Data Engineer

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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

• Participate in a daily meeting with the Data Platform team to review pipeline status, ingestion, and blockers • Design, develop and maintain ingestion pipelines from source systems to the Bronze layer • Clean, standardize and consolidate data in the Silver layer • Model Gold data sets with dbt for internal teams and external clients • Collaborate with Product, Go-to-Market and Artificial Intelligence teams to translate business needs into Gold data products • Support external clients' data access, Embedded BI, and prepared data exports • Monitor pipeline SLAs, resolve production incidents, and maintain catalog metadata and lineage • Perform data quality checks and support regulatory requests, audits and incident investigations • Implement new ingestion mechanisms, design data sets for AI applications, and optimize lakehouse platform cost and performance • Design and maintain data models and schemas as well as ETL processes • Collaborate with source owners, data analysts and other stakeholders • Provide technical support and continuously improve data engineering practices

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field • Three years or more 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 for data transformation and modeling • Familiarity with data lakehouse and medallion architectures (Bronze/Silver/Gold) • Experience with Infrastructure as Code tools, notably Terraform • Experience with relational and NoSQL databases • Strong problem-solving, analytical and communication skills • Attention to detail • Ability to work independently and as part of a team in a dynamic environment • Customer-focused communication and interpersonal skills • Legal authorization to work in Canada; no visa sponsorship or work permit transfers available