Related skills
dynamodb s3 python kubernetes databricks📋 Description
- Design, build, and operate high-scale data ingestion into the data lakehouse.
- Build and maintain reliable, scalable data platform infra for petabytes of data.
- Improve reliability, observability, and security of Spark/Databricks pipelines.
- Develop internal libraries and tooling in Go and Python for data movement.
- Work on Delta Lake on S3, catalogs, metadata, and orchestration.
- Collaborate with infra, data science, analytics, security, and product teams to deliver durable solutions.
🎯 Requirements
- 4+ years of professional software engineering in production.
- 4+ years building or maintaining large-scale production data infra.
- Strong experience with Apache Spark or similar distributed systems.
- Experience operating production infra in AWS (S3, RDS, DynamoDB, SQS, Kinesis, Lambda).
- Proficiency in Go or Python (production language).
- Ability to collaborate effectively with cross-functional partners.
🎁 Benefits
- Equity (RSU) grant with no vesting cliff and refresh opportunities.
- Flexible remote model with optional in-person offices.
- Professional development stipend.
- Comprehensive health and parental leave plans.
- Total rewards include equity and performance-based opportunities.
- Inclusive, supportive culture with accommodations available.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!