Senior Data Engineer

3 Months ago • 6 Years + • Data Analysis

Job Summary

Job Description

As a Senior Data Engineer, you will be responsible for designing, building, and deploying components of a modern data stack to support data products and insights. You will build scalable data infrastructure, enhance a modern data stack, and contribute to high-impact projects. You will also collaborate with various engineering teams and stakeholders to develop data solutions and advance Wave as a data-centric organization. The role requires strong communication skills and the ability to work autonomously in ambiguous conditions.
Must have:
  • 6+ years of experience in building data pipelines.
  • Experience managing a modern data stack.
  • 3+ years of experience with AWS cloud infrastructure.
  • Write high-quality, maintainable code in Python, SQL, and dbt.
  • Prior experience building data lakes on S3 using Apache Iceberg.
  • Experience with Airflow or similar orchestration systems.
  • Familiarity with data governance practices.
  • Experience developing and deploying data pipeline solutions using CI/CD.
  • Working knowledge of Stitch and Segment CDP.
Good to have:
  • Knowledge and practical experience with Athena, Redshift, or Sagemaker Feature Store.
Perks:
  • Work From Where You Work Best (Toronto office or remote).
  • Learning experiences, educational allowances, and mentorship.
  • Health & wellness benefits.
  • Fair compensation and office perks.

Job Details

We believe small businesses are at the heart of our communities, and championing them is worth fighting for. We empower small business owners to manage their finances fearlessly, by offering the simplest, all-in-one financial management solution they can't live without.


Reporting to the Senior Manager of AI & Data Platform, as a Senior Data Engineer, you will be building tools and infrastructure to support the efforts of the Data Products and Insights & Innovation teams, and the business as a whole.


We’re looking for a talented, curious self-starter who is driven to solve complex problems and can juggle multiple domains and stakeholders. This highly technical individual will collaborate with all levels of the Data and AI team as well as various engineering teams to develop data solutions, scale our data infrastructure, and advance Wave to the next stage in our transformation as a data-centric organization.


This role is for someone with proven experience in complicated product environments. Strong communication skills are a must to bridge the gap between technical and non-technical audiences across a spectrum of data maturity.


At Wave, you’ll have the chance to grow and thrive by building scalable data infrastructure, enhancing a modern data stack, and contributing to high-impact projects that empower insights and innovation across the company.


Here’s How You Make an Impact:
  • You’re a builder. You’ll be responsible for designing, building, and deploying the components of a modern data stack, including CDC ingestion (using Meltano or similar tools), a centralized Iceberg data lake, and a variety of batch, incremental, and stream-based pipelines.
  • You’ll make things better. You enjoy the challenge of helping build and manage a fault-tolerant data platform that scales economically while balancing innovation with operational stability by maintaining legacy Python ELT scripts and accelerating the transition to dbt models in Redshift, Snowflake, or DataBricks.
  • You’re all about collaboration and relationships. You will collaborate within a cross-functional team in planning and rolling out data infrastructure and processing pipelines that serve workloads across analytics, machine learning, and GenAI services. You enjoy working with different teams across Wave and helping them succeed by ensuring that their data, analytics, and AI insights are reliably delivered.
  • You’re self-motivated and can work autonomously. We count on you to thrive in ambiguous conditions by independently identifying opportunities to optimize pipelines and improve data workflows under tight deadlines.
  • You will resolve and mitigate incidents. You will respond to alerts and proactively implement monitoring solutions to minimize future incidents, ensuring high availability and reliability of data systems.
  • You're a strong communicator. As a data practitioner, you’ll have people coming to you for technical assistance, and your outstanding ability to listen and communicate with people will reassure them as you help answer their concerns.
  • You love helping customers. You will assess existing systems, optimize data accessibility, and provide innovative solutions to help internal teams surface actionable insights that enhance external customer satisfaction.


