Responsibilities
- Design and implement scalable and dependable data infrastructure that enables analytics, machine learning, and operational workflows across the organization.
- Develop high-throughput data processing systems and storage architectures tailored to the performance needs of AI and cloud infrastructure.
- Ensure data accuracy and system dependability by deploying validation, monitoring, and observability tooling at scale.
- Work closely with engineering, data science, and operations teams to define requirements and deliver effective data solutions.
- Promote engineering best practices, guide architectural direction, and support the growth and development of team members.
Benefits
- Competitive salary and total compensation package
- Grant of restricted stock units as part of compensation
- Paid time off and observed public holidays
- Full health, dental, and vision insurance coverage
- Employer-funded contributions to a health savings account
- Paid leave for new parents
- Company-paid life insurance and short- and long-term disability coverage
- Support for professional growth and tuition reimbursement
- Resources and services for mental health and wellness
- Commuter benefits covering parking and public transit
- Monthly stipend for personal cell phone use
- 401(k) retirement plan with company match up to 4% of earnings
- Paid time off for community volunteering
Compensation
Competitive compensation including Restricted Stock Units
Team
Engineering team focused on data infrastructure and platform scalability
Other
- This position is full-time and requires on-site presence.
- Remote work is not an option for this role.
- Compensation package includes Restricted Stock Units.
- Employment decisions are made without discrimination based on race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex, sexual orientation, gender identity, age, veteran status, national origin, or other legally protected status.
Not specified
