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Waste Connections

Data Engineer

Waste Connections United States

Environmental Services · 10,001+ employees

Oct 14
data-engineer Mid (2-5 yrs) Full-time United States
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About the role

Design, build, and maintain scalable data pipelines and AWS-based lakehouse solutions, integrating data from internal and external sources. Ensure data quality, security, governance, performance, and cost efficiency while supporting analytics and reporting through collaboration with cross-functional teams.

What they look for

Databricks Python Apache Spark SQL AWS Data Pipeline Development ETL/ELT Data Integration Data Modeling Data Governance Delta Lake Terraform Infrastructure As Code CI/CD Cloud Automation Data Quality

Requirements

Requires a bachelor's degree in a relevant field and at least two years of experience in data engineering, cloud engineering, or a related technical role. Candidates should have experience with AWS, Databricks, Python, SQL, ETL/ELT pipelines, modern data architectures, and data modeling, integration, and governance.

Full 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

  • 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.

Qualifications

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.

Preferred

  • 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.

Waste Connections is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to disability or protected veteran status.

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