You Thrive Here By Possessing the Following:
  • Data Engineering Expertise: Bring 6+ years of experience in building data pipelines and managing a secure, modern data stack. This includes CDC streaming ingestion using tools like Meltano or similar for data ingestion workflows that support AI/ML workloads, and a curated data warehouse in Redshift, Snowflake, or DataBricks.    
  • AWS Cloud Proficiency: At least 3 years of experience working with AWS cloud infrastructure, including Kafka (MSK), Spark / AWS Glue, and infrastructure as code (IaC) using Terraform.    
  • Strong Coding Skills: Write and review high-quality, maintainable code that enhances the reliability and scalability of our data platform. We use Python, SQL, and dbt extensively, and you should be comfortable leveraging third-party frameworks to accelerate development.    
  • Data Lake Development: Prior experience building data lakes on S3 using Apache Iceberg with Parquet, Avro, JSON, and CSV file formats.   
  •  Workflow Automation: Experience with Airflow or similar orchestration systems to build and manage multi-stage workflows that automate and orchestrate data processing pipelines.    
  • Data Governance Knowledge: Familiarity with data governance practices, including data quality, lineage, and privacy, as well as experience using cataloging tools to enhance discoverability and compliance.    
  • CI/CD Best Practices: Experience developing and deploying data pipeline solutions using CI/CD best practices to ensure reliability and scalability.    
  • Data Integration Tools: Working knowledge of tools such as Stitch and Segment CDP for integrating diverse data sources into a cohesive ecosystem.    
  • Analytical and ML Tools Expertise: Knowledge and practical experience with Athena, Redshift, or Sagemaker Feature Store to support analytical and machine learning workflows is a definite bonus!


Succeeding at Wave:  At Wave, you’ll have the chance to grow and thrive by building scalable data infrastructure, enhancing a modern data stack, and contributing to high-impact projects that empower insights and innovation across the company. Whether collaborating in our vibrant downtown Toronto hub or working remotely, you’ll have the flexibility to shape your journey and make a lasting impact on Wave’s data-driven future. At Wave, we value diverse perspectives and encourage open, respectful feedback, fostering an inclusive environment where innovation flourishes, and every team member has the opportunity to grow.


At Wave, you’re treated like the incredible human being you are. 


Work From Where You Work Best: We will always have a welcoming, energizing, and world-class office (in Toronto) with a space for you. Or, if you’re more comfortable working from home, the choice is yours.

We Care About Future You: You will stretch yourself and you will grow at Wave. You will also be supported on this journey with diverse learning experiences, educational allowances, mentorship, and so much more.

We Support the Full You: We make a serious investment in your health & wellness. When we think about benefits we think about body, mind, & soul and we take this stuff very seriously. 

We Take Care of the Fundamentals: Fair compensation, all the office perks you’d want, and the various goodies you’d expect from a growing tech company. This is the obvious stuff, but we don’t want you to think we forgot!


We believe that a diverse and inclusive culture creates the best workplace. We embrace our differences, value individuality, and the broad spectrum of every Waver's skills and abilities. We challenge each other from a place of respect and pursuit of continuous growth. We trust each other and encourage everyone to bring their authentic selves to work, everyday. As Wavers, our voices matter, our opinions are met with an open mind. The best ideas win, no matter whose they are.  Contributing to an inclusive culture is a part of all of our job descriptions. 


We’ve been continuously recognized as one of Canada's Top Ten Most Admired Corporate Cultures and one of Canada’s Great Places to Work in categories including Technology, Millennials, Mental Health, Inclusion and Women.  


Are you ready to be a Waver? Join us!

Similar Jobs

Mindstorm studios - Graphic Designer

Mindstorm studios

Lahore, Punjab, Pakistan (On-Site)
2 Months ago
Easyship - Senior Frontend Engineer

Easyship

Bengaluru, Karnataka, India (On-Site)
9 Months ago
warner bros games - Principal Engineer- Backend (MSC Team), Bangalore

warner bros games

Bengaluru, Karnataka, India (On-Site)
1 Year ago
Globalization Partners - Director, HR Business Partner

Globalization Partners

India (Remote)
1 Month ago
appzen - Senior Product Manager – European Tax & E-Invoicing Automation

appzen

London, England, United Kingdom (On-Site)
2 Months ago
Auros Global - Senior Data Engineer

Auros Global

United Kingdom (Remote)
6 Days ago
Capgemini - Temenos Data Analytics

Capgemini

Bengaluru, Karnataka, India (On-Site)
1 Month ago
Grammarly - Data Scientist

Grammarly

Berlin, Berlin, Germany (Hybrid)
2 Weeks ago
Addepar - Senior Backend Software Engineer - Data Imports

