GEICO · 2 months ago
Senior Engineer - Data Analytics & Engineering
Chevy Chase, MD
Full-time
Hybrid
Mid, Senior Level
$100K/yr - $215K/yr
6+ years expGEICO is a leading insurance company offering quality coverage to millions of customers. They are seeking a Senior Data Engineer to build and maintain robust data systems that enhance their analytics capabilities while driving innovation and best practices.
Auto InsuranceFinancial ServicesGovernmentInsuranceInternetMobile
Responsibilities
Team up with Tech leads, Managers, work in an Agile environment to tackle organization wide goals centered on Data Engineering and Analytical Reporting
Scope, design, and build scalable, resilient distributed systems
Utilize programming languages like Python, SQL, and NoSQL databases, along with Apache Spark for data processing, dbt for data transformation, container orchestration services such as Docker and Kubernetes, and various Azure tools and services
Collaborate with data producers and consumers to define data requirements, data models, and transformation logic
Use your technical expertise to shape product definitions and drive towards optimal solutions
Troubleshoot and resolve technical issues related to data ingestion, processing, and consumption within the Snowflake
Engage in cross-functional collaboration throughout the entire development lifecycle
Lead in design sessions and code reviews with peers to elevate the quality of engineering across the organization
Define, create, and support reusable data components and patterns that align with both business and technology requirements
Build a world-class analytics platform to satisfy reporting needs
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
Consistently share best practices and improve processes within and across teams
Qualification
Required
6+ 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
Experience with SQL and data modeling techniques. Proficiency in programming languages such as Python, Scala, or Java
Experience with Apache Iceberg for managing large-scale tabular data is a plus
Experience with orchestration tools such as Apache Airflow or similar technologies to automate and manage complex data pipelines
Experience with business intelligence tools (Power BI or Superset preferred)
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) is a plus
Advanced understanding of DevOps concepts including Azure DevOps framework and tools
Experience architecting and designing new and current systems
Experience with CI/CD to ensure smooth and continuous integration and deployment of data solutions
Advanced PowerShell scripting skills
Advanced understanding of monitoring concepts and tooling
Advanced understanding of security protocols and products
Knowledge of developer tooling across the data development life cycle (task management, source code, building, deployment, operations, real-time communication)
Strong problem-solving ability
Strong understanding of data governance, security, and compliance principles
Ability to excel in a fast-paced environment
Excellent communication, collaboration, and problem-solving skills
Ability to work independently and manage multiple projects simultaneously in a fast-paced environment
+ 6+ years of professional software development experience with SQL, Spark and Databricks
+ 4+ years of professional experience in data engineering, programming languages, production support experience, preferably with data pipelines and data ingestion and transformation
+ 3+ years of experience with architecture and design of Data Warehousing concepts
+ 3+ years of experience with AWS, GCP, Azure, or another cloud services
+ 3+ years of experience in open-source frameworks
Bachelor's degree in computer science, Information Systems, or equivalent education or work experience
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
H1B Sponsorship
GEICO has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (128)
2024 (277)
2023 (338)
2022 (212)
2021 (148)
2020 (205)
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
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