Remote Senior data engineer Jobs – 414 Openings This Week

Senior Data Engineer
Versapay —Remote
- $130,000–$160,000 a year
- Full-time
- Remote
- Data analysis skills
- SQL
- AWS
Quick apply
Radar Systems Engineer
AIRADAR, INC —Burnaby, BC
- $115,000–$150,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Engineering
- Master's degree
- Disability insurance
- Dental care
Quick apply
Sr. Algorithm Engineer (Sensor Fusion, Geomatics)
ZeroKey —Calgary, AB
- $100,000–$140,000 a year
- Full-time
- Doctoral degree
- Engineering
- Research
- Disability insurance
- Relocation assistance
Quick apply
8d
Software Engineer
Gatekeeper Systems Inc —Abbotsford, BC
- $75,000–$100,000 a year
- Full-time
- DevOps
- Windows
- Databases
- Disability insurance
- Dental care
Quick apply
Project Engineer
Humming Bee Inc. —Calgary, AB
- Full-time
- Hybrid work
- PMP
- Engineering
- English
- Disability insurance
- Dental care
Quick apply
Senior Data Engineer
Mozilla —Remote
- $85,000–$125,000 a year
- Remote
- SQL
- Communication skills
- Python
- Dental care
- Employee assistance program
Senior Data Engineer
Samsara —Toronto, ON
- $135,575–$159,500 a year
- Remote
- Azure
- Computer Science
- Master's degree
Senior Staff Data Engineer - Platform Data and Analytics
Faire —Hamilton, ON
- $232,000–$319,000 a year
- Remote
- Computer Science
- Engineering
- SQL
- Employee assistance program
Senior Data Engineer
commonsku —Toronto, ON
- $115,000–$130,000 a year
- Remote
- SQL
- AWS
- APIs
- Dental care
Senior Data Engineer - Corporate Data Analytics Group
Canadian Bank Note Company —Ottawa, ON
- $93,000–$116,000 a year
- Full-time
- Remote
- Azure
- Computer Science
- Engineering
- Life insurance
Quick apply
Senior Data Engineer
Asana —Vancouver, BC
- $138,000–$168,000 a year
- Hybrid work
- Java
- SQL
- AWS
- Work from home
Quick apply
Senior Data Engineer
DraftKings —Remote
- Full-time
- Remote
- Computer Science
- DevOps
- Databases
Senior Associate Engineer - Data
ZS —Toronto, ON
- Hybrid work
- Azure
- Computer Science
- Engineering
Senior Data Engineer, AI Systems
Movable Ink —Toronto, ON
- $144,000–$188,000 a year
- Remote
- Software development
- APIs
- Python
Quick apply
Senior Engineer, Data
hive.co —Toronto, ON
- Full-time
- Remote
- Communication skills
- Python
- Dental care
- Paid time off
3d
Senior Analytics Engineer, Analytics Enablement
Fullscript —Ottawa, ON
- $110,000–$140,000 a year
- Full-time
- Remote
- SQL
- AI
- Communication skills
- Paid time off
Quick apply
Senior Data Engineer, Event Data
Movable Ink —Toronto, ON
- $145,000–$185,000 a year
- Remote
- Databases
- SQL
- AWS
Quick apply
Senior Data Engineer (Databricks/AWS)
Fusemachines —Remote
- Full-time
- Remote
- Doctoral degree
- DevOps
- SQL
7d
Senior Software Engineer (Streaming Data Pipeline)
Covalent —Remote
- Full-time
- Remote
- Computer Science
- SQL
- Bachelor's
Senior Software Engineer, Trust and Third Party Risk Management
Vanta —Remote
- $195,000–$263,000 a year
- Full-time
- Remote
- Databases
- APIs
- AI
- Commuter benefits
- Dental care

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Senior Data Engineer

Versapay -
Remote

Quick apply

Job details

Full-time
$130,000–$160,000 a year

Qualifications

R
Data analysis skills
SQL
AWS
Machine learning
AI
Communication skills
Python

Full job description

About Versapay \uD83D\uDE80

Versapay turns accounts receivable (AR) into a competitive advantage.