Addepar

United States (Remote)
3 Weeks ago
Wildlife Studios - Data Scientist

Wildlife Studios

São Paulo, Brazil (On-Site)
2 Months ago

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

Mcdonalds - Software Engineer II - iOS

Mcdonalds

Mexico City, Mexico (Hybrid)
1 Month ago
SweatPals - Senior Product Manager

SweatPals

San Francisco, California, United States (Hybrid)
1 Month ago
plana technologies - Mobile Software Engineer

plana technologies

Sinaloa, Mexico (Remote)
3 Weeks ago
Razer - Product and Games Services Manager

Razer

State Of São Paulo, Brazil (On-Site)
1 Week ago
Glean - Product Operations Lead

Glean

Palo Alto, California, United States (Hybrid)
3 Weeks ago
Cognite - Senior Full Stack Engineer

Cognite

Bengaluru, Karnataka, India (Hybrid)
3 Months ago
Substack - Politics Partnerships Manager

Substack

Washington, District Of Columbia, United States (Hybrid)
3 Weeks ago
Findhelp - Senior Professional Services Consultant

Findhelp

West Virginia, United States (On-Site)
1 Month ago
OKX - Director, Control & Issue Management

OKX

San Francisco, California, United States (On-Site)
1 Month ago
whoop - General Manager, WHOOP Labs Doha

whoop

Doha, Doha Municipality, Qatar (On-Site)
6 Days ago

Get notifed when new similar jobs are uploaded

Jobs in Toronto, Ontario, Canada

Autodesk - Principal Software Developer - Experimentation and Data Analytics

Autodesk

Ontario, Canada (Remote)
1 Week ago
Critical mass - Freelance Quality Control Lead - Design

Critical mass

Calgary, Alberta, Canada (On-Site)
3 Weeks ago
reflector entertainment - Technical Game Designer

reflector entertainment

Montréal, Québec, Canada (Hybrid)
1 Week ago
Open Systems Technologies - Project Delivery Manager – Operational Excellence

Open Systems Technologies

Toronto, Ontario, Canada (On-Site)
1 Week ago
Walmart - Produce Stocker

Walmart

Edson, Alberta, Canada (On-Site)
1 Week ago
Liquid Development - Senior 3D Animator

Liquid Development

Ontario, Canada (Remote)
3 Months ago
Thumbtack - Senior Data Engineer

Thumbtack

Ontario, Canada (Remote)
1 Month ago
Canonical - MAAS Systems Engineer - Python

Canonical

Toronto, Ontario, Canada (Hybrid)
2 Months ago
Unity - Director, Compensation Programs & Strategy

Unity

Montreal, Quebec, Canada (On-Site)
6 Days ago
Epic Games - Audio Designer

Epic Games

Montreal, Quebec, Canada (On-Site)
3 Months ago

Get notifed when new similar jobs are uploaded

Data Analysis Jobs

Apple - Data Visualization / BI Engineer

Apple

Cupertino, California, United States (On-Site)
1 Month ago
Nagarro - Senior Engineer, Data Analytics

Nagarro

India (Remote)
9 Months ago
yubo - Data Engineer

yubo

Paris, Île-de-France, France (Hybrid)
1 Week ago
Syniverse - Data Engineer I

Syniverse

Bengaluru, Karnataka, India (On-Site)
1 Year ago
GoTo Group - Data Scientist Intern

GoTo Group

Singapore (On-Site)
1 Month ago
Tencent - Sr. Workday Business System Analyst

Tencent

Shanghai, Shanghai, China (On-Site)
4 Months ago
Tide - Staff Data Engineer

Tide

Hyderabad, Telangana, India (Hybrid)
3 Months ago
Apple - Software Engineer (Framework - Solutions), Ai & Data Platforms

Apple

Austin, Texas, United States (On-Site)
2 Months ago
PwC - Tagetik Business Analyst - Milano [DIG]

PwC

Milan, Lombardy, Italy (On-Site)
10 Months ago
Xsolla - Product Data Analyst

Xsolla

Baku, Azerbaijan (Hybrid)
3 Months ago

Get notifed when new similar jobs are uploaded

About The Company

Toronto, Ontario, Canada (Remote)

Canada (Remote)

Canada (Remote)

Toronto, Ontario, Canada (Remote)

Canada (Remote)

Toronto, Ontario, Canada (Remote)

Toronto, Ontario, Canada (Remote)

Toronto, Ontario, Canada (Remote)

View All Jobs

Get notified when new jobs are added by WaveApps

Level Up Your Career in Game Development!

Transform Your Passion into Profession with Our Comprehensive Courses for Aspiring Game Developers.

Job Common Plug