Jr Data Engineer

ECS Corporate Services; Springfield (VA); Hybrid; USD 105,000 - 126,000; Full time

Job summary

Everforth ECS is seeking a Jr Data Engineer to support AI and cloud solutions in a hybrid capacity, with minimum three days onsite at our Fairfax, VA corporate office or Springfield, VA customer site. The role emphasizes extracting, transforming, and loading data, including text and JSON, and processing geospatial data for mission-critical DoD work.

You will work with software engineers and the data team to build scalable pipelines, automate data ingest, and integrate ML algorithms, while

Qualifications

• Requires US citizenship and ability to obtain TS/SCI with CI Poly.
• 0-2+ years of relevant experience or coursework in data engineering.
• Experience with Python and SQL; data transformation and parsing of text/JSON.
• Experience with geospatial data is a plus.

Responsibilities

• Participate in meetings with customers, vendors, and internal teams to coordinate datasets for AI efforts.
• Collaborate with engineers to extract, transform, and standardize data for ML environments.
• Support data ingestion automation and ML algorithm integration.
• Design and develop data services and pipelines; act as data advocate for the project.
• Assist with prioritization and data requirements management.

Skills

Python

SQL

Data transformation

Education

Bachelor's degree in a related field (Data Science, CS, Engineering, etc.)

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.