Data Engineer

SOVRA

. Design, develop, and maintain ingestion pipelines from source systems to the Bronze layer .

Posted 9/18/2026full-timeRemote • CanadaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in designing and maintaining data ingestion pipelines, data transformation using dbt, and optimizing data models for artificial intelligence applications. Experienced in collaborating with cross-functional teams to deliver data products and ensuring data quality and compliance.

Highest-signal resume keywords

Data EngineeringETL ProcessesPythonSQLAWS Data Services

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data WarehousingData TransformationData ModelingData Quality ChecksAPI-based SaaS ConnectorsData Lakehouse ArchitectureTerraformInfrastructure as CodeRelational DatabasesNoSQL Databases

Soft Skills

Problem-SolvingAnalytical SkillsAttention to DetailCommunication SkillsInterpersonal Skills

Tools & Technologies

DbtAWS S3AWS GlueAWS Athena

Industry Keywords

Data IngestionBronze LayerSilver LayerGold LayerMedallion ArchitectureData Lineage MetadataEmbedded BI DashboardsRegulatory Compliance

Tech Stack

Tools & technologies

AWSETLFluxNoSQLPythonSQLTerraformTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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