ETL Engineer III

Key Skills

Amazon Simple Storage Service (S3), Analytical and Problem solving, AWS, AWS Glue, Data Modeling, Data Warehousing, Effective communication skills, ETL frameworks, IT, Lambda, Machine learning techniques, Natural Language Processing (NLP), Python Programming, PyTorch, Scikit-learn, TensorFlow

Job Description

Transform technology into opportunity as an experienced Top secret eligible cleared ETL Engineer with GDIT. A career in enterprise IT means connecting and enhancing the systems that matter most. At GDIT you’ll be at the forefront of innovation and play a meaningful part in improving how agencies operate.

At GDIT, people are our differentiator. As an ETL Engineer you will help ensure today is safe and tomorrow is smarter. Our work depends on an ETL Engineer joining our team to work with a GOTS-based Extract, Transform and Load (ETL) system that loads information into Postgres database with billions of rows and deals with a file repository that is in a Petabyte range. In addition, the candidate will be highly involved in the engineering planning and transition of the existing system software / data into a Cloud-based (currently AWS) solution. 

HOW AN ETL ENGINEER WILL MAKE AN IMPACT

• This position will provide the ability to make a significant impact to the mission while also allowing the candidate to grow their skills and career.
• Successful candidate will need to be able to maintain existing software as the transition from server-based to cloud-based occurs
• Apply machine learning techniques in the field of NLP to process unstructured data effectively.
• Develop parsers to extract relevant information from different media types to transform it into structured and searchable entities.
• Create and refine domain-specific taxonomies to ensure accurate classification and organization of data.
• Collaborate with cross-functional teams, including data scientists and domain experts, to understand specific requirements and design effective NLP-based data processing solutions.
• Implement data pipelines using AWS cloud services, such as AWS Glue, AWS Lambda, and AWS S3, to ensure scalability, reliability, and efficiency in processing large volumes of data.
• Optimize ETL processes to ensure high performance, data quality, and data consistency throughout the data pipeline.
• Collaborate with stakeholders to understand their needs and provide technical guidance and support for NLP-related tasks.

WHAT YOU’LL NEED TO SUCCEED:

• Proficiency in programming languages such as Python, along with experience working with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong understanding of ETL processes and best practices, with hands-on experience in building and maintaining data pipelines.
• Familiarity with AWS cloud services, particularly AWS Glue, AWS Lambda, and AWS S3, for implementing scalable and efficient data pipelines.
• Solid knowledge of data modeling, data warehousing, and data governance concepts.
• Excellent problem-solving skills and the ability to work independently as well as collaboratively in a team environment.
• Strong communication skills to effectively collaborate with stakeholders and present complex ideas and solutions in a clear and concise manner.
• Current in scope investigation for eligibility of Top Secret clearance required at time of application

GDIT IS YOUR PLACE:

401K with company match

Comprehensive health and wellness packages

Internal mobility team dedicated to helping you own your career

Professional growth opportunities including paid education and certifications

Cutting-edge technology you can learn from

Rest and recharge with paid vacation and holidays