Remote
$140k–$200k
senior
2 months ago
full-time
quality 8.7/10
- Architect, design, lead and build end-to-end performant, reliable, scalable data platform.
- Mentor, guide and work with junior engineers.
- Collaborate with customers and internal stakeholders.
- Monitor, investigate, and resolve production issues.
- Create and maintain data pipelines and foundational datasets.
- Design and build database architectures.
- Develop audits for data quality.
- Create scalable dashboards and reports.
- 10+ years of experience in designing and delivering scalable data platforms.
- Experience with large-scale data processing pipelines.
- Proficiency in PySpark, Python, and SQL.
- Expertise in data modeling and relational databases.
- Experience with big data technologies and AWS stack.
- Knowledge of security best practices and data privacy concerns.
- Strong problem-solving skills.
- A fast-paced and collaborative environment.
- Learning and development allowance.
- Competitive cash and equity compensation.
- 100% medical, dental, and vision coverage.
- Up to $25K reimbursement for fertility, adoption, and parental planning services.
- Flexible PTO policy.
- Monthly wellness stipend.
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