Senior Data Engineer, Wave
Financial services for small business owners
Be an early applicant
Financial services for small business owners
201-500 employees
Be an early applicant
201-500 employees
Company mission
To create a future where small business owners can manage their finances fearlessly.
Role
Who you are
- 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!
What the job involves
- 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
- 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
Our take
Over 90% of all businesses in North America are zero to five employee companies. These businesses are organising their finances either by paying an expensive accountant, or relying on traditional spreadsheets.
In response, Wave is democratising access to financial services software. While they are not the first to do this, they have taken the flourishing approach of giving away the invoicing and accounting software 100% for free.
The company instead makes money by embedding financial services products within the software. It's these payments and other revenue streams that the startup is now looking to expand to secure more revenue to scale.
While the company has had success so far with its tools, it will need to build a whole suite of products and services in order to compete with the accounting software giants like Xero.
Steph
Company Specialist at Welcome to the Jungle
Insights
-7% employee growth in 12 months
Company
Funding (last 2 of 11 rounds)
Jun 2018
$3.3m
EARLY VC
May 2017
$32m
SERIES D
Total funding: $81.2m
Company benefits
- 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!
Company HQ
Leslieville, Toronto, ON
Leadership
Zahir Khoja
(CEO, not Founder)Worked at Mastercard as EVP (Global Merchant Solutions and Partnerships) and held several Senior VP positions. Former Vintro Board Member and General Manager (North America) at Afterpay.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 11 more jobs at Wave