Data Engineer

Responsibilities Support data engineering execution across complex application development initiatives, ensuring data models, integrations, and pipelines align with established architectural standards. Collaborate with your engineering teammates to design and build robust data models, stored procedures, and database objects that support application and reporting needs. Develop and maintain SQL Server databases, including schema design, indexing strategies, query optimization, and stored procedures. Work with MongoDB to design document schemas and support NoSQL data access patterns alongside relational workloads. Participate in code and schema reviews, upholding data quality, performance, and consistency standards across the team You will use your software development skills in an agile environment to also develop new data pipelines, APIs, and data management tools and your experience with continuous delivery will support the end-to-end lifecycle. Languages and Frameworks MS SQL Server, strong production experience with schema design, complex query writing, stored procedure development, indexing, and query performance tuning. MongoDB, hands-on NoSQL experience, including document modeling and integrating with relational systems. Comfortable modeling data across relational and document-based systems, analyzing schemas, and resolving data quality issues. Experience with the Azure data stack preferred, including Azure Data Factory, and Microsoft Fabric. Python, working proficiency for scripting, automation, and data pipeline support is a plus. Tools Experience maintaining projects using a distributed version control system such as Git and GitHub. Experience in automated pipeline deployment and schemas into production environments. You should be experienced with agile methods and the concepts behind continuous delivery. We expect you to be passionate about database modeling, stored procedure writing, pipelines, and APIs, so we want to see your experience with security, testing, performance, JSON, and REST. We are eager to hear about your experience and opinions around data quality, test strategy, and test automation. Education BS in Computer Science and a minimum of five years of experience delivering production solutions Focus Minimum 5+ years working in Data Science. We expect you to have a passion and experience in shipping and maintaining production software products. You must have strong verbal and written skills. We are most interested in candidates who want to work in an environment where attention to detail, solving problems, simplicity, quality, and moving quickly are highly prized. Environment US-based remote working within PT/ET time zones with the potential for occasional travel to L.A., NY or Nashville offices. We foster a service-oriented, highly collaborative environment where teamwork, care, and helping others succeed are highly valued. Your partner for AI, consulting, software development, and nearshore staffing.

The role involves designing and maintaining robust data models, pipelines, and database objects across relational and NoSQL systems. You will collaborate with engineering teams to ensure data integrations align with architectural standards and support application reporting needs.

Candidates must have a BS in Computer Science and at least 5 years of experience delivering production solutions, specifically within Data Science. Proficiency in MS SQL Server, MongoDB, and experience with Azure data tools and Agile methodologies are required.

• GitHubPreferred
• REST APIsPreferred
• AgilePreferred
• MongoDBPreferred
• GitPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• MS SQL Server
• MongoDB
• Azure Data Factory
• Microsoft Fabric
• Python
• Git
• GitHub
• REST APIs
• JSON
• Schema Design
• Query Optimization
• NoSQL
• Agile
• Continuous Delivery
• Data Modeling
• Stored Procedures

• Data & Analytics
• Software
• Engineering
• Technology
• Consulting

Minimum education

Bachelor’s degree

Minimum experience

5+ years

Apply by

Sep 20, 2026

Posting language

English

Working hours

40 hours per week

Location requirements

Country, Toronto, Ontario, Canada

Seniority

Mid-Senior level

Application method

Direct apply is available