Junior Data Engineer - AI & ML Data Pipelines (Hybrid)

ecsfederal; Virginia (MN, WA); Hybrid; USD 105,000 - 126,000; Full time

Job summary

Everforth ECS is seeking a Jr Data Engineer to support the development and integration of AI and Cloud Solutions from a hybrid on-site/off-site capacity in Virginia. The role involves data extraction, transformation, and standardization to prepare datasets for ML environments, including text, JSON, and geospatial data.

The position requires 0-2+ years of related experience, a bachelor’s degree, and the ability to work in a fast-paced, deadline-driven environment on a national security-focused

Qualifications

• Experience with Python and SQL.
• Experience transforming and manipulating data sets.
• Experience with geospatial data processing.
• Coursework or experience in text/JSON data mining and parsing.

Responsibilities

• Participate in technical exchange meetings with customers, vendors, and internal team to coordinate datasets for AI efforts.
• Work with software engineers to extract, transform and standardize data for ML environments.
• Support continuous data ingest automation and ML algorithm integration for testing and deployment.
• Assist with design and development of data services and data pipelines.
• Coordinate with Project Manager and Data Team to determine data requirements and advocate for data needs.

Skills

Python

SQL

Data transformation

Geospatial data

Text/JSON data

Education

Bachelor's Degree in Data Science or related field

Job description

Everforth ECS is seeking a Jr Data Engineer to support the development and integration of AI and Cloud Solutions from a hybrid on-site/off-site capacity in Virginia. The role involves data extraction, transformation, and standardization to prepare datasets for ML environments, including text, JSON, and geospatial data.

The position requires 0-2+ years of related experience, a bachelor’s degree, and the ability to work in a fast-paced, deadline-driven environment on a national security-focused