Data Engineer

🔥 19 minutes ago

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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

• Build and maintain ingestion pipelines from product databases and SaaS platforms into Bronze-layer storage • Develop Silver-layer cleansing and conforming logic • Model Gold-layer datasets in dbt for internal teams and external customers • Translate internal product, GTM, and AI use cases into Gold-layer data products • Support direct data access, embedded BI, and curated exports for external customers • Monitor pipeline SLAs and resolve production incidents • Maintain catalog and lineage metadata and run data-quality checks • Contribute to API-based SaaS connectors, data streams, AI-consumable datasets, and lakehouse cost/performance tuning • Gather data requirements with cross-functional teams • Design, develop, maintain, and optimize scalable data pipelines, ETL processes, data models, and schemas • Ensure data consistency, integrity, availability, and accessibility across storage systems • Troubleshoot data integration issues 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 • 3–10+ years of experience 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 • Experience with Infrastructure as Code tools, specifically Terraform • Experience with relational and NoSQL databases • Understanding of AI and machine learning concepts and ability to prepare data for AI-driven products • Fluent in English and French, verbally and in writing • Authorized to work in Canada; no work visa or transfer sponsorship available • Strong problem-solving, analytical, communication, interpersonal, and customer-satisfaction skills • Detail-oriented and able to work independently and as part of a team in a fast-paced environment