Staff Data Engineer

Rezdy•, (Multiple States)

13d•Remote

About The Position

We are looking for a Staff Data Engineer with significant experience to join our data team. Our data platform powers analytics for both internal business users and external customers, and plays a key role in enabling data-driven decision-making across the organization. In this role, you will focus on evolving our existing data platform and investing in its reliability, performance, and scalability. You will work closely with internal stakeholders to design and implement new data models in our Enterprise Data Warehouse as new reporting and analytics requirements emerge. The platform currently supports data and analytics needs across Checkfront, Manifest, Regiondo, and Rezdy, and provides reporting capabilities for both operational teams and customers. Our modern data stack includes Google BigQuery, Fivetran, dbt, Metabase, and GoodData. This is a great opportunity for someone who enjoys working with mature data platforms, improving existing pipelines, and delivering high-quality analytics that directly support business outcomes. This is a remote position working primarily Pacific Time hours in Canada or the United States.

Requirements

Significant experience designing, building, and operating high-scale, distributed data platforms.
Strong experience with SQL and data modeling in modern cloud data warehouses.
Hands-on experience with Google BigQuery.
Experience using dbt for transformation and data modeling.
Experience with data ingestion tools such as Fivetran or similar ELT platforms.
Experience supporting analytics platforms or BI tools.
Strong understanding of data warehousing concepts and dimensional modeling.
Expertise in maintaining and operating production data pipelines and platforms.
Ability to work with business stakeholders to translate requirements into scalable data models.
Strong troubleshooting and problem-solving skills.
Excellent communication and documentation skills.
Proven track record of mentoring engineers and improving technical standards.
Experience leading large-scale architectural migrations.
Ability to influence cross-functional roadmaps and communicate complex technical concepts.

Responsibilities

Architect and evolve our data platform for scale and reliability
Define and implement advanced platform engineering test practices, including automated data integrity checks and CI/CD pipelines to ensure data quality
Act as a technical leader and mentor for the data engineering team, setting standards for system design and platform reliability
Maintain and support the enterprise data platform and existing data pipelines.
Ensure reliable data ingestion, transformation, and reporting across Checkfront, Manifest, Regiondo, and Rezdy
Monitor, troubleshoot, and resolve issues across the data stack to ensure data accuracy and availability.
Work closely with internal business users to understand their reporting and analytics requirements.
Design and implement new data models in BigQuery using dbt based on business needs.
Maintain and manage data ingestion pipelines.
Deliver clean, well-structured datasets that power reporting and dashboards in GoodData or Google Sheets.
Optimize BigQuery queries and data models for performance and cost efficiency.
Ensure data quality, documentation, and governance across the data platform.
Set up a testing and validation framework to automatically ensure data integrity across the platform.
Contribute to data platform monitoring, alerting, and platform reliability.