This role requires a strong mix of data engineering, software engineering, cloud platform, and DevOps experience. The Senior Data Developer will build reusable solutions, automation, and standards that help other RDP teams deliver data products safely, consistently, and efficiently. As a senior member of the team, they will also help mentor others, improve engineering practices, and support critical platform initiatives.
About the role
Support the migration of Rocket Data Platform workloads from Redshift to Snowflake, including pipeline updates, data validation, database object migration, and platform automation.
Design, build, and maintain batch data pipelines using AWS Glue, Lambda, Step Functions, S3, and related cloud services.
Maintain and improve shared Glue ETL pipelines used across Rocket Data Platform.
Build and support database CI/CD capabilities for cloud-based data platforms.
Improve Glue Catalog consistency and support reliable data discovery, testing, and validation.
Develop automation and reusable engineering patterns that allow RDP teams to self-serve common data engineering and DevOps needs.
Support Data Science and MLOps use cases, including tooling for data consistency, model training integration, and production deployment support.
Troubleshoot production issues across data pipelines, platform services, APIs, and shared infrastructure.
Identify and resolve data quality, data consistency, performance, and scalability issues.
Partner with other RDP trains to support software and data engineering needs, including platform-impacting initiatives.
Improve observability, monitoring, alerting, and operational excellence for shared platform capabilities.
Work with cross-functional teams to define technical requirements, delivery plans, and reliable implementation patterns.
Mentor team members and help raise the engineering bar across the Enablement team.
Help leadership identify technical debt, delivery risks, process gaps, and opportunities to improve team flow and platform reliability.
About you
Minimum Qualifications
7+ years of experience, or equivalent competency, building and supporting data solutions across relational and non-relational databases, cloud data platforms, and batch data pipelines.
5+ years of experience, or equivalent competency, analyzing data, systems, and pipelines to identify gaps, inconsistencies, risks, and improvement opportunities.
Strong experience designing and maintaining data pipelines using AWS services such as Glue, Lambda, Step Functions, S3, and related platform capabilities.
Experience with distributed data processing frameworks such as Spark and Flink.
Expertise writing, optimizing, debugging, and troubleshooting SQL across data warehouse platforms such as Redshift and Snowflake.
Experience supporting data warehouse migration, modernization, or platform transformation efforts.
Experience with CI/CD, automated deployments, infrastructure-as-code, and DevOps practices for data platforms.
Proficiency in at least one programming language such as Python, Java, or C#.
Experience debugging and troubleshooting production data, software, and platform issues.
Knowledge of Linux, shell scripting, cloud networking basics, and operational support practices.
Experience developing, integrating with, or supporting REST APIs and data services.
Experience working with cross-functional engineering, data science, analytics, and product teams.
Preferred Qualifications
Degree or equivalent competency in computer science, information technology, data engineering, or a related field.
5+ years of experience with big data, distributed data processing, and cloud-native data engineering tools.
Experience with Snowflake, Redshift, AWS Glue, Glue Catalog, Airflow/MWAA, Lambda, Step Functions, S3, Spark, and Flink.
Experience with Kubernetes, containerized workloads, and cloud-native deployment patterns.
Experience building reusable platform capabilities, shared engineering patterns, and self-service tools for other engineering teams.
Experience supporting MLOps, data science workflows, model training pipelines, or production model deployment.
Experience with database CI/CD, schema change automation, data validation, and environment consistency across non-production and production.
Experience improving observability, operational excellence, monitoring, and alerting for data pipelines and platform services.
Experience mentoring engineers and helping teams adopt platform standards and best practices.
What you’ll get
Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We’ve got your back. Check out our full list of Benefits and Perks.
About us
Rocket Innovation Studio (RIS) launched in 2019 and has gone on to make its mark in the Canadian fintech industry. Headquartered at 156 Chatham Street in Windsor, Ontario, the company renovated the historic building which began as an auto showroom and garage before becoming a furniture store, the Old Fish Market, the Coach and Horses Pub, and the Loop.
With the backing of Rocket Companies®, RIS is able to capitalize on the creativity and growth of a startup environment with the stability and enterprise experience of a mature company. At RIS, Canadian talent is able to collaborate, design, build, test and return a full range of custom IT solutions. RIS is leading the charge to make Windsor Canada's tech hub. Apply today to join a team that offers career growth, amazing benefits and the chance to work with leading industry professionals.
This posting is for an existing vacancy for a Senior Data Developer at Rocket Innovation Studio. The compensation for this position is $103,250.00-$153,250.00. The position may also be eligible for an annual bonus, incentives, and other employment-related benefits including, but not limited to, medical, dental, and vision benefits, retirement plan, and paid time off. More information regarding these benefits and others can be found here. The information regarding compensation and other benefits included in this paragraph is only an estimate and is subject to revision from time to time as the Company, in its sole and exclusive discretion, deems appropriate. The Company may determine during its review of the proposed compensation and benefits provided for this position, that the compensation and benefits for such position should be reduced. In no event will the Company reduce the compensation for the position to a level below the applicable jurisdictional minimum wage rate for the position.
Our Talent Acquisition team uses artificial intelligence to assist in screening, assessing, or selecting applicants. Our hiring process is never completely automated and uses AI in conjunction with our recruiting and talent acquisition professionals.
