Lead Software Engineer - Databricks, Spark, AWS
USD 179K-215K (estimate) Senior-level Full Time
Tasks
- Build data ingestion and transformation frameworks
- Build reusable Python and Java libraries and APIs
- Deploy infrastructure with Terraform
- Design secure data ingestion and transformation
- Drive Spark performance engineering
- Enforce data quality, lineage, and governance
- Enforce encryption and least privilege access
- Establish lakehouse patterns with Delta Lake
- Establish observability and runbooks
- Implement CI/CD for data projects
- Integrate AWS eventing and orchestration
- Lead data pipeline architecture and delivery
- Lead incident response and root cause analysis
- Orchestrate jobs with Databricks Workflows
- Oversee unit and integration testing
- Own Databricks cluster strategy and setup
Perks/Benefits
- Backup childcare
- Financial coaching
- Health care coverage
- Mental health support
- On-site health and wellness centers
- Retirement savings plan
- Tuition reimbursement
Skills/Tech-stack
AWS CloudWatch | AWS Glue | AWS IAM | AWS Lambda | AWS S3 | AWS Secrets | AWS Secrets Manager | Amazon Kinesis | Amazon MSK | Apache Spark | CI/CD | Data Governance | Data Lineage | Data Quality | Databricks | Delta Lake | Git | JUnit | Java | Kafka | Pytest | Python | SQL | Secrets Manager | Spark SQL | Structured Streaming | Terraform | Unity Catalog
Education
N/A
Roles
Engineer | Lead | Lead Software Engineer | Software Engineer
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