System Engineer, Data Automation and AI

Moxie Pest Control is seeking a skilled and motivated Data/Systems Engineer to join its small, fast-moving Data and Engineering team. The role focuses on building data pipelines, Python automations, and AI agents to eliminate manual work, while supporting SQL Server environments, data quality, monitoring, and cross-functional data solutions.

What you'll do:

• Use Python for data manipulation, task automation, and integration with internal and external data platforms and APIs
• Develop and maintain Python scripts for ETL/ELT processes that move and transform data across systems
• Build Python-based automations that remove manual steps from data and business workflows
• Add automated testing and basic auditing to the data solutions you build
• Partner with teams across the company to spot manual, repetitive work and design automations that streamline or eliminate it
• As you learn the business, grow into designing and building automations and AI agents that create end-to-end, low-touch processes
• Help us build out our automation and AI capabilities on Anthropic's platform — we're early here, so curiosity and a willingness to experiment matter more than a long track record
• Establish sensible standards, monitoring, and guardrails so automations and agents stay accurate, secure, and maintainable
• Build and maintain data pipelines using Dagster to integrate data from a variety of sources
• Help ensure pipelines are reliable, efficient, and scalable, with an emphasis on modular, reusable code
• Troubleshoot and resolve issues related to pipeline performance and data quality
• Contribute to monitoring and alerting for pipeline health and data accuracy

What they're looking for:

• 1 - 3 years of experience in data/systems engineering or a closely related software or automation role
• Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field — or equivalent practical, on the job experience
• Strong programming skills in Python, including data manipulation libraries (e.g., Pandas, NumPy)
• Solid working knowledge of SQL and relational databases
• Hands-on experience building and maintaining data pipelines with an orchestration tool such as Dagster or Apache Airflow
• Experience with version control systems (e.g., Git)
• Strong problem-solving and communication skills, with the ability to work independently and as part of a small team
• Exposure to, or strong interest in, building AI agents and automations (e.g., LLM-based agent frameworks or workflow automation)
• Experience with SQL Server specifically, including performance tuning and stored procedures
• Familiarity with the following Azure services; such as Azure SQL / SQL Server, Function Apps, and Key Vault
• Understanding of data modeling concepts (e.g., relational, dimensional) and data warehousing principles
• Experience integrating APIs into production automations