Data Engineer (DataOps & Infrastructure Focus)
Tasks
- Architect data infrastructure on AWS
- Automate data infrastructure with Terraform or CDK
- Build CI CD pipelines for dbt and AWS Glue Spark
- Build and optimize data pipelines and tables
- Detect schema drift and data quality regressions
- Enable audit ready logging and RBAC MFA compliance
- Engineer DataOps for pipeline failure triage
- Implement IAM automation and encryption
- Maintain secure resilient data environments across SDLC
- Manage orchestration with Airflow MWAA
- Operationalize cost optimization signals
- Perform root cause analysis for data pipeline failures
- Test deploy and monitor governed data assets
- Use Apache Iceberg for governed analytics tables
Perks/Benefits
- Continual development
- Flexible work environment
- Health and wellness benefits
- Internal career growth opportunities
- Paid time off
- Volunteer time off
Skills/Tech-stack
AWS | AWS CDK | AWS Glue | AWS Lambda | Amazon EMR | Amazon MWAA | Amazon Redshift | Amazon S3 | Apache Airflow | Apache Iceberg | Apache Spark | Audit Logging | CDC | CI/CD | DBT | Data Modeling | Data Quality | Data Vault | Encryption | Git | IAM | Infrastructure as Code | Kimball | MFA | Observability | Python | RBAC | SQL | Schema drift | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Engineer | DataOps Engineer | Engineer | Platform | Platform Engineer
Regions
Countries
States
Cities
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