Trace3 is looking for a Data Engineer to develop, optimize, and manage data ingestion, transformation, and storage processes using modern frameworks. The role involves implementing infrastructure-as-code and automation solutions to streamline data processing workflows and working with data science and analytics teams to create and optimize data and machine learning models.
Requirements
- Strong programming skills in languages such as Python and Terraform
- Strong understanding of data architecture, data modeling, and data warehousing concepts
- Experience with data pipeline tools such as Apache Spark, Apache Kafka, AWS Kinesis
- Experience with Artificial Intelligence and Machine Learning technologies
- Strong understanding of data security and compliance principles and practices
- Excellent problem-solving skills, with the ability to analyze complex data systems and identify areas for improvement
- Experience with cloud-based data platforms such as AWS and Azure
Responsibilities
- Design, build, and maintain large-scale data systems, including data warehouses, data lakes, and data pipelines
- Develop and implement data architectures that meet the needs of our business stakeholders
- Collaborate with data scientists and analysts to develop and deploy machine learning models and data products
- Ensure data quality, security, and compliance with standards
- Develop and maintain technical documentation of data systems and architectures
- Troubleshoot and resolve data-related issues and optimize system performance
- Develop and implement automated testing and deployment scripts to ensure smooth and efficient delivery of data solutions
Other
- U.S. Citizenship is required for this role
- Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent combination of education and experience)
- 7+ years of experience in data engineering, software development, or a related field
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
- The selected candidate will need to be located within 30-50 minutes of one of the following locations due to a potential hybrid schedule: Dallas, TX, Central Florida, King of Prussia, PA, Stratford, CT, Denver, CO, Marietta, GA
