Senior Data Developer

Rocket Companies•Windsor, ON

1d•CA$103,250 - CA$153,250

About The Position

As the Senior Data Developer, you'll join the Rocket Data Platform Enablement team and help build, operate, and modernize shared data platform capabilities used across RDP. This role will focus on supporting the Redshift to Snowflake migration, maintaining common Glue ETL pipelines, improving database CI/CD, strengthening Glue Catalog consistency, and enabling DevOps and MLOps capabilities for data engineering and data science teams. 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.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.