33 Senior Data Engineer jobs in New Westminster

Job Description

Salary: $90,000-$110,000

We're Hiring!

We're looking for brilliant thinkers to join our #Rocketeers. If you've ever wondered what it's like to work in a place where people enjoy their work and where talent is more important than the title, then keep reading.

What is ScalePad?

ScalePad is a market-leading software-as-a-service (SaaS) company with headquarters in Vancouver, Toronto, Montreal and Phoenix, AZ. However, we are proud to say our employee reach is now global so we can best serve our partners all over the world.

Our success is no accident: ScalePad provides MSPs of every size with the knowledge, technology, and community they need to deliver increased client value while navigating the continuously changing terrain of the IT landscape. With a suite of integrated products that automate and standardize MSPs operations, analyze and uncover new opportunities, and expand value to clients, ScalePad is equipping the MSP adventure.

ScalePad has received awards such as MSP Todays Product of the Year, G2s 2024 Fastest Growing Product, and 2024 Best IT Management Product. In 2023, it was named a Best Workplace in Canada by Great Place to Work. ScalePad is a privately held company serving over 12,000 MSPs across the globe.

You can contribute to our innovation and appreciate how your work is helping take this company to a higher level of operational maturity. More on that here.

Your mission should you choose to accept it.

As a Data Engineer supporting our Revenue Operations, your mission is to drive the evolution of our business intelligence, data management, and operational solutions. Your active involvement in developing innovative approaches will ensure our scalability aligns seamlessly with our vision for growth. Collaborating closely with Data Scientists, Business Analysts, and Software Engineers, you will contribute to the creation of exceptional solutions. Our collaborative work environment values your input, as it plays a pivotal role in our continuous innovation process. This unique opportunity empowers you to engage in every aspect of the data engineering cycle, with the guidance and resources needed to learn, optimize, advance, and grow every quarter.

Responsibilities.

• Familiarize yourself with our current initiatives, teams, and operational workflows to seamlessly integrate into ongoing projects.
• Master our technology architecture, gaining a deep understanding of our systems and infrastructure.
• Gain insight into our business operations structure, needs, and cycles to align your work with organizational goals.
• Join a new development team and kick-off major projects.
• Collaborate closely with data scientists to enable their projects with robust data engineering solutions.
• Work on data lake and data warehouse solutions, optimizing data storage and retrieval processes.
• Develop solutions that seamlessly connect different departments, fostering efficient data flow and information sharing.
• You have autonomy in your ability to manage and prioritize your tasks with an innate ability to shift gears when required.
• You are a sponge when it comes to learning and excelling even when outside your comfort zone.
• Maintain an unwavering commitment to the quality of your work and that of your teammates, upholding high standards.
• Embrace a learning mindset, excelling even outside your comfort zone and staying updated on industry trends.
• Possessing experience in OLAP databases, artificial intelligence, machine learning, and event sourcing is considered an asset.
  
  

Qualifications.

• 2+ years of hands-on Data Engineer experience with a strong track record of delivering data solutions.
• Proficiency in Python, R, C#, or equivalent programming languages for crafting data solutions.
• Strong knowledge of SQL and NoSQL solutions.
• Familiarity with Agile development methodologies.
• Experience in conceptual, business, and analytical data modeling.
• Proficiency in Databricks, PySpark, and DBT.
• Experience with data ingestion tools like Fivetran, Airbyte, and Airflow.
• Deep understanding of data pipelines, including ETL processes.
• Commitment to best practices for efficient data pipelines, data quality, and integrity.
• Passion for Big Data, data mining, artificial intelligence, and machine learning.
• Curious mindset, love for learning, and strong problem-solving skills.
• Ability to collaborate with business stakeholders to clarify data requirements and develop models.
• Strong focus on practical and valuable solutions for end-users.
• Agile and iterative approach to work, with the ability to recognize and rectify mistakes.
• Nice qualifications to have: Experience with CRM, analytics, data visualization, and billing tools (e.g., Zendesk, HubSpot, Segment, GA, Tableau, Stripe, Chargebee).

What Youll Love Working As A Rocketeer:

• Everyones an Owner: Through our Employee Stock Option Plan (ESOP), each team member has a stake in our success. As we scale, your contributions directly shape our future and you share in the rewards.
• Growth, Longevity and Stability: Benefit from insights and training from our leadership and founder, whose extensive experience in funding and scaling successful software companies creates a stable environment for your long-term career growth. Their proven track record fosters a culture of lasting success.
• Annual Training & Development: Every employee receives an annual budget for professional development, empowering you to advance your skills and career on your terms.
• Hybrid Flexibility: Enjoy a world-class office at our headquarters in downtown Vancouver, Toronto, and Montreal
• Cutting-Edge Gear: Whether in the office or at home, youll be set up for success with top-of-the-line hardware.
• Wellness at Work: Our Vancouver office features a fitness facility, outdoor ping-pong tables
• Comprehensive Benefits: Weve got you covered with an extensive benefits package with 100% medical and dental coverage fully employer-paid, RRSP matching after one year of employment, and even a monthly stipend to help offset the costs of the hybrid experience.
• Flexible Time Off: With our unlimited flex-time policy in addition to all accrued vacation allows you to take the time you need to recharge and thrive.
  
