AI-Driven Data Automation Engineer

Moxie Pest Control; Irving (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

Moxie Pest Control is seeking a Data/Systems Engineer to join a small, fast-moving Data and Engineering team. You will work hands-on with data pipelines, Python automations, and AI agents to reduce manual work and improve processes.

You'll collaborate with the BI team on Power BI and Microsoft Fabric, building scalable pipelines and maintaining data quality while growing ownership of database tasks and automation.

Qualifications

• 1–3 years in data/systems engineering or related role.
• Bachelor's degree in Computer Science, Data Science, Information Technology, or related field.
• Strong programming skills in Python, including Pandas/NumPy.
• Solid working knowledge of SQL and relational databases.
• Hands-on data pipelines with Dagster or Apache Airflow.
• Experience with Git version control.
• Strong problem-solving and communication skills.

Responsibilities

• Python scripting for data manipulation, automation, and integration with data platforms and APIs.
• Develop and maintain Python ETL/ELT processes across systems.
• Build automations to remove manual steps in data and business workflows, with testing and auditing.
• Design automations and AI agents that streamline processes and reduce manual work.
• Develop and maintain data pipelines with Dagster to integrate diverse data sources.
• Work in SQL Server environment, optimizing queries and supporting day-to-day DB tasks.
• Collaborate with BI team for Power BI and Microsoft Fabric handoffs; document designs and processes.

Skills

Python

Pandas

NumPy

Problem solving

Education

Bachelor's degree in CS/IT/DS

Tools

Dagster

Apache Airflow

Git

Azure

Job description

Moxie Pest Control is seeking a Data/Systems Engineer to join a small, fast-moving Data and Engineering team. You will work hands-on with data pipelines, Python automations, and AI agents to reduce manual work and improve processes.

You'll collaborate with the BI team on Power BI and Microsoft Fabric, building scalable pipelines and maintaining data quality while growing ownership of database tasks and automation.