Junior Data Engineer
Brooksource
Junior Data Engineer Charlotte, NC Hybrid; three days onsite, two days remote We cannot provide sponsorship at this time. ABOUT THE ROLE Our client, a Fortune 200 banking partner, is seeking a motivated Junior Data Engineer to join their data engineering team in Charlotte, NC, on a hybrid schedule (three days onsite, two days remote). This contract role is ideal for entry level candidates or early-career professionals interested in building and maintaining data pipelines, working with cloud technologies such as AWS and Snowflake, and supporting data-driven solutions. As a Junior Data Engineer, you will partner with experienced engineers to develop, maintain, and improve data platforms that support analytics, reporting, and business operations. You will gain hands-on experience with AI-powered development tools, participate in Agile Scrum ceremonies, and collaborate with cross-functional teams in a growth-oriented environment. This is a 12-to-24-month contract position through Brooksource, with the potential for future conversion based on performance and business needs. Sponsorship is not available for this role. WHAT YOU'LL DO
- Assist in developing and maintaining batch and near real-time data pipelines using SQL and Python
- Support data ingestion, transformation, and processing activities within Snowflake and AWS environments
- Create and maintain datasets, data models, and reporting assets for analytics and business teams
- Contribute to ETL/ELT workflows integrating data from various source systems
- Participate in testing and troubleshooting data pipelines to ensure accuracy and reliability
- Learn and apply data engineering best practices for scalability, performance, and security
- Work with AWS services (S3, Lambda, Glue) and other data-focused technologies under the guidance of senior engineers
- Assist with maintenance and support of cloud-based data warehouses and data lake environments
- Monitor data processing jobs and help identify opportunities for performance improvements
- Support data quality and governance initiatives by validating, documenting, and tracking data assets
- Gain exposure to data lineage, observability, and monitoring tools used across the data platform
- Utilize AI-powered development tools and coding assistants to improve productivity and learning
- Leverage generative AI tools for code development, documentation, testing, and troubleshooting
- Support automation efforts by identifying repetitive tasks that can be improved through technology and AI solutions
- Learn and follow responsible AI, security, and governance practices established by the organization
- Use GitLab or similar version control systems for code management and collaboration
- Participate in CI/CD processes, code reviews, testing, and deployment activities
- Assist with troubleshooting production issues and documenting resolutions
- Help create and maintain technical documentation, process guides, and reusable engineering resources
- Follow established software development and DevOps best practices
- Participate in Agile Scrum ceremonies, including daily standups, sprint planning, sprint reviews, and retrospectives
- Collaborate with engineers, analysts, and business stakeholders to understand project requirements
- Support the design and implementation of technical solutions while learning data architecture and modeling concepts
- Contribute ideas and feedback to improve team processes and project outcomes
- Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience)
- Experience with SQL and Python for data pipeline development and maintenance
- Familiarity with cloud platforms, especially AWS (S3, Lambda, Glue) and Snowflake
- Understanding of ETL/ELT processes and data integration concepts
- Knowledge of version control systems such as GitLab or similar
- Exposure to Agile methodologies and collaborative team environments
- Strong problem-solving and troubleshooting skills
- Interest in learning and applying AI-powered development tools
- Excellent communication and documentation abilities
- Work authorization in the United States (sponsorship not available)
- Opportunity to work with a Fortune 200 banking partner on innovative customer experience platforms
- 12-to-24-month contract through Brooksource, with potential for future conversion based on performance and business need
- Collaborative, growth-oriented team culture
- Hands-on experience with modern data engineering and AI tools
- Exposure to cloud data platforms and best practices in data engineering, DevOps, and Agile methodologies
Vacancy posted 4 days ago
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