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Intellibee Inc Logo

Automation Data Engineer

Intellibee Inc

Salary not specified
Nov 8, 2025
Lewisville, TX, United States of America
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Identify automation opportunities in manual or high-effort areas (e.g., reporting, data validation, system monitoring) and translate business needs into efficient, automated workflows.

Requirements

  • Strong proficiency in Python for automation and data workflows
  • Experience with Snowflake and SQL for data transformation
  • Hands-on experience with Power BI for dashboards and reporting
  • Proven proficiency in at least one scripting/automation language - Python is required for building data pipelines and automating workflows.
  • Experience working with data in Snowflake (SQL + Python) to transform raw inputs into usable datasets.
  • Hands-on experience creating reports and dashboards using Power BI, including handling complex or unstructured source data.
  • Experience automating business processes using Power Automate or similar tools (e.g., UIPath, Automation Anywhere).

Responsibilities

  • Design and implement automated workflows using: Python for ETL, API calls, log analysis, and rule-based actions
  • Power Automate to automate business processes (e.g., data ingestion, status updates, approval routing)
  • Snowflake to clean, model, and store data for automation pipelines
  • Power BI to create dynamic dashboards that visualize system health, process performance, and operational metrics
  • Take ownership of existing automation workflows during onboarding - including inherited scripts, dashboards, and processes.
  • Collaborate with IT teams for access, security reviews, and compliance requirements.
  • Troubleshoot issues in automated systems - diagnosing root causes in data flow, logic, or integration points.

Other

  • Ability to partner with business teams to identify automation opportunities
  • Excellent communication and documentation skills
  • 2–5 years of relevant experience in business analysis and automation
  • Bachelor’s degree in Business, Information Systems, Finance, or related field (or equivalent experience).
  • Proven experience working directly with business teams to understand needs, define automation opportunities, and deliver solutions - including ongoing maintenance, refinement, and support.