Jr Data Engineer

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 work in a hybrid remote/onsite capacity, with minimum of 3 business days onsite at our Fairfax, VA corporate office and/or our Springfield, VA customer site.

Everforth ECS seeks a Jr Data Engineer to support the development and integration of Artificial Intelligence (AI) and Cloud Solutions. The candidate has experience and/or coursework in exploring, mining, parsing, and transforming text and JSON data. The candidate has experience and/or coursework in processing geospatial data. The work is performed in a multidisciplinary small team environment. The candidate is highly motivated and enthusiastic about implementing new technologies where deadlines are important to national security. The candidate will be contributing to a pathfinder program for the Department of Defense (DoD) that has the potential to change the way we gather and share intelligence.

Position Responsibilities:

• Participate in technical exchange meetings and discussions with our customers, vendors, and internal team to help coordinate, prioritize, and track datasets supporting AI efforts
• Work closely with software engineers and architects to extract,transform and standardize data to prepare for ingest into Machine Learning (ML) development environments
• Support continuous process automation for data ingest
• Support the integration of ML algorithms for testing and operational deployment
• Assist with the design and development of data services and pipelines
• Coordinate with the Project Manager and Data Team to determine data requirements and to serve as the project data advocate
• Perform multiple tasks simultaneously and successfully under changing priorities and deadlines
• Help cultivate an environment that promotes customer service, excellence, innovation, collaboration, and teamwork

We are a rapidly growing company that considers our employees and teams to be our most important assets. Our team environment provides opportunities for growth to individuals who are motivated to excel. Our growing program works with the most forward-leaning technologies and extraordinary customers who are thought and action leaders within the AI/ML domain. We offer a highly competitive compensation and benefits package to the right person for this key position.

Salary Range: 104,764 - 125,717

General Description of Benefits

• Must be a US Citizen
• Ability to obtain a TS/SCI with CI Poly
• Bachelor's Degree in Data Science, Math, Finance, Statistics, Information Management, Computer Science, Engineering, Economics or an equivalent field
• 0-2+ years of working experience in one of the related areas: Data Science, Computer Science or Computer Engineering. Relevant course work may be considered as a substitute for actual experience.
• Experience with Python and SQL
• Experience transforming and manipulating data sets
• Excellent communication, and presentation skills.