Responsibilities
- Collaborate with diverse project teams operating both in-person and remotely
- Lead strategic planning and technical implementation of Big Data and cloud platforms supporting advanced analytics and data science initiatives
- Architect, develop, and maintain modern data systems within public cloud or multi-cloud enterprise environments
- Combine technical execution with leadership communication and project management responsibilities
- Orchestrate data pipelines using contemporary Data Engineering frameworks and integrate with legacy transactional systems
- Develop and deploy data pipelines that enable analytics and machine learning on complex datasets
- Build, deploy, secure, monitor, and maintain data processing infrastructure
- Design automated, scalable pipelines for ingesting and processing structured and unstructured data into analytical systems using batch and real-time methods via cloud-native technologies
- Develop custom solutions using cloud-native services such as Kinesis and Lambda to support streaming data requirements
- Design and manage data storage systems including SQL and NoSQL databases
- Develop and sustain ELT workflows for populating data lakes in platforms like Snowflake, Cloud Storage, or Hadoop
- Create APIs to enable enterprise applications to access data from analytical repositories
- Select appropriate technologies to deliver modern, maintainable, and testable data solutions
- Respond to internal and client inquiries and support resolution of technical issues
- Collaborate with scrum team members to estimate tasks and deliver work within agile sprints
- Investigate data-related issues, determine root causes, and engage with business and technical stakeholders
Benefits
- Medical, dental, and vision insurance coverage
- 401(k) retirement savings plan
- Paid company-observed holidays
- Paid time off
- Paid leave for parents and caregivers
- Additional benefits available
Work Arrangement
Hybrid — includes both on-site and remote work options
Use of AI in hiring process
AI tools may be used to review applications, analyze resumes, assess candidate responses, or capture recordings and generate transcriptions or summaries during interviews. Final hiring decisions are made by human reviewers.
Opt-out of AI review
Candidates can opt out of AI-based application and resume review by submitting a General Application and specifying the desired role in the Additional Information field.
Opt-out of recording and transcription
Candidates may choose to opt out of interview recording and transcription at any point, including during or after an interview session.
No penalty for opting out
Candidates will not face any disadvantage or penalty for choosing to opt out of AI review, recording, or transcription processes.
