Data Engineer (CA) at Jobgether

, , Canada -

Full Time

Start Date

Immediate

Expiry Date

02 Feb, 26

Salary

170000.0

Posted On

04 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Pipelines, Data Modeling, SQL, Python, Cloud Platforms, AWS, GCP, Machine Learning, Data Validation, Workflow Orchestration, Kafka, Data Transformation, OLAP Platforms, Automation, Problem-Solving

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer in Canada. In this role, you will architect and maintain the pipelines and systems that ensure high-quality, reliable data flow across the organization. Working closely with software engineers, machine learning teams, and data analysts, you will ingest, clean, normalize, and validate data from multiple sources to support analytics and AI-driven decision-making. You will build transformation and validation layers upstream to ensure accuracy and usability for downstream applications, including reporting and ML pipelines. The position offers the opportunity to design foundational data systems, implement best practices, and influence the overall data architecture. Ideal candidates thrive in small, dynamic teams, embrace ownership, and enjoy solving complex, evolving problems with creative, scalable solutions. Accountabilities: Design, implement, and maintain data pipelines to ingest, clean, and normalize data from multiple sources, ensuring high quality and timeliness. Build and manage upstream transformation and validation layers for reporting and machine learning pipelines. Collaborate closely with software engineers, ML teams, and data analysts to ensure data meets operational and analytical needs. Implement monitoring, testing, and error-handling processes to prevent and detect data anomalies. Contribute to the architecture and long-term evolution of the data ecosystem, including cloud infrastructure and workflow orchestration. Mentor and guide team members on data best practices, modeling, and system design. Identify opportunities for automation, optimization, and performance improvements across the data stack. 5+ years of experience delivering data solutions in early-stage, high-growth startups, preferably in payments or fintech. Strong experience with cloud platforms such as AWS or GCP. Expertise in data modeling and SQL for structured and semi-structured data. Proficiency in Python for data processing and transformation tasks. Experience with workflow orchestration tools (e.g., Prefect, Airflow, Dagster). Familiarity with distributed workflow systems (e.g., Temporal, AWS Step Functions). Experience with cloud OLAP platforms (e.g., Snowflake, Redshift, BigQuery) and query optimization. Knowledge of pub/sub messaging systems such as Kafka and scalable data ingestion patterns. Familiarity with data transformation frameworks (e.g., dbt) and validation patterns. Strong problem-solving skills and a proactive mindset for designing scalable, reliable systems. Competitive salary: CAD $130,000 – $170,000 per year. Flexible work environment with opportunities for remote work. Collaborative, small-team culture with high ownership and impact. Professional growth opportunities and exposure to cutting-edge data technologies. Inclusive and diverse workplace culture. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

You will architect and maintain the pipelines and systems that ensure high-quality, reliable data flow across the organization. Collaborate closely with software engineers, machine learning teams, and data analysts to ensure data meets operational and analytical needs.