Senior Data Engineer
DC-Washington-TWP Headquarters, United States
USD 119K-199K Senior-level Full Time
Tasks
- Build DAGs with Apache Airflow
- Build and deploy ETL and ELT workflows
- Collaborate with cross-functional teams to define requirements and deliver features
- Create technical documentation and design specifications
- Deploy and maintain scalable secure data solutions
- Design data pipelines for AI systems
- Develop data models for analytics
- Implement event driven data processing
- Mentor junior engineers and review code
- Monitor performance and application health
- Query and analyze large datasets using SQL
- Write maintainable code with testing and code reviews
Perks/Benefits
- 401k match
- Backup care and caregiver concierge services
- Career Development Programs
- Company-paid pension
- Free post digital subscription
- Gender affirming services
- Leadership programs
- Medical, dental, and vision coverage
- Mental health resources
- Paid Holidays
- Paid parental leave
- Paid sick leave
- Paid vacation
- Personal days
- Pet insurance
Skills/Tech-stack
AWS Glue | AWS Lambda | Amazon Athena | Amazon ECS | Amazon EMR | Amazon Redshift | Amazon S3 | Amazon Web Services | Apache Airflow | Apache Iceberg | CI/CD | Code review | Data Modeling | Datadog | Docker | DynamoDB | EC2 | ELT | ETL | Event Driven | Event-driven architecture | Flink | MySQL | PostgreSQL | PubSub | PySpark | Python | RDS | SQL | Spark | Splunk | Testing | Version control | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
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