Data Engineer

We’re hiring an entry-level Junior Data Engineer to start in Atlanta and then work on client-facing projects for Fortune 500 companies across the country. If you have a foundation in programming, SQL, databases, data processing, and data engineering concepts, this is an opportunity to launch your career in data engineering while gaining hands-on experience with real-world projects and dedicated technical support.

• Hourly pay increases as you accumulate billable hours.
• Health, dental, and vision insurance.
• Corporate housing and relocation covered.
• 401(k) eligibility after one year.
• Exposure to Fortune 500 clients and projects.
• Dedicated support team and mentorship.
• Performance bonuses.
• 20+ years of placement expertise behind you.

Build your technical skills, gain client project experience, and increase your earning potential as you reach billable-hour milestones.

This isn’t just a job. It’s a launchpad for your data engineering career.

• Build a strong résumé: Gain hands‑on experience developing and supporting data pipelines and data integration solutions for enterprise clients.
• Develop your technical skills: Strengthen your knowledge of Python, SQL, ETL/ELT, databases, cloud platforms, and modern data engineering tools.
• Increase your earning potential: Your hourly rate grows as you reach billable‑hour milestones.
• Gain industry exposure: Collaborate with experienced engineers and client teams to build, test, and maintain reliable data solutions.
• Build future‑ready skills: Learn how to work with cloud‑based data platforms, automation, big data technologies, and scalable data architectures.

• Assist in developing, testing, and maintaining data pipelines for enterprise applications.
• Work with Python and SQL for data processing, transformation, and querying.
• Support ETL/ELT processes to extract, transform, and load data from different sources.
• Work with relational databases and structured or semi-structured data.
• Assist in data cleaning, validation, transformation, and quality checks.
• Support data integration between applications, databases, APIs, and cloud platforms.
• Learn and work with cloud technologies such as AWS or Microsoft Azure.
• Assist in monitoring data workflows, troubleshooting issues, and improving pipeline reliability.
• Work with data storage, data warehousing, and reporting solutions.
• Write clean, maintainable, and reusable code following development standards.
• Use Git and version control tools to collaborate with engineering teams.
• Collaborate with senior data engineers, cloud engineers, and client teams to deliver reliable data solutions.
• Stay updated on emerging data engineering technologies, tools, and best practices.

• A bachelor’s degree or higher in Computer Science, Information Technology, Software Engineering, or a related field is required.
• Basic programming knowledge in Python.
• Foundational knowledge of SQL and relational databases.
• Basic understanding of data structures and software development principles.
• Understanding of ETL/ELT processes and data pipeline concepts.
• Basic awareness of cloud computing concepts, such as AWS or Azure.
• Familiarity with databases, data processing, or data integration.
• Understanding of Git or other version control systems is preferred.
• Strong analytical and problem‑solving skills.
• Good communication skills, adaptability, and a willingness to learn new technologies.

• Exposure to Apache Spark, Hadoop, or other big data technologies.
• Familiarity with cloud data services on AWS or Microsoft Azure.
• Experience with data warehouses such as…