Data Engineer

🕒 September 18

🇨🇦 Canada – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 21%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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SOVRA

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🏛️ Government

☁️ SaaS

🏪 Marketplace

Government • SaaS • Marketplace

SOVRA is a purpose-built procurement platform that connects government buyers and suppliers across North America. The company offers a SaaS marketplace and suite of tools to manage the public procurement lifecycle — intake and request creation, solicitation authoring and distribution, proposal management, evaluation and selection, and contract creation and lifecycle management — while emphasizing transparency and compliance. SOVRA powers Bidnet Direct, Merx and Ontopical marketplaces, reports over 1 million active vendors, $22 billion in solicitations awarded in 2025, and thousands of public entities using its solutions daily.

📋 Description

• Design, develop, and maintain ingestion pipelines from source systems to the Bronze layer • Clean, standardize, and consolidate data in the Silver layer • Model Gold-layer datasets using dbt • Collaborate with Product, Go-to-Market (GTM), and Artificial Intelligence teams to transform business needs into data products • Support external clients with data access, Embedded BI dashboards, and data exports • Track pipeline SLAs, resolve production incidents, and perform data quality checks • Maintain catalog and data lineage metadata • Respond to regulatory requests, provide audit evidence, and support incident investigations • Implement new ingestion mechanisms, including API-based SaaS connectors and data streams • Design datasets optimized for artificial intelligence applications • Optimize lakehouse platform costs and performance • Design and maintain ETL processes, data models, and schemas • Monitor integration processes and collaborate with data source owners • Provide technical support and continuously improve data engineering practices

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field • 3+ years of experience in data engineering, data warehousing, and ETL processes • Proficiency in Python and SQL • Experience with AWS data services, including S3, Glue, and Athena • Hands-on experience with dbt (data build tool) for data transformation and modeling • Knowledge of data lakehouse architectures and the medallion architecture (Bronze/Silver/Gold layers) • Experience with Terraform and Infrastructure as Code (IaC) tools • Experience with relational and NoSQL databases • Authorized to work in Canada • Strong problem-solving, analytical, and communication skills • Strong attention to detail • Ability to work independently and as part of a team in a dynamic environment • Strong communication and interpersonal skills, with a focus on customer satisfaction

🏖️ Benefits

• Inclusive and equitable workplace • Equal opportunity employer • Workplace free from discrimination and harassment • Commitment to pay equity • Remote work

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