Senior Data Engineer - People & Finance Technology (REMOTE)
MD Chevy Chase (Office) - JPS
GEICO is seeking an experienced Senior Data Engineer with a passion for transforming existing technology to new Open Source technologies. 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 Senior Data 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 exit 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 is an experienced Data Engineer with background in ETL or ELT processing with SQL/NoSQL databases, a background in transforming existing tech to new open source technologies (ideally Postgres) as well as a strong development background in Spark, Scala, Java and/or Python.
Position Responsibilities
As a Senior Data Engineer, you will:
Design and implement a data ingestion platform
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 the processes required for optimal extraction, transformation, and loading of data
Work with other teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
Perform unit tests and conduct reviews with other team members to make sure code is rigorously designed, elegantly coded, and effectively tuned for performance
Share your passion for staying on top of tech trends, experimenting with, and learning recent technologies, participating in internal and external technology communities, and mentoring other members of the engineering community
Mentor other engineers
Consistently share best practices and improve processes within and across teams
Qualifications
Experience developing new and enhancing existing data processing (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) components
Advanced programming experience and big data experience
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, …
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Benefits/Perks401(k) Plan Paid training Paid Training and Licensures Tuition reimbursement
Tasks- Best Practices
- Build scalable, resilient distributed systems
- Communication
- Continuous Improvement
- Data Management
- Designing
- Developing
- Development
- Engage in cross-functional collaboration
- Improve processes
- Lead design sessions and code reviews
- Mentoring
- Mentor other engineers
- Share best practices
- Share best practices and improve processes
- Testing
- Training
Architecture Automation AWS Azure Best Practices Business CI/CD Cloud Collaboration Communication Compliance Cross-functional Collaboration Databricks Data Management Data Modeling Data processing Data Quality Data Solutions Dbt Delta Lake Deployment Design DevOps Docker ELT Engineering ETL Excel Finance Flink Full-stack development GCP Git Grafana HUDI Information systems IT Java Jenkins JSON Kafka Kubernetes Management Microservices Microsoft Monitoring NoSQL OLAP Operations Orchestration Organization Policy Postgres Problem-solving Programming Prometheus Python Redshift REST Scala Snowflake Software Development Spark Spark Streaming SQL Teams Technical Testing Training XML
EducationArchitecture Business Communication Computer Science Education Engineering Environment Equivalent Finance Information Systems IT Management Policy Science