Data Engineer, Finance Data Team (REMOTE)

Position Summary 

  
​GEICO is seeking an experienced 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. 

​Position Description 

 

Our Engineer II 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.

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​Position Responsibilities 

As an Engineer II, you will: 

• Scope, design, and build scalable, resilient distributed systems 

• ​Engage in cross-functional collaboration throughout the entire software lifecycle  

• ​Participate in design sessions and code reviews with peers to elevate the quality of engineering across the organization 

• ​Utilize programming languages like Python, PySpark, Scala or other object-oriented languages, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services 

• ​Consistently share best practices and improve processes within and across teams  

• Build product definition and leverage your technical skills to drive towards the right solution 

 

Qualifications  

• ​Experience developing new and enhancing existing data processing (Data Ingest, Data Transformation, Data Store, 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 Parquet, Avro, ORC, XML, JSON 

• Experience with designing, developing, implementing, and maintaining solutions for data ingestion and transformation projects 

• Data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool), or Databricks 

• Programming experience with at least one modern language such as Python, PySpark, Scala 

• Experience contributing to the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems 

• Understanding of monitoring tools such as Application Insights  

• Intermediate PowerShell scripting skills  

• Understanding of Azure PaaS and IaaS services  

• Understanding of security protocols and products such as of Active Directory, Windows Authentication, SAML, OAuth 

• Understanding in DevOps Concepts, Cloud Architecture, and Azure DevOps Operational Framework 

• Experience with GIT and the overall GIT lifestyle 

• Experience with Big Data and the tooling on our Big Data Platform (Hadoop, Hive, Kafka) 

• Experience with Containerization using Docker and Kubernetes 

• Experience with SQL Queries 

• Experience with CI/CD tooling (Jenkins, Gradle, Artifactory, etc.) 

• Experience with Enterprise Reporting Tool (PowerBI or Qlik) 

• Analysis and Estimation skills 

• Strong problem-solving ability   

• Strong oral and written communication skills  

• Ability to excel in a fast-paced, startup-like environment 

 Experience  

• ​​2+ years of non-internship professional software development experience in Big Data 

• ​2+ years of experience with architecture and design  

• ​2+ years of experience with AWS, GCP, Azure, or another cloud service  

• ​2+ years of experience in open-source frameworks​  

​Education  

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

#LI-LF1

 

Annual Salary

$76,000.00 - $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 ma