  

Dream jobs dont knock on your door every day.

ScalePad is not your typical software company. When we hire you, we arent just offering you a job, but rather we are committing to investing in both you and your long-term career. You'll help shape how this modern SaaS company operates and make a genuine impact on the future of our people, product, and partners.

At ScalePad, we believe in the power of Diversity, Equity, Inclusion, and Belonging (DEIB) to drive innovation, collaboration, and success. We are committed to fostering a workplace where every individual's unique experiences and perspectives are valued, and where employees from all backgrounds can thrive. Our dedication to DEIB is woven into the fabric of our culture, guiding our actions and decisions as we build a stronger and more inclusive future together.

Join us and be part of a team that celebrates differences, embraces fairness, and ensures that everyone has an equal opportunity to contribute and grow. Together, we're creating an environment where diverse voices are not only heard but also amplified, where everyone feels valued, and where we can all achieve our full potential.

Please no recruiters or phone calls.

Job Description

Salary: $90,000 - $110,000

We are seeking a motivated Data Engineer with 2-3 years of experience to join our innovative team. In this role, you will design, build, and optimize data pipelines and analytics workflows using modern cloud data platforms and tools. You will collaborate with cross-functional teams to transform raw data into actionable insights that power intelligent product features, ML models, and strategic decision-making.

Responsibilities

• Design and implement robust ETL pipelines using Apache Airflow
• Build and maintain data warehouses in Snowflake to support scalable data ingestion and transformation
• Develop ETL workflows for structured and semi-structured data from various sources using AWS services
• Collaborate with data scientists and ML engineers to prepare and transform data for AI/ML model training and inference
• Build interactive data applications using Streamlit
• Design and implement data models to support machine learning workflows and analytics
• Integrate data from APIs, databases, and cloud storage using Python
• Implement data quality checks and monitoring systems to ensure data integrity
• Document data models and pipeline architectures
• Stay updated on advancements in Airflow, AWS, Snowflake, Streamlit, and AI/ML technologies

Requirements

• 2-3 years of professional experience in data engineering or a related field
• Hands-on experience with Apache Airflow for building and orchestrating ETL pipelines
• Practical experience with AWS services
• Experience working with Snowflake for data warehousing workloads
• Strong Python programming skills for data processing and automation
• Experience with Streamlit for building data applications
• Solid understanding of data modeling concepts
• Familiarity with AI/ML workflows, including data preparation for model training
• Bachelor's degree in Computer Science, Data Engineering, or a related technical field (or equivalent experience)

Preferred Qualifications

• Advanced experience with AWS data services
• Deep expertise in Snowflake optimization and performance tuning
• Experience building complex Streamlit applications
• Advanced Python skills for data wrangling and automation
• Experience with AI/ML model deployment and data modeling for machine learning
• Knowledge of Airflow best practices for ETL pipeline design

Job Description

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is completely remote! Our client is a global enterprise company with a product that you've likely used.

Within this role, you'll have the chance to work on an application that is used by millions of users daily. With your expertise in BI, Data warehousing and big data you'll contribute to the expanding expertise of the team and keep data components current!

You Have:

• Minimum 5+ years professional working experience as a Data Engineer
• Strong experience working with both batch and real-time ETL involving large data sets
• Experience mentoring and guiding Junior Data Engineers in previous roles
• Strong Experience working with SQL and large data sets
• Hands-on experience coding in Python is required
• Experience working with Business Intelligence and Data Warehousing
• Experience working with data services on the cloud such as AWS and/or Google Cloud Platform environments
• Experience with REST API's

Some AWESOME selling points:

• Remote + flexible work schedule
• North of six figures salary + Equity + Health Spending Account (it's competitive)
• Amazing opportunity for career progression to lead
• Amazing mentorship (seriously)
• Plenty of vacay
• RRSP Matching
• Team budget for education for employees
  
  

It's a seriously awesome opportunity! If this looks interesting to you, go ahead and click apply :)

* Unfortunately we are only able to consider candidates who either live in Canada, or currently have an active Canadian work visa or citizenship for this role.

Job Description

We are looking for an experienced Junior Data Engineer for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global enterprise company with a product that you've likely used.

