Posting record
Open 10+ days
- Snipebridge's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Snipebridge, so its true age is longer.
Last checked Nov 1, 2026.
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Upload your resumeWhat it asks of you
- Bachelor's degree asked for
- Equivalent experience accepted instead of a degree
What the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
SNIPEBRIDGE is a strategic talent solutions company specializing in connecting exceptional talent to great career opportunities. We work as an exclusive partner to leading AEC and technology organizations that are advancing the built environment through innovation, technical rigor, and transformative work.
COMPANY
Our client operates within the fast-moving data center and digital infrastructure sector, where engineering, construction, technology, energy, and operations come together to support always-on environments. Its multidisciplinary teams plan, design, deliver, and operate complex facilities with a strong focus on reliability, safety, scalability, and efficient use of power and cooling. The work calls for close coordination across technical disciplines and offers the opportunity to contribute to infrastructure that supports the continued growth of cloud computing, AI, and connected services.
THE OPPORTUNITY
The Senior Data Engineer will build the trusted data foundation used to understand infrastructure performance, capacity, energy, maintenance, and business operations. The role combines hands-on engineering with architecture and partnership, turning data from multiple operational systems into reliable, governed, and usable products.
KEY RESPONSIBILITIES
- Design, build, test, and operate scalable batch and streaming data pipelines
- Integrate data from operational technology, monitoring, asset, energy, financial, and enterprise platforms
- Develop curated data models and reusable datasets for analytics, reporting, forecasting, and machine learning
- Establish data-quality checks, observability, lineage, documentation, and incident-response practices
- Optimize storage, orchestration, query performance, reliability, and cloud cost
- Partner with analysts, software engineers, operations leaders, and subject-matter experts to define data products
- Review code, mentor engineers, and improve engineering standards and deployment practices
- Apply security, privacy, access-control, and governance requirements throughout the data lifecycle
REQUIREMENTS
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience
- 6+ years of data engineering, analytics engineering, or backend platform experience
- Advanced SQL and Python skills with experience building production-grade pipelines
- Experience with a major cloud platform and modern data services, warehouses, or lakehouse technologies
- Working knowledge of orchestration, transformation, version control, CI/CD, testing, and data observability
- Experience with Spark, Databricks, Kafka, dbt, Airflow, or comparable technologies preferred
- Strong system-design, troubleshooting, documentation, and stakeholder communication skills
All applicants must be legally authorized to work in the United States without sponsorship and must already possess long-term work authorization.
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