System Engineer - Automation

Responsibilities

• Python Scripting and Automation: 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.
• Add automated testing and basic auditing to the data solutions you build.
• Automation and AI Agents: Partner with teams across the company to spot manual, repetitive work and design automations that streamline or eliminate it.
• 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.
• Collaboration and Communication: Work closely with the Business Intelligence team where pipelines feed Power BI and our Microsoft Fabric environment (owned by BI), keeping those handoffs clean.
• Collaborate with teams across the company to understand their data needs and deliver solutions that fit.
• Document your designs, processes, and solutions, and keep your work tracked — priorities here can shift quickly, so staying organized matters.

Requirements

• 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.

Preferred Qualifications

• 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.
• Experience with CI/CD pipelines for data solutions.
• Knowledge of data security best practices and compliance standards.

Nice To Have Qualifications

• Exposure to Anthropic's platform (Claude Developer Platform) or other agent frameworks and prompt engineering.
• Experience with other database systems (e.g., Postgres, Snowflake, Google BigQuery, AlloyDB).
• Experience with other cloud platforms (e.g., AWS, Google Cloud).
• Familiarity with data science concepts and machine learning workflows.
• Experience with Microsoft Fabric or Power BI (you'll partner with our BI team on these).

About Us

Moxie Pest Control is on the lookout for dedicated individuals to join our dynamic team as TAP Insulation Installers. This is a fantastic opportunity for those who appreciate hands-on work and are eager to build a rewarding career in pest control and home services.