Data Engineer - AWS/Dagster/Python
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Datum Brain
How to Apply?
Send your resume and a cover letter to careers@datumbrain.com.
Any emails received without the exact subject “[Q3 2025] Data Engineer - Datum Brain - Careers” will be discarded by the system automatically.
Work Location
This is an onsite position at our office location.
Responsibilities
- Build and maintain data pipelines using AWS services (S3, Lambda, Glue, Redshift, Athena)
- Implement data workflows and orchestration using Dagster
- Develop ETL/ELT processes for data integration and transformation
- Ensure data quality and implement data validation processes
- Collaborate with data analysts and scientists to understand data requirements
- Monitor and optimize data pipeline performance
- Maintain documentation for data processes and systems
- Participate in code reviews and contribute to best practices
- Support data infrastructure and troubleshoot data issues
- Work with cross-functional teams to deliver data solutions
- Mentoring junior engineers
Requirements
- Bachelor’s degree in Computer Science, Engineering, or related field
- 2-4 years of professional experience in data engineering
- Hands-on experience with AWS data services (S3, Glue, Lambda, Redshift)
- Working knowledge of Dagster for workflow orchestration
- Strong Python programming skills for data processing
- Experience with SQL and database technologies
- Understanding of ETL/ELT processes and data pipeline development
- Familiarity with data modeling and data warehousing concepts
- Experience with version control (Git) and CI/CD practices
- Good problem-solving and analytical skills
- Strong communication skills and ability to work in a team environment
Bonus Skills
- Experience with Apache Spark or PySpark
- Knowledge of Infrastructure as Code (Terraform, CloudFormation)
- Familiarity with data streaming technologies (Kinesis, Kafka)
- Experience with Docker and containerization
- Knowledge of Apache Airflow or other orchestration tools
- Understanding of data governance and security practices
- Experience with NoSQL databases
Benefits
- Competitive salary
- A friendly and collaborative work environment
- Clear career growth opportunities
- Fuel allowance provided in the form of cash (After the completion of the Probation Period)
- Friday lunch on the house
- Annual company trips
- Indoor and outdoor recreational activities to foster team bonding