TechedinVerified Job Source

Data Platform Engineer / Data Engineer

Canada
Remote
Posted Sep 30, 2026
1 position

$70–$75 / hour

Opens an external site

Employment type: Full-time
Experience level: Senior · 5+ years
Posting language: English
Working hours: 40 hours per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Design and build analytics-ready data models, ingestion and transformation pipelines, and batch and streaming workflows. Test, deploy, document, and support production data solutions, including troubleshooting defects and validating releases.

Job details

Job Title: Data Platform Engineer / Data Engineer Experience: 5+ Years Work Model: 100% Remote (Canada) Employment Type: T4 Contract Rate: CAD 70 to 75 per hour Role Summary We are hiring for Data Platform Engineer / Data Engineer where the selected candidate will support the design, development, testing, deployment, and operationalization of analytics-ready data models and data pipelines. You ll work with a distributed global engineering team to deliver production-ready data solutions from a jointly prioritized backlog. Key Responsibilities Design logical and physical data models. Build analytics-ready Tier-2 data models using dimensional modeling and star-schema principles where appropriate. Define facts, dimensions, relationships, measures, and transformations. Develop ingestion, transformation, and orchestration pipelines. Build and maintain batch and streaming data-processing workflows. Support data replication and historical data backfills. Implement data-quality controls and validation logic. Perform unit, integration, regression, and data-quality testing. Reconcile source and target datasets. Prepare production-ready code, configurations, and data models. Participate in code reviews and approved release processes. Support production deployments and post-deployment validation. Troubleshoot defects and perform root-cause analysis. Create technical documentation, release notes, and operational materials. Participate in daily stand-ups, design reviews, demonstrations, and knowledge-transfer activities. Must-Have Skills 5+ years of professional experience in data engineering or distributed systems. Strong production experience with batch and streaming data architectures. Experience building and maintaining production data pipelines. Experience with dimensional data modeling and star-schema design. Strong programming skills using Python. Strong programming skills using Java. Strong programming skills using SQL. Experience with data quality and automated testing. Experience with production troubleshooting. Experience with source control, CI/CD, and code reviews. Experience working with agile engineering practices. Ability to work effectively within a distributed global engineering team. Required Technologies Apache Iceberg. Apache Airflow. Apache Spark. Apache Kafka. Apache Flink. Snowflake. Amazon Web Services. SQL and data modeling. Nice-to-Have Skills Experience supporting production data replication and historical backfills. Experience preparing production deployment artifacts and post-release validation. Experience creating technical walkthroughs and supporting knowledge-transfer activities. Interested in this opportunity? Apply now, and our recruitment team will review your profile and reach out if it aligns with client requirements. We value every application and aim to respond to those closely matching the role criteria. Even if you don t hear back this time, we encourage you to stay connected with us for future opportunities. About TechedIn TechedIn is a global IT staffing and technology services firm helping enterprises build high-performance tech teams. We support innovation at scale by connecting skilled professionals to leading companies and impactful projects. We prioritize transparency, responsiveness, and the right fit. Equal Opportunity At TechedIn, we welcome applicants of all backgrounds, communities, and experiences. Our commitment to diversity, equity, and inclusion drives us to create hiring experiences that are open, fair, and human-first.

What you’ll do

Requirements

Requires 5+ years of data engineering or distributed systems experience, production experience with batch and streaming architectures, and strong Python, Java, and SQL skills. Candidates should also have experience with dimensional modeling, data quality and automated testing, production troubleshooting, source control, CI/CD, code reviews, and agile work in distributed teams.