Data Engineer

This is a remote position.

A public sector organization is seeking an experienced Data Engineer to support a large-scale initiative modernizing environmental and natural resource regulatory processes.

The Data Engineer will design, develop, maintain, and support enterprise data integration, ETL/ELT, and data pipeline solutions using Talend, SQL, Azure, and relational databases.

Requirements

• Design, develop, test, and support enterprise data integration and ETL/ELT solutions using Talend.
  
• Build data mappings, transformations, reconciliation processes, and reusable integration components.
  
• Develop and optimize SQL queries, stored procedures, and database processes using SQL Server, Oracle, or PostgreSQL.
  
• Administer and support Talend Management Console (TMC) and Talend Remote Engine.
  
• Schedule, monitor, troubleshoot, and resolve production data pipeline and integration issues.
  
• Develop scalable batch and near-real-time data pipelines.
  
• Design and integrate REST APIs using Azure API Management.
  
• Support data quality, governance, metadata, lineage, security, and data privacy requirements.
  
• Work across development, testing, and production environments following established SDLC practices.
  
• Collaborate with data engineers, architects, business stakeholders, platform teams, and vendors.
  
• Leverage AI and automation tools for code generation, testing, data analysis, documentation, and pipeline optimization.
  

Required Qualifications

• Post-secondary degree, diploma, or certificate in Computer Science, Engineering, or a related field.
  
• 3+ years of experience designing, developing, testing, and supporting enterprise data integration solutions.
  
• 3+ years of experience with Talend Management Console/Talend Administration Center.
  
• 3+ years of experience installing, configuring, supporting, and troubleshooting Talend Remote Engine.
  
• 2+ years of production support experience for enterprise integration solutions.
  
• 4+ years working within a mature Software Development Lifecycle (SDLC).
  
• 1+ year of experience using AI for code generation, data analysis, automation, or development productivity.
  

Preferred Qualifications

• 6+ years of experience in business/data requirements analysis.
  
• 6+ years of strong Microsoft SQL Server experience.
  
• Experience building scalable ETL pipelines, implementing data quality, and working with cloud platforms.
  
• 3+ years of experience integrating RESTful APIs.
  
• 3+ years of experience with message queuing technologies.
  
• Experience with ServiceNow and Azure-based data management integrations.
  
• Experience with data governance, metadata management, data classification, and data lineage.