Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Data Engineer
1010-Corporate Offices WCI
Live, first seen by us 21 days ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingWaste 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.
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
From the employer’s posting
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.
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.
What you’ll bring
All qualificationsCore experience
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
- Experience with Apache Spark, Delta Lake, and large-scale data platforms.
- 2+ years of experience in Data Engineering, Cloud Engineering, or a related technical role.
- Experience with Terraform, Infrastructure-as-Code, and cloud automation.
- Experience with AWS, Databricks, Python, and SQL.
- Familiarity with business intelligence and analytics environments.
Qualification wording
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
Experience with Apache Spark, Delta Lake, and large-scale data platforms.
2+ years of experience in Data Engineering, Cloud Engineering, or a related technical role.
Experience with Terraform, Infrastructure-as-Code, and cloud automation.
Experience with AWS, Databricks, Python, and SQL.
Familiarity with business intelligence and analytics environments.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 14, 202621 days ago
- Recorded sightings
- 60
- Last seen by us
- Nov 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 21
Similar jobs usually come down between day 6 and day 54.
From 11,032 similar postings that came down. Coming down is not always a hire.
Waste Connections is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Databricks
- Delta Lake
- Spark
- Terraform
Where the posting names them
Key Responsibilities - Design, develop, and maintain scalable data pipelines using Databricks, Python, Spark, and SQL. - Build and support enterprise data lakehouse solutions on AWS.
- 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.
- 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.
- 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.
Preferred - Experience with Apache Spark, Delta Lake, and large-scale data platforms. - Experience with Terraform, Infrastructure-as-Code, and cloud automation.
- 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.
Your next step
Complete your application on wasteconnections.wd1.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job 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.
Source details
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- Location & working pattern
1010-Corporate Offices WCI
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