Data Engineer

Location: Oshawa, ON (Hybrid, 2 days/week on-site)

Duration: 12 Month Contract

Language: Advanced written and verbal English communication skills required

Clearance: Security clearance required (can be applied at the time of offer)

About the Opportunity

Our client in the public sector is seeking a Data Engineer to join a collaborative, agile team focused on building modern data solutions that drive business intelligence, analytics, and digital innovation. This opportunity offers the chance to work with enterprise-scale data platforms and contribute to data products that support critical business decisions across the organization.

In this role, you will help design, build, and optimize scalable data pipelines and data warehouse solutions while collaborating with architects, analysts, and technical stakeholders. If you enjoy solving complex data challenges and leveraging cloud technologies to create reliable, high-performing data ecosystems, this could be an excellent fit.

What’s In It for You

A collaborative and supportive team environment that values knowledge sharing and continuous learning

Exposure to modern cloud-based data technologies, large-scale data platforms, and enterprise data initiatives

The opportunity to contribute to meaningful projects that support innovation and data-driven decision-making

A workplace culture that values agility, quality, automation, and continuous improvement

Your Responsibilities

• You’ll design, build, and support scalable ETL/ELT pipelines and cloud-based data infrastructure using Azure and Databricks technologies

• You’ll develop and optimize data models, data warehouses, and curated datasets that enable reporting, analytics, and downstream applications

• You’ll collaborate with cross-functional teams to integrate structured and unstructured data from a variety of sources

• You’ll implement data quality, lineage, security, and governance controls throughout the data lifecycle

• You’ll troubleshoot and optimize data pipelines, ingestion processes, and query performance at scale

• You’ll contribute to CI/CD pipelines, automated testing, code reviews, and DevOps best practices

• You’ll support streaming and near-real-time data solutions while helping improve automation and operational efficiency

Skills and Qualifications

• 6 years of experience in data modeling, data warehouse design, and data solution architecture within a Big Data environment

• Proven experience as a Data Engineer working with Azure and Databricks technologies

• Advanced proficiency with SQL, Python, Spark, and PySpark

• Experience developing ETL/ELT pipelines and integrating structured and unstructured data sources

• Strong knowledge of relational and NoSQL databases, query optimization, partitioning, and execution plans

• Experience implementing event-driven, pub/sub, streaming, or near-real-time data solutions

• Knowledge of Agile delivery methodologies, source control, CI/CD, automated testing, and quality assurance practices

Why Partner with Altis

If you’ve never worked with a staffing agency before, we make it easy. We work with top employers across Canada who have great jobs to fill, each vetted and verified by our team. When you apply for a job with Altis, we get to know you as a candidate and learn what your strengths are. Then, if you’re a solid match, we handle all the logistics, advocating for you as a candidate for the role, providing access to coaching and connecting you directly with the hiring manager. And rest assured, all our services are free of cost for candidates.