Senior Data Engineer
Detroit, MI · On-site
$104K - $142K/yr
Job Summary : Rocket is a Detroit-based company providing digital solutions for complex ... ensure data quality while driving best practices across the data engineering lifecycle.
4 Rocket Quality Assurance Engineer Jobs Hiring Near You
Senior Data Engineer
Detroit, MI · On-site
$104K - $142K/yr
Job Summary : Rocket is a Detroit-based company providing digital solutions for complex ... ensure data quality while driving best practices across the data engineering lifecycle.
Software Engineering Manager
Detroit, MI · On-site
Job Summary : Rocket is a Detroit-based company committed to helping everyone achieve their ... quality and craftsmanship • Communicate and promote the culture and mission of the company • ...
Software Engineering Manager
Detroit, MI · On-site
Job Summary : Rocket is a Detroit-based company committed to helping everyone achieve their ... quality and craftsmanship • Communicate and promote the culture and mission of the company • ...
Senior Hospitality Experience Associate Bedrock is an award-winning real estate developer focused ... quality. Contribute recommendations for operational systems, processes, and best practices to ...
Senior Hospitality Experience Associate Bedrock is an award-winning real estate developer focused ... quality. Contribute recommendations for operational systems, processes, and best practices to ...
ABOUT BEDROCK Bedrock is an award-winning real estate developer focused on comprehensive city ... quality. * Contribute recommendations for operational systems, processes, and best practices to ...
ABOUT BEDROCK Bedrock is an award-winning real estate developer focused on comprehensive city ... quality. * Contribute recommendations for operational systems, processes, and best practices to ...
Rocket Jobs Information
What is it like to work at Rocket?
Rocket is a company that values innovation, collaboration, and customer-centricity, fostering a dynamic and fast-paced work environment.
The company's team structure is organized around mission-driven pods, allowing employees to work closely with cross-functional teams and contribute to the development of cutting-edge space technology. Rocket's work environment is characterized by an open layout, with access to state-of-the-art facilities and equipment.
Working at Rocket may appeal to individuals who are passionate about space exploration and innovation, as the company offers opportunities to be part of a pioneering team that is shaping the future of space travel and technology.
The company's team structure is organized around mission-driven pods, allowing employees to work closely with cross-functional teams and contribute to the development of cutting-edge space technology. Rocket's work environment is characterized by an open layout, with access to state-of-the-art facilities and equipment.
Working at Rocket may appeal to individuals who are passionate about space exploration and innovation, as the company offers opportunities to be part of a pioneering team that is shaping the future of space travel and technology.
What makes Rocket an attractive place to work?
Rocket is a leading provider of cloud-based software solutions, known for its innovative approach to customer engagement and experience management. The company's workplace culture values collaboration, creativity, and continuous learning, with opportunities for employees to work on diverse projects and contribute to the development of cutting-edge technology. Joining Rocket can provide professionals with a chance to drive business growth, develop their skills, and make a meaningful impact in the industry.
What other companies are hiring for Quality Assurance Engineer jobs?
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Job description
Job Summary:
Rocket is a Detroit-based company providing digital solutions for complex transactions. As a Senior Data Engineer, you'll design, develop, and maintain data platforms, mentor team members, and ensure data quality while driving best practices across the data engineering lifecycle.
