Junior Data Engineer

Junior Data Engineer

• Charlotte, NC (Hybrid; three days onsite, two days remote)
• First year on contract: $32 - $34/hourly (depending on experience)
• 12-to-24-month contract through Brooksource, with potential for future conversion based on performance and business need

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. This 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 also gain hands-on experience with AI-powered development tools, participate in Agile Scrum ceremonies, and collaborate with cross-functional teams in a collaborative, growth-oriented environment. This is a 12-to-24-month contract position 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

WHAT YOU BRING

• 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)

WHAT'S IN IT FOR YOU

• Opportunity to work with a Fortune 200 banking partner on innovative customer experience platforms
• Long-term contract 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

Brooksource and Eight Eleven Group provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, gender, sexual orientation, gender identity, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws.