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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Engineer II - Data Engineer - **Company:** GEICO - **Location:** Palo Alto, CA, United States - **Experience:** Experienced - **Salary:** $75,000.0 - $260,000.0 - **Contract:** Internship / Graduate position - **Skills:** Sql Data Warehouse, Adobe InDesign, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Cloud Database, Software Quality, Code Review, Collaborative Software, Information Systems, Continuous Availability, Continuous Delivery, Continuous Integration, Directed Acyclic Graph (Directed Graphs), Information Engineering, Extract Transform Load (ETL), Data Systems, Data Warehousing, Cursor (Graphical User Interface Elements), Software Debugging, Programming Tools, Electronic Data Interchange (EDI), JSON, Python (Programming Language), Systems Development Life Cycle, Software Engineering, SQL Databases, Extensible Markup Language (XML), Datadog, Data Logging, Data Processing, Scripting, Google Cloud, GitHub Copilot, Delivery Pipeline, Snowflake, Backend, Git, Information Technology, Maintaining Code, Software Version Control, Data Pipelines - **Published:** May 26, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=3de4614253463977 ## About the Role Do you have experience in SQL?, Do you have a Bachelor's degree?, * Strong hands-on experience with SQL, dbt and Python for data transformation and pipeline automation. * Proven understanding of data pipeline architecture (batch workflows, idempotency, data quality, error handling, backfills) and how pipelines interface with a warehouse-centric analytics stack. * Experience contributing to the architecture and design of data systems (layering, modeling patterns, reliability, scaling, cost awareness). * Working knowledge of structured data interchange (e.g., JSON, XML/CSV as sources), APIs, and file-based ingestion patterns as used in analytics pipelines. * Solid grounding in computer science fundamentals (e.g., complexity, joins, partitioning concepts) applied to data processing. * Experience with Git tools and standard branching/review workflows. * Familiarity with cloud data and orchestration services (e.g., Snowflake and managed Airflow or equivalent). * Experience with continuous delivery and Infrastructure as Code for pipeline repos or supporting infrastructure. * Strong oral and written communication skills. * Strong problem-solving and debugging skills across SQL, logs, and orchestration failures. * Practical experience working in an Agile environment. * Ability to deliver in a fast-paced, priority-driven setting. * Knowledge of developer tooling across the SDLC (task management, source control, build/deploy, operations, collaboration tools) including AI-assisted IDEs used responsibly alongside dbt and Airflow workflows., * 2+ years of non-internship professional experience in data engineering, software engineering with a data focus, or equivalent. * 2+ years contributing to design and architecture of data pipelines or analytics data products (models, DAGs, warehouse objects). * 2+ years building and operating ETL/ELT or transformation-heavy systems using SQL-centric tooling (required: dbt or equivalent transform discipline; Airflow or comparable orchestration). * 2+ years with AWS, GCP, Azure, or comparable cloud platforms in a data or backend context. Education: * Bachelor's degree in Computer Science, Information Systems, or equivalent education or work experience ## Description GEICO is looking for an experienced engineer who enjoys building fast, reliable platforms and applications that are easy to operate and designed for continuous availability. In this role, you will help advance our insurance business as we evolve into a technology organization grounded in engineering excellence. This role supports our Finance Data Warehouse., As an Engineer II, you will be an important part of our FinTech organization, to uphold strong standards for data protection, reliability, and availability. Our team succeeds by shipping high-quality technology products and services in a high-growth setting where priorities can change quickly. We are looking for someone with broad technical depth, comfortable across the stack from user-facing experiences through backend and data systems and the integrations that connect them., As an Engineer II - Data Engineer, you will: * Scope, design, and build scalable, resilient data pipelines (orchestration, transformation, delivery) that support analytics and downstream products. * Use modern developer tooling effectively, including AI-assisted coding (e.g., Cursor, GitHub Copilot) to accelerate delivery while maintaining code review, testing, and governance (no secrets in prompts or code, repo-aligned patterns). * Engage in cross-functional collaboration across the full data lifecycle with analysts, platform engineers, and product partners from requirements through production support. * Participate in design sessions and code reviews with peers to improve correctness, performance, security, and operability of data systems. * Define, create, and support reusable pipeline patterns and standards (e.g., layering, testing, incremental design, naming, documentation) from both business and technology perspectives. * Leverage AI models to create SQL and Python, dbt (models, tests, macros, incremental strategies), Apache Airflow (DAGs, dependencies, backfill/retry patterns), cloud data warehouse platforms (e.g., Snowflake), and related integration patterns; then leverage their expertise to review and improve code quality. * Execute delivery using an Agile methodology, continuous integration/continuous delivery, Infrastructure as Code where applicable, scripting for automation, platform consoles for warehouse and orchestration, and observability tooling (logging, metrics, alerting-for example dashboards and APM where used). * Build pipeline definitions and apply strong technical judgment to choose and implement solutions that balance latency, cost, freshness, and reliability. * Share best practices and improve processes within and across teams., Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. * 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. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Debugging in the Dark](https://www.wearedevelopers.com/videos/1658-debugging-in-the-dark) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Software Engineering Social Connection: Yubo’s lean approach to scaling an 80M-user infrastructure](https://www.wearedevelopers.com/videos/1583-software-engineering-social-connection-yubo-s-lean-approach-to-scaling-an-80m-user-infrastructure) - [Introducing JSON Structure](https://www.wearedevelopers.com/videos/100219-introducing-json-structure) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)