GEICO's Independent Agent organization runs an enterprise-scale messaging automation platform that powers customer email and SMS across sales, service, and claims journeys. We're looking for a hands-on data/software engineer to build the instrumentation and event pipelines that feed campaign and journey triggers - especially where the data doesn't exist yet. You'll work directly with CRM/marketing automation engineering and campaign operations teams to make audience and event data available, reliable, and easy to use.

What you'll build

• Instrumentation and event pipelines that generate audience/trigger data for CRM and marketing automation platforms where it doesn't already exist
• Batch and streaming ETL/ELT pipelines connecting campaign, CRM, and customer data across multiple sources
• REST API integrations between internal data systems and CRM/marketing automation platforms
• Data quality checks and monitoring to keep campaign-critical pipelines reliable at scale

What you'll bring

• 7+ years building data tools/pipelines in Python, Scala, or similar languages
• 7+ years working in SQL against enterprise data warehouses (Snowflake, Databricks, or similar)
• 5+ years building ETL/ELT pipelines (batch or streaming) from files, databases, and APIs
• 5+ years working with cloud infrastructure (Azure, AWS, or GCP) and DevOps practices
• Comfort integrating systems via REST APIs
• BA/BS in Computer Science, Information Technology, Mathematics, Engineering, or related field

How you'll work

• Strong organizational and prioritization skills; comfortable following complex, multi-step instructions and resolving conflicting priorities
• Able to juggle multiple concurrent projects without losing track of details
• Quick to pick up new technical concepts and adapt to new tools and technologies
• Familiar with infrastructure tooling and able to work within established engineering standards and processes
• Comfortable mentoring or training teammates on systems you own
• Clear, concise communicator — able to explain technical work to both engineering and business stakeholders
• Comfortable working under pressure and shifting priorities in a fast-paced environment

Nice to have

• Hands-on experience with CRM/marketing automation SaaS platforms (e.g., Microsoft Dynamics, Statsig, Azure Data Factory, Snowflake)
• Exposure to AI-assisted development tools

#LI-HB1

Annual Salary

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.