Junior Data Engineer — AI/ML Data Pipelines (Hybrid)

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

Benefits offered by this job

Competitive compensation package

Opportunity to work on AI/ML DoD pathf

Hybrid work arrangement

Job summary

Everforth ECS in Fairfax and Springfield, VA seeks a Jr Data Engineer to support AI and cloud solutions in a hybrid remote/onsite role with a minimum of three days onsite at our VA offices. You will join a multidisciplinary team focused on data ingestion, ETL, and preparing data for ML development environments.

The ideal candidate has 0-2+ years in Data Science/CS, experience with Python and SQL, and a background in transforming datasets including geospatial data.

Qualifications

• U.S. citizenship required.
• TS/SCI with CI Poly eligible.
• 0-2+ years in data science, computer science or data engineering.
• Experience with Python and SQL.
• Experience transforming data sets; geospatial data experience.
• Strong communication and presentation skills.

Responsibilities

• Participate in technical exchange meetings with customers, vendors, and internal team to coordinate datasets supporting AI efforts.
• Extract, transform and standardize data to prepare for ingest into ML environments.
• Support continuous process automation for data ingest.
• Support the integration of ML algorithms for testing and deployment.
• Assist with the design and development of data services and pipelines.
• Coordinate with Project Manager and Data Team to determine data requirements and act as data advocate.
• Perform multiple tasks under changing priorities and deadlines.
• Promote customer service, excellence, innovation, collaboration and teamwork.

Skills

Python

SQL

Data parsing

JSON data

Geospatial data

Communication

Education

Bachelor's Degree in Data Science, Math, Finance, Statistics, Information Management, Computer Science, Engineering, Economics or equivalent

Job description

Everforth ECS in Fairfax and Springfield, VA seeks a Jr Data Engineer to support AI and cloud solutions in a hybrid remote/onsite role with a minimum of three days onsite at our VA offices. You will join a multidisciplinary team focused on data ingestion, ETL, and preparing data for ML development environments.

The ideal candidate has 0-2+ years in Data Science/CS, experience with Python and SQL, and a background in transforming datasets including geospatial data.