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

• Collaborate with cross-functional teams to gather data requirements. • Design, develop, and maintain scalable data pipelines integrating data from product databases and SaaS platforms. • Build ingestion pipelines into Bronze, cleansing and conforming logic in Silver, and governed Gold-layer models in dbt. • Optimize pipelines for performance, cost efficiency, and data quality. • Design and implement data models and schemas for business requirements, warehousing, and reporting. • Ensure consistency and integrity across data storage systems. • Develop and maintain ETL processes. • Monitor pipeline SLAs and data integration processes; troubleshoot production issues and incidents. • Collaborate with data source owners to ensure data availability and quality. • Implement data-quality controls and validation processes. • Partner with product, GTM, AI stakeholders, analysts, and external customers to enable data products, direct access, embedded BI, and curated exports. • Maintain catalog and lineage metadata. • Provide technical support and expertise in data engineering tools and technologies. • Contribute to API-based SaaS connectors, AI-consumable dataset design, and lakehouse cost/performance tuning. • Continuously improve data engineering practices and stay current with industry trends.

🎯 Requirements

• Bachelor's degree in computer science, Engineering, or a related field. • Three 3-10+ in data engineering, data warehousing, and ETL processes. • Proficiency in Python and SQL. • Experience with AWS data services, particularly S3, Glue, and Athena. • Hands-on experience with dbt for data transformation and modeling. • Knowledge of data lakehouse patterns and medallion architecture (Bronze/Silver/Gold layers). • Experience with Infrastructure as Code tools, specifically Terraform. • Experience with relational and NoSQL databases. • Understanding of AI and machine learning concepts, with the ability to prepare and structure data for AI-driven products. • Fluent in English and French, verbally and in writing. • Authorized to work in Canada; work visa or transfer sponsorship is unavailable. • Strong problem-solving, analytical, communication, interpersonal, and customer-satisfaction skills. • Detail-oriented. • Ability to work independently and as part of a team in a fast-paced environment.

🏖️ Benefits

• Equal opportunity employer • Inclusive and equitable workplace • Pay equity commitment and regular compensation-practice reviews • Remote work arrangement

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