CI/CD
Terraform
Automation
Governance
Databricks
Scalability
Data Quality
Apache Spark
Communication
Data Modeling
Collaboration
Data Pipelines
Data Lakehouse
Problem Solving
Decision Making
Data Governance
Data Processing
Computer Science
Data Integration
Data Engineering
Cloud Automation
Cloud Engineering
Business Objectives
Systems Engineering
Amazon Web Services
Business Intelligence
SQL (Programming Language)
Extract Transform Load (ETL)
Infrastructure as Code (IaC)
Python (Programming Language)
Troubleshooting (Problem Solving)
At least 2 years
Salesforce Developer
Posted 9 days ago
Description:
Data Engineer
About the Role
Waste Connections is seeking a talented Data Engineer to join our Enterprise Data & Analytics team.
This role is responsible for designing, building, and supporting modern cloud-based data solutions that enable reporting, analytics, and business decision-making across the organization. The ideal candidate will have experience developing scalable data pipelines, integrating data from multiple sources, and optimizing cloud data platforms.
You will work closely with business stakeholders, analysts, architects, and engineering teams to deliver reliable data products and help expand Waste Connections' data capabilities.
Key Responsibilities
Required
About the Role
Waste Connections is seeking a talented Data Engineer to join our Enterprise Data & Analytics team.
This role is responsible for designing, building, and supporting modern cloud-based data solutions that enable reporting, analytics, and business decision-making across the organization. The ideal candidate will have experience developing scalable data pipelines, integrating data from multiple sources, and optimizing cloud data platforms.
You will work closely with business stakeholders, analysts, architects, and engineering teams to deliver reliable data products and help expand Waste Connections' data capabilities.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using Databricks, Python, Spark, and SQL.
- Build and support enterprise data lakehouse solutions on AWS.
- Integrate and transform data from multiple internal and external sources.
- Ensure data quality, reliability, security, and governance standards are met.
- Optimize data processing workloads for performance and cost efficiency.
- Develop and maintain data models that support reporting and analytics initiatives.
- Implement CI/CD processes, automation, and Infrastructure-as-Code practices.
- Monitor and troubleshoot data pipelines and platform performance issues.
- Collaborate with cross-functional teams to deliver data solutions that support business objectives.
Required
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
- 2+ years of experience in Data Engineering, Cloud Engineering, or a related technical role.
- Experience with AWS, Databricks, Python, and SQL.
- Experience building and supporting ETL/ELT pipelines and modern data architectures.
- Understanding of data modeling, data integration, and data governance concepts.
- Strong analytical, problem-solving, communication, and collaboration skills.
- Experience with Apache Spark, Delta Lake, and large-scale data platforms.
- Experience with Terraform, Infrastructure-as-Code, and cloud automation.
- Familiarity with business intelligence and analytics environments.
- AWS, Databricks, or related cloud certifications.
Posting ID: WCGWCUUSR104678EXTERNALENUS