Senior Engineer - Data & Platform Engineering

GEICO•Austin, MD

About The Position

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. 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 . Within the Data Analytics and Vertical Engineering team, you will design and development of state-of-the-art automated solutions to replace manual Platform administrative tasks as well a s build data pipelines, models, and reports, transforming vast datasets that reach up to multiple terabytes in size, while championing innovation, best practices, co-creating the culture of psychological safety and continuous improvement. Position Description As a Senior Engineer, you will work to provide excellent user experience for our internal stakeholders across the organization 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 architecting scalable automation frameworks, software/API development, Platform functionality/process enhancements, driving governance strategy, influencing enterprise-wide best practices for administration, observability and compliance to data processing, dimensional data mode ling and reporting .

Requirements

Advanced programming experience and big data experience within Python, SQL, DBT, Spark, Kafka, Git, Containerization (Docker and Kubernetes)
Advanced experience with Data Warehouses, OLAP, dimensional modeling and analytics
Advanced knowledge of business intelligence tools (strong preference for Power BI) and/or ETL tools (strong preference for SSIS or DBT)
Familiarity with understanding SQL concepts (such as MPP-based, No-SQL, Cloud WH)
Experience architecting and designing new ETL and BI systems and supporting existing s ystems
Proven expertise in PowerShell scripting, Power BI REST APIs, Graph API, and automation frameworks.
Deep knowledge of Power BI administration (workspaces, capacities, security, governance) and Power Platform administration (environments, Dataverse, flows, apps).
Experience architecting CI/CD pipelines for Power BI and Power Platform solutions (Azure DevOps or GitHub).
Strong understanding of identity, access management, and compliance in Microsoft 365 and Azure AD.
Advanced understanding of DevOps concepts including Azure DevOps framework and tools
Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication)
Advanced understanding of monitoring concepts and tooling with s trong problem-solving ability
4 + years of professional data/analytics/database engineering, programming languages and developing with big data technologies
3 + years of experience with data architecture and design especially Data Warehousing concepts
3 + years of experience with AWS, GCP, Azure, or another cloud service
3+ years of professional software development experience with SQL-based technologies
3+ years of experience with BI and ETL tools
2 + years of experience in open-source frameworks , Big-data tools like Spark and Databricks

Nice To Haves

Experience with Apache Iceberg for managing large-scale tabular data in data lakes is a plus
Experience with enterprise orchestration tools such as Airflow is preferred
Experience with Power Platform and multiple data domains is preferred
Experience with front end development using REACT/ Javascript is a plus
2+ years of experience with Microsoft Fabric/Azure Data Factory preferred

Responsibilities

Scope, design, and build scalable, resilient distributed systems
Utilize a range of technologies for data processing, reporting, and automation, including Python, SQL, NoSQL, DBT, Apache Spark, Docker , Kubernetes and Azure tools.
Develop high-quality, accurate data visualizations and reports using tools like Power BI and Apache Superset to support data-driven business decisions.
Define and implement automation strategies for administrative and governance tasks across Power Platform and Power BI.
Design and build scalable automation solutions using PowerShell, REST APIs (Power BI, Graph API), and CI/CD pipelines.
Lead automation initiatives for user provisioning, license management, dataset refreshes, workspace lifecycle, and monitoring platform health and adoption trends.
Lead in design sessions and code reviews with peers to elevate the quality of engineering across the organization
Collaborate with cross-functional teams, including security , compliance, and data governance to align solutions with enterprise policies , integrate automation with enterprise systems (Azure DevOps, ServiceNow, Microsoft 365, etc.) and enforce governance frameworks for environment lifecycle, access, and compliance.
Develop enterprise-wide standards for monitoring, auditing, and reporting. Provide executive- level reporting and insights on platform health, compliance, and adoption trends.
Mentor other engineers
Consistently share best practices and improve processes within and across teams

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.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume