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Senior Data Engineer

1 hour, 46 minutes ago
Canada
Full-time
Senior
Data Engineer
Software Development
Apache Spark AWS CI/CD Databricks dbt Generative AI JSON Kafka Looker Machine Learning PagerDuty Power BI Python SQL Terraform
Apply Now
Wave

Wave

Wave is a small business software company that offers a suite of money management tools including invoicing, accounting, credit card processing, payroll, receipt scanning, and personal finance tools. With 2.5 million customers worldwide, Wave provides ...

Internet Software & Services
251-1K
Founded 2010
$80M raised
View All Jobs 8

Description

  • Design, build, and deploy components of a modern data platform, including CDC-based ingestion, a centralized data lake, and batch, incremental, and streaming pipelines.
  • Maintain and enhance the existing Amazon Redshift data warehouse and legacy Python ELT pipelines while supporting the transition to Databricks and dbt.
  • Build fault-tolerant, scalable, and cost-efficient data systems with improved observability, performance, and reliability.
  • Collaborate with cross-functional partners to plan and deliver data infrastructure and processing pipelines for analytics, machine learning, and GenAI use cases.
  • Support teams across Wave by ensuring data and insights are delivered accurately and on time.
  • Work independently to identify opportunities to optimize pipelines and improve data workflows under evolving requirements and tight timelines.
  • Respond to PagerDuty alerts, troubleshoot incidents, and implement monitoring and alerting to reduce incidents and maintain high availability.
  • Provide technical guidance to colleagues and help resolve issues through clear communication with technical and non-technical stakeholders.
  • Assess existing systems and improve data accessibility to support internal decision-making and customer-facing outcomes.

Requirements

  • 6+ years of experience building data pipelines and managing a secure, modern data stack.
  • At least 3 years of experience working with AWS cloud infrastructure.
  • Experience with CDC streaming ingestion using tools like Debezium into a data warehouse supporting AI/ML workloads.
  • Experience with Kafka (MSK), Spark or AWS Glue, and infrastructure as code using Terraform.
  • Fluency in SQL and a strong understanding of data modelling principles and data storage structures for OLTP and OLAP.
  • Experience developing or maintaining a production data system on Databricks.
  • Strong coding skills in Python, SQL, and dbt, with the ability to write and review maintainable code.
  • Prior experience building data lakes on S3 using Apache Hudi with Parquet, Avro, JSON, and CSV file formats.
  • Experience developing and deploying data pipeline solutions using CI/CD best practices.
  • Familiarity with data governance practices, including data quality, lineage, privacy, and cataloging tools (preferred).
  • Working knowledge of Stitch and Segment CDP for integrating diverse data sources (preferred).
  • Experience with Looker, Power BI, Athena, Redshift, or Sagemaker Feature Store is a plus.

Benefits

  • $145,000 - $154,000 annual salary, with final compensation based on experience and role alignment.
  • Bonus structure.
  • Employer-paid benefits plan.
  • Health & Wellness Flex Account.
  • Professional Development Account.
  • Wellness Days, Holiday Shutdown, and Wave Days with extra summer vacation days.
  • Get A-Wave program offering work from anywhere in the world for up to 90 days.

Interested in this position?

Apply directly on the company website

Apply Now

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