Data Engineer Jobs

About The Position

Requirements

• Graduation from an accredited four-year college or university with a bachelor's degree in computer science or a closely related field, or equivalent combination of education, experience, and training.
• Complete a criminal background check to the satisfaction of the employer.
• Proficiency in SQL and Python for data manipulation, analysis, and pipeline scripting.
• Hands-on experience with modern cloud data platforms such as Snowflake, Databricks, or Azure.
• Deep understanding of relational databases, data modeling, and core ETL/ELT pipeline design.
• Experience with Microsoft 365, particularly Copilot, Copilot Studio, or advanced AI agentic and workflow automation tools.
• Experience designing, validating, and optimizing data architectures to align with business requirements.
• Competency building intuitive dashboards and operational data visualizations using Power BI or Tableau.
• Proactive problem-solving and initiative on complex issues, including providing sound technical recommendations in a fast-paced environment.
• Strong technical communication skills and ability to collaborate effectively across data, AI, and multidisciplinary teams or agencies.

Nice To Haves

• Interest or experience working within the public sector or handling large-scale, highly structured data environments.
• Bilingual ability in English and another language is encouraged.

Responsibilities

• Develop rapid innovation prototypes, automation scripts, and automated workflows to solve practical business problems.
• Design and maintain optimized ETL/ELT pipelines within Snowflake using frameworks such as Apache Airflow or Azure Data Factory.
• Monitor, tune, and manage central database engines across on-premises SQL Server, Azure cloud platforms, and Snowflake.
• Deploy enterprise business intelligence tools and interactive dashboards using Power BI or Tableau, with advanced SQL and DAX.
• Configure and deploy centralized AI systems and machine learning platforms using Microsoft Copilot, Copilot Studio, AI Builder, ChatGPT, and Gemini.
• Enforce data governance, security, and ethical controls to help ensure AI systems and data workflows are secure, transparent, and compliant.
• Collaborate with cross-departmental teams, regional partners, and vendors to share technical capabilities, best practices, and system documentation.
• Perform other duties as required to support Innovation Division efforts.