Responsibilities:
• Develop ETL and ELT processes to source and curate data from various enterprise systems, ensuring speed and quality of delivery
• Develop tabular and dimensional data models to support analytical and operational use cases
• Build and maintain data processing jobs to refresh data on a regular cadence
• Guide the identification, investigation, and resolution of data quality issues, ensuring data is secure and reliable
• Utilize advanced debugging techniques to troubleshoot complex data pipeline and processing issues
• Lead code review sessions with a focus on performance, scalability, and maintainability
• Work in a hybrid data environment spanning on-premises and cloud data platforms
• Develop relational and non-relational data models to meet user and business needs
• Proactively identify upstream and downstream dependencies that may impact pipeline performance or reliability
• Monitor and address performance and scalability issues across large-scale data platforms
• Participate in on-call rotations for incident management and production support
• Mentor team members and contribute to their technical development
• Partner with leadership to identify and address technical debt and improve team processes
• Stay current on industry trends and promote adoption of best practices across the team
• Contribute to engineering community initiatives to increase visibility into data engineering work
Qualifications:
Required:
• 7 years of experience building data solutions, including relational and non-relational databases and batch/real-time data pipelines using cloud services
• 5 years of experience with dimensional or tabular data modeling
• Experience designing and developing complex data transformation pipelines
• 5 years of experience with CI/CD and automated deployments
• Expertise writing complex queries (SQL/NoSQL)
• Expertise in performance tuning, debugging, and troubleshooting data processing jobs, including ETLs
• 5 years of experience in Python development, including AWS Lambda functions
• Proficiency in a functional or object-oriented programming language
• Strong understanding of database and server internals
• Knowledge of Linux system administration, shell scripting, and basic networking
• Experience developing and consuming REST APIs
Preferred:
• Degree (or equivalent experience) in computer science, information technology, or a related field
• Knowledge of disaster recovery and backup strategies for data systems
• Experience mentoring and developing other engineers
Company:
Own the Dream. Mortgage services provided by Rocket Mortgage, LLC. NMLSConsumerAccess.org, NMLS #3030 Founded in 1985, the company is headquartered in Detroit, USA, with a team of 10001+ employees. The company is currently Late Stage.
Rocket is a Detroit-based company providing digital solutions for complex transactions. As a Senior Data Engineer, you'll design, develop, and maintain data platforms, mentor team members, and ensure data quality while driving best practices across the data engineering lifecycle.
Responsibilities:
• Develop ETL and ELT processes to source and curate data from various enterprise systems, ensuring speed and quality of delivery
• Develop tabular and dimensional data models to support analytical and operational use cases
• Build and maintain data processing jobs to refresh data on a regular cadence
• Guide the identification, investigation, and resolution of data quality issues, ensuring data is secure and reliable
• Utilize advanced debugging techniques to troubleshoot complex data pipeline and processing issues
• Lead code review sessions with a focus on performance, scalability, and maintainability
• Work in a hybrid data environment spanning on-premises and cloud data platforms
• Develop relational and non-relational data models to meet user and business needs
• Proactively identify upstream and downstream dependencies that may impact pipeline performance or reliability
• Monitor and address performance and scalability issues across large-scale data platforms
• Participate in on-call rotations for incident management and production support
• Mentor team members and contribute to their technical development
• Partner with leadership to identify and address technical debt and improve team processes
• Stay current on industry trends and promote adoption of best practices across the team
• Contribute to engineering community initiatives to increase visibility into data engineering work
Qualifications:
Required:
• 7 years of experience building data solutions, including relational and non-relational databases and batch/real-time data pipelines using cloud services
• 5 years of experience with dimensional or tabular data modeling
• Experience designing and developing complex data transformation pipelines
• 5 years of experience with CI/CD and automated deployments
• Expertise writing complex queries (SQL/NoSQL)
• Expertise in performance tuning, debugging, and troubleshooting data processing jobs, including ETLs
• 5 years of experience in Python development, including AWS Lambda functions
• Proficiency in a functional or object-oriented programming language
• Strong understanding of database and server internals
• Knowledge of Linux system administration, shell scripting, and basic networking
• Experience developing and consuming REST APIs
Preferred:
• Degree (or equivalent experience) in computer science, information technology, or a related field
• Knowledge of disaster recovery and backup strategies for data systems
• Experience mentoring and developing other engineers
Company:
Own the Dream. Mortgage services provided by Rocket Mortgage, LLC. NMLSConsumerAccess.org, NMLS #3030 Founded in 1985, the company is headquartered in Detroit, USA, with a team of 10001+ employees. The company is currently Late Stage.