We are seeking a Data Engineer to join our team and contribute to the development of innovative data-driven solutions. The ideal candidate will have a passion for data analysis, machine learning, and artificial intelligence, with a strong desire to learn and grow in a dynamic environment.
Responsibilities- Support the planning and execution of data migration and integration initiatives
- Assist in the design, development, and maintenance of data pipelines and ETL workflows
- Work closely with data engineers and scientists to build and enhance machine learning models
- Contribute to the development and deployment of AI-driven applications and services
Minimum Requirements- US citizen or green card holder per client requirements
- Bachelor's degree
- 3 years of professional experience in data engineering or a related technical field
- 1 year of hands-on experience building, maintaining, or supporting data platforms.
- Strong understanding of programming principles and data structures
- 3 years' experience with Python
- Experience with AWS or Azure cloud platforms
- Experience developing ETL pipelines and familiarity with ETL frameworks
- Experience with Neo4j
Preferred Qualifications- Devops
- Experience in CI/CD pipeline developments
The base compensation range for this full-time position is between $85,000 - $100,000 plus benefits. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also take into consideration prior experience, relevant skills, education and/or training, certifications and, as applicable, other required qualifications. If you have questions regarding compensation, the talent acquisition team can provide relevant details during the interview process.
