Data Engineer
TEC Group
Data Engineer
55.00 to 65.00 per hour
Hybrid Preferred/ Remote possible About the Role
We're seeking a Data Engineer to support the development and optimization of scalable data infrastructure powering high-volume, data-intensive applications.
Key Responsibilities
Required Qualifications
Preferred Qualifications
What Success Looks Like
Work Environment
55.00 to 65.00 per hour
Hybrid Preferred/ Remote possible About the Role
We're seeking a Data Engineer to support the development and optimization of scalable data infrastructure powering high-volume, data-intensive applications.
Key Responsibilities
- Design, build, and maintain robust data pipelines for large-scale, distributed systems
- Develop and support backend services for high-throughput, data-intensive applications
- Optimize and manage SQL queries across both traditional RDBMS and modern lakehouse architectures
- Collaborate with engineering teams to deploy scalable services using Docker and CI/CD pipelines
- Monitor, troubleshoot, and improve data workflows to ensure reliability and performance
- Contribute to infrastructure automation and deployment processes
- Work independently to solve technical challenges while maintaining clear communication with stakeholders
Required Qualifications
- 3+ years of experience in infrastructure and software engineering with exposure to data engineering
- Strong proficiency in SQL across relational databases and lakehouse environments
- Experience building and supporting backend services in distributed systems
- Hands-on experience with CI/CD pipelines (e.g., GitHub, Jenkins) and containerization (Docker)
- Proficiency in Python, C#, Kafka, shell scripting, and Linux/Unix systems
- Proven ability to work independently and proactively in a remote environment
Preferred Qualifications
- Experience with Java
- Familiarity with cloud storage solutions (e.g., blob/object storage)
- Experience with infrastructure-as-code tools such as Terraform
- Exposure to Kubernetes for container orchestration
- Experience with workflow orchestration tools (e.g., Airflow, Cloud Composer)
- Familiarity with Apache Beam or similar data processing frameworks
What Success Looks Like
- Delivery of reliable, scalable data pipelines within the contract period
- Improved performance and stability of data systems
- Effective collaboration in a remote, fast-paced engineering environment
- Clear documentation and maintainable code for long-term usability
Work Environment
- Fully remote, asynchronous-friendly team
- High-impact role contributing to cutting-edge automation and data systems
- Opportunity to work with modern data infrastructure and distributed architectures
Vacancy posted 2 days ago
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