You Have:

• Minimum 2+ years professional working experience as a Data Engineer
• Strong Experience working with SQL and large data sets
• Hands-on experience coding in Python would be a strong asset
• Experience working with Business Intelligence and Data Warehousing
• Experience working with data services on the cloud such as AWS and/or Google Cloud Platform environments
• Experience with REST API's

Perks:

• Competitive Salary
• Individual performance bonus
• Health and dental benefits
• 3 weeks vacation
• Relocation Package
• RSP matching

If this opportunity sounds like something that fits your career path, please apply to this posting; we'd love to talk to you!

Job Description

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is completely remote! Our client is a global enterprise company with a product that you've likely used.

Within this role, you'll have the chance to work on an application that is used by millions of users daily. With your expertise in BI, Data warehousing and big data you'll contribute to the expanding expertise of the team and keep data components current!

You Have:

• Minimum 5+ years professional working experience as a Data Engineer
• Strong experience working with both batch and real-time ETL involving large data sets
• Experience mentoring and guiding Junior Data Engineers in previous roles
• Strong Experience working with SQL and large data sets
• Hands-on experience coding in Python is required
• Experience working with Business Intelligence and Data Warehousing
• Experience working with data services on the cloud such as AWS and/or Google Cloud Platform environments
• Experience with REST API's

Some AWESOME selling points:

• Remote + flexible work schedule
• North of six figures salary + Equity + Health Spending Account (it's competitive)
• Amazing opportunity for career progression to lead
• Amazing mentorship (seriously)
• Plenty of vacay
• RRSP Matching
• Team budget for education for employees
  
  

It's a seriously awesome opportunity! If this looks interesting to you, go ahead and click apply :)

* Unfortunately we are only able to consider candidates who either live in Canada, or currently have an active Canadian work visa or citizenship for this role.

Job Description

We are looking for an experienced Junior Data Engineer for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global enterprise company with a product that you've likely used.

You Have:

• Minimum 2+ years professional working experience as a Data Engineer
• Strong Experience working with SQL and large data sets
• Hands-on experience coding in Python would be a strong asset
• Experience working with Business Intelligence and Data Warehousing
• Experience working with data services on the cloud such as AWS and/or Google Cloud Platform environments
• Experience with REST API's

Perks:

• Competitive Salary
• Individual performance bonus
• Health and dental benefits
• 3 weeks vacation
• Relocation Package
• RSP matching

If this opportunity sounds like something that fits your career path, please apply to this posting; we'd love to talk to you!

Job Description

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is completely remote! Our client is a global enterprise company with a product that you've likely used.

Within this role, you'll have the chance to work on an application that is used by millions of users daily. With your expertise in BI, Data warehousing and big data you'll contribute to the expanding expertise of the team and keep data components current!

You Have:

• Minimum 5+ years professional working experience as a Data Engineer
• Strong experience working with both batch and real-time ETL involving large data sets
• Experience mentoring and guiding Junior Data Engineers in previous roles
• Strong Experience working with SQL and large data sets
• Hands-on experience coding in Python is required
• Experience working with Business Intelligence and Data Warehousing
• Experience working with data services on the cloud such as AWS and/or Google Cloud Platform environments
• Experience with REST API's

Some AWESOME selling points:

• Remote + flexible work schedule
• North of six figures salary + Equity + Health Spending Account (it's competitive)
• Amazing opportunity for career progression to lead
• Amazing mentorship (seriously)
• Plenty of vacay
• RRSP Matching
• Team budget for education for employees
  
  

It's a seriously awesome opportunity! If this looks interesting to you, go ahead and click apply :)

* Unfortunately we are only able to consider candidates who either live in Canada, or currently have an active Canadian work visa or citizenship for this role.

Job Description

We are looking for an experienced Junior Data Engineer for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global enterprise company with a product that you've likely used.

You Have:

• Minimum 2+ years professional working experience as a Data Engineer
• Strong Experience working with SQL and large data sets
• Hands-on experience coding in Python would be a strong asset
• Experience working with Business Intelligence and Data Warehousing
• Experience working with data services on the cloud such as AWS and/or Google Cloud Platform environments
• Experience with REST API's

Perks:

• Competitive Salary
• Individual performance bonus
• Health and dental benefits
• 3 weeks vacation
• Relocation Package
• RSP matching

If this opportunity sounds like something that fits your career path, please apply to this posting; we'd love to talk to you!

Job Description

We are looking for an experienced Junior Data Engineer for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global enterprise company with a product that you've likely used.

You Have:

• Minimum 2+ years professional working experience as a Data Engineer
• Strong Experience working with SQL and large data sets
• Hands-on experience coding in Python would be a strong asset
• Experience working with Business Intelligence and Data Warehousing
• Experience working with data services on the cloud such as AWS and/or Google Cloud Platform environments
• Experience with REST API's

Perks:

• Competitive Salary
• Individual performance bonus
• Health and dental benefits
• 3 weeks vacation
• Relocation Package
• RSP matching

If this opportunity sounds like something that fits your career path, please apply to this posting; we'd love to talk to you!