Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $135,000 – $160,000 annually
Responsibilities
- Design, build, and maintain scalable data pipelines and ETL/ELT processes
- Architect and optimize data models and storage solutions for different use cases
- Collaborate with data scientists, analysts, and engineers to ensure data quality
- Own and evolve parts of the data platform using Databricks and Spark
- Implement observability and data quality monitoring for critical pipelines
- Drive best practices in data engineering including CI/CD and documentation
- Contribute to the design of the next-generation data lakehouse architecture
- 8+ years of experience in Data Engineering or a related backend engineering role
- Bachelor's degree in Computer Science, Engineering, or a similar technical field
- Expertise in tuning Spark jobs and managing Delta Lake architecture
- Experience with AI-assisted development tools and AI/ML technologies
- Strong programming skills in Python, Scala, or Java
- Experience with distributed data systems like Spark or Kafka
- Proficient in writing and optimizing complex SQL and NoSQL queries
- Parental leave policy
- Paid volunteer time off (VTO)
- Diversity and inclusion working groups
- Flexible working practices
- Recognition as a leader in software supply chain security and diversity initiatives





