Data Engineer, Wave

• We’re looking for a talented, curious self-starter who is driven to solve complex problems and can juggle multiple domains and stakeholders
• 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
• Data Engineering Expertise: 3+ years of experience building data pipelines and managing a secure, modern data stack, including CDC streaming ingestion (e.g., Debezium) into data warehouses that support AI/ML workloads
• 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
• Data modelling and SQL: Fluency in SQL, strong understanding of data modelling principles and data storage structures for both OLTP and OLAP
• Databricks experience: Experience developing or maintaining a production data system on Databricks is a significant plus
• Strong Coding Skills: Experience writing and reviewing high-quality, maintainable code to improve the reliability and scalability of data platforms, using Python, SQL, and dbt, and leveraging third-party frameworks as needed
• Data Lake Development: Prior experience building data lakes on S3 using Apache Hudi with Parquet, Avro, JSON, and CSV file formats
• CI/CD Best Practices: Experience developing and deploying data pipeline solutions using CI/CD best practices to ensure reliability and scalability

Desirable

• At Wave, we help small businesses to thrive so the heart of our communities beats stronger
• We work in an environment buzzing with creative energy and inspiration
• No matter where you are or how you get the job done, you have what you need to be successful and connected
• The mark of true success at Wave is the ability to be bold, learn quickly and share your knowledge generously
• Reporting to the Manager, Data Engineering, as a 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
• This highly technical individual will collaborate with all levels of the Data & AI team as well as the 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
• You’re a builder - Design, build, and deploy components of a modern data platform, including CDC-based ingestion using Debezium and Kafka, a centralized Hudi-based data lake, and a mix of batch, incremental, and streaming data pipelines
• You ensure continuity while driving modernization - Maintain and enhance the Amazon Redshift warehouse and legacy Python ELT pipelines, while driving the transition to a Databricks and dbt–based analytics environment that will replace the current stack
• You balance innovation with operational excellence - Build fault-tolerant, scalable, and cost-efficient data systems, and continuously improve observability, performance, and reliability across both legacy and modern platforms
• You collaborate to deliver impact - Partner with cross-functional teams to design and deliver data infrastructure and pipelines that support analytics, machine learning, and GenAI use cases, ensuring timely and accurate data delivery
• You thrive in ambiguity and take ownership -Work autonomously to identify and implement opportunities to optimize data pipelines and improve workflows under tight timelines and evolving requirements
• You keep the platform reliable - Respond to PagerDuty alerts, troubleshoot incidents, and proactively implement monitoring and alerting to minimize incidents and maintain high availability
• You’re a strong communicator - Provide technical guidance to colleagues, clearly communicating complex concepts and actively listening to build trust and resolve issues efficiently
• You’re customer-minded - Assess existing systems, improve data accessibility, and deliver practical solutions that enable internal teams to generate actionable insights and enhance the experience of our external customers