GEICO · 12 hours ago
Senior Engineer- Data Efficiency/Datalakehouse
Chevy Chase, MD
Full-time
Onsite
Mid, Senior Level
$105K/yr - $215K/yr
4+ years expGEICO is a company that offers a rewarding career with endless possibilities. They are seeking a Senior Engineer to lead the technical onboarding of new data use cases and business initiatives to their Data Lakehouse, collaborating with stakeholders to design and implement scalable data solutions.
Auto InsuranceFinancial ServicesGovernmentInsuranceInternetMobile
No H1B
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
Qualification
Required
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
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
Bachelor's Degree in Computer Science, Information Systems, or equivalent education or work experience
Preferred
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)
Experience with CI/CD pipeline setup with best practices. Azure DevOps (ADO) is preferred
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.
Company
GEICO
GEICO, Government Employees Insurance Company, has been providing affordable auto insurance since 1936. It is a sub-organization of Berkshire Hathaway.
10001+ employees
Funding
Current Stage
Late StageTotal Funding
unknown1996-01-01Acquired
Leadership Team
Todd Combs
Chairman, President, and Chief Executive Officer
Clayton Johnson
Sr. Director of Product Management
Recent News
2026-01-24
Company data provided by crunchbase