Senior Engineer- Data Efficiency/Datalakehouse

Geico Insurance•Chevy Chase, MD

66d•$105,000 - $215,000

About The Position

GEICO is seeking an experience engineer who will lead the technical onboarding of new data use cases and business initiatives to Blaise (GEICO's Data Lakehouse) to unify data into a single scalable, secure, multi-tenant platform providing multiple interfaces to access and query data for users. They will collaborate with stakeholders to understand data requirements, design and implement scalable data ingestion and transformation pipelines, and ensure integration with the existing Lakehouse architecture. Our Senior Engineer works with Staff Engineers to innovate and build new systems, improve and enhance existing systems and identify new opportunities to apply your knowledge to solve critical problems. You will lead the strategy and execution of a technical roadmap that will increase the velocity of delivering products and unlock new engineering capabilities. The ideal candidate has deep technical expertise as this project has a direct impact on business saving on storage and compute costs,

Requirements

4+ years of experience in data engineering, data warehousing, or a related data-focused discipline, with a focus on data ingestion and onboarding.
Experience working with data technologies such as SQL, Python, PySpark, Spark, Scala, JSON, Kafka, DBT (Data Build Tool), Iceberg, Snowflake, Airflow, ADO and Azure Data Factory (ADF) are preferred
Experience building and operating data pipelines using technologies like Apache Spark, Flink, Kafka, etc.
Hands-on experience with cloud data platforms, such as AWS, Azure, or GCP, and their respective data services.
Experience with data lakehouse technologies (e.g., Delta Lake, Apache Hudi, Apache Iceberg).
Proficiency in programming languages such as Python, Scala, or Java.
Experience with SQL and data modeling techniques.
Strong understanding of data governance, security, and compliance principles.
Excellent communication, collaboration, and problem-solving skills.
Ability to work independently and manage multiple projects simultaneously in a fast-paced environment.
Experience with CI/CD pipeline setup with best practices. Azure DevOps (ADO) is preferred
4+ years of professional software development or production support experience, preferably with data pipelines and data ingestion and transformation
3+ years of experience with AWS, GCP, Azure, or another cloud service
2+ years of experience in open-source frameworks

Responsibilities

Team up with Tech leads, Managers, work in an Agile environment to tackle organization wide goals centered on Data Efficiency.
Lead the technical onboarding of new data use cases and projects to the Lakehouse platform, working with data scientists, analysts, and business teams.
Design, build, and optimize scalable data pipelines (ETL/ELT) for ingesting and transforming data into the Lakehouse.
Collaborate with data producers and consumers to define data requirements, data models, and transformation logic.
Troubleshoot and resolve technical issues related to data ingestion, processing, and consumption within the Lakehouse.
Collaborate with platform engineers to implement infrastructure improvements to support new use cases and optimize platform performance.
Mentor junior engineers and contribute to knowledge sharing within the team and across the organization.
Stay at the forefront of emerging identity trends, technologies, and best practices, and apply this knowledge to enhance GEICO's data protection strategies

Benefits

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being.
Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.
Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.

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