise class business applications
Be accountable for the quality, usability, and performance of the solutions
Lead design sessions and code reviews to elevate the quality of engineering across the organization
Spearhead new feature use (innovate within existing tooling)
Spearhead new software acquisition and use (innovate with new tooling)
Leverage automation to remove redundant error prone tasks to improve the quality of the solution
Utilize programming languages / databases (.NET, SQL, NoSQL), Container Orchestration services (Docker and Kubernetes), and a variety of Azure tools and services across the Software Development Lifecycle
Execute software delivery utilizing continuous delivery, Infrastructure as code, PowerShell scripting, Operation Portals (e.g., Azure Portal) and Monitoring Portals
Mentor junior team members in Data and related technology
Share best practices and improve processes within and across teams
Qualifications
Experience with bringing data into a centralized data repository or manipulating the available data to build additional data sets for Analytics and Reporting purposes
Experience with maintaining data quality throughout the lifecycle of the data
Experience with Data Modeling, source to target mapping
Experience with automated testing frameworks
Experience with CI/CD pipelines and task automation using scripting
Experience with end-to-end automation
Developing new and enhancing existing data processing (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) components
Strong working knowledge of SQL and the ability to write, debug and optimize SQL queries and ETL or ELT jobs to reduce the execution window or reduce resource utilization
Data Engineering experience focused on batch and streaming data pipelines development, Data processing/data transformation using ETL or ELT tools
Experience with Cloud Data Warehouse solutions experience. Examples include Snowflake, Azure DW, Redshift, or similar technology in other private or public clouds
Complete software development lifecycle experience including design, documentation, implementation, testing, and deployment
Must be able to concentrate and demonstrate a capacity for learning technical concepts and adapting to new technologies quickly
Must be able to follow complex instructions, resolve conflicts or facilitate conflict resolution, and have strong organization/priority setting skills
Must be able to multi-task
Must be able to learn and apply large amounts of technical and procedural information and follow processes that have been published
Must be knowledgeable of software coding and following standards and processes that have been published and the guidelines for the design
Must be able to communicate in a clear, concise, professional oral or written manner, to be understood by customers, clients, co-workers, and other employees of the organization
Must be able to perform under pressure and stressful situations
May be required to be on call for production support 24x7
Familiarity with Databricks, Fishtown/DBT tool and Graph Databases is preferred
Experience with Spark/PySpark is preferred
Experience in designing and building solutions for data security, data quality and observability, metadata management, data lineage, and data discovery
Experience with building data software in microservices-oriented architecture and extensible REST APIs
Experience in data software development, using data technologies such as Relational and NoSQL databases, open data formats
Experience with programming languages such as Python, Scala, and/or other frameworks, building data pipelines (ETL and ELT) with batch or streaming ingestion, loading, and transforming data, and developing with big data technologies such as Spark, Hadoop, and MapReduce
Experience designing and building for data quality assurance, reliability, availability, and scalability, on existing and new data applications
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
$100,000.00 - $261,500.00
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.