Inefficient AR processes slow cash flow and stall growth. Versapay removes friction, unlocks working capital, and accelerates momentum — giving finance leaders the clarity and control they need to drive business forward.

Versapay automates accounts receivable, removing barriers to collecting and reconciling B2B payments. Our solutions connect finance teams, customers, and business systems in one ecosystem to ensure cash flow clarity. With over 10,000 customers and 5M+ companies transacting on the platform, Versapay processes over 110M transactions and $257B annually.

Think you might be the next Veep to join? Read on!!

Here’s how you’ll make a huge impact here – and on your career:

The Analytics team is evolving our enterprise capabilities from foundational governance into a robust data platform, safely accelerating strategic AI enablement and delivering high-margin commercial data products. As a Senior Data Engineer, you will be pivotal in optimizing and scaling our foundational Snowflake architecture while aggressively pushing toward agentic engineering and machine learning operations. You will operate as a full-stack generalist within the engineering pod, sharing cross-functional responsibility for pipeline resilience, advanced observability, and the deployment of intelligent semantic models that directly feed our product ecosystem.

Reports To: Manager of Data Engineering

What You'll Do:

Architect for the Future: Optimize our existing Snowflake architecture, establishing strict environmental isolation and scalable structures that prepare our data for eventual downstream commercialization and product offerings.

Drive Agentic Engineering: Leverage tools like Snowflake Cortex, Cursor, and UiPath to automate workflows, build semantic models, and deploy agents that accelerate time-to-value.

Establish Data Observability: Implement and manage robust data quality and observability frameworks to ensure pipeline reliability and proactive issue resolution.

Operationalize Machine Learning: Design and maintain MLOps pipelines to support the seamless rollout, monitoring, and lifecycle management of ML models directly within Snowflake.

Execute Shared Ownership: Partner closely with your peers under the Data Engineering Manager to share responsibilities across pipeline management, MLOps, and architecture, avoiding siloed knowledge and ensuring comprehensive team coverage.

Model for Enterprise Utility: Synthesize disparate operational entities into a unified, enterprise-wide semantic model that supports both internal analytics and future data monetization efforts.

Qualifications

5+ years of Data Engineering experience with a deep, specialized focus on Snowflake's advanced features (e.g., RBAC, materialized views, dynamic tables, Snowpipe, stored procedures).

Advanced proficiency in SQL and Python, with a strong foundation in applying software engineering best practices to ELT processes.

Observability Expertise: Hands-on experience implementing data observability and monitoring platforms (such as DataDog) to manage data quality at scale.

AI & MLOps Exposure: Demonstrated experience using AI-assisted development tools (e.g., Cursor, Cortex) and familiarity with MLOps principles for productionalizing machine learning models.

Pipeline Management: Experience building and maintaining resilient, low-touch data pipelines using modern integration and orchestration tools (e.g., Fivetran, AWS Glue, AWS Lambda).

What You'll Bring To The Team:

Technical Competency: Advanced SQL skills, proficiency with Python/R, and experience with BI tools. Focus on self-sufficiency and leveraging AI tools to accelerate development.

"Builder" Mentality: An ability to thrive in fast-paced environments with a track record of defining and executing high-impact initiatives. A desire to solve complex problems, remediate technical debt, and find creative solutions for scaling our platform.

Business Acumen: Strong business acumen with a proven ability to translate complex data analysis into strategic recommendations. Adept at identifying key drivers and influencing decision-making. You understand the business behind the data and the path to commercialization.

Empathetic Collaboration: Assertive with humility – able to communicate both persuasively and positively. Maintain high standards for verbal and written communication while seamlessly sharing domain responsibilities across the engineering pod.

Trusted Advisor: Possesses a high degree of integrity, the relentless pursuit of truth, and an ability to inspire change, particularly in championing data quality and observability standards.

What Will Make You Stand Out:

Deep domain expertise navigating complex merchant payment ecosystems (e.g., Adyen), operating under rigorous enterprise data governance and security standards.

Proven ability to architect the translation of high-velocity transactional events into highly optimized, columnar analytical architectures.

Direct experience architecting data products for commercialization, external endpoints, or embedded analytics within a SaaS platform.

#LI-Remote

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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senior data engineer jobs in remote

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