Junior Data Engineer
Python
Analytics
Aws Data Engineer
Big Data
Bigdata
Business Analytics
Business Intelligence
Cloud Data Engineering
Data
Data Analysis
Data Analytics
Data Analytics Tools
Data Engineer
Data Engineering
Data Integration
Data Integration Tools
Data Pipeline
Data Platform
Data Processing
Data Visualization
Data Visualization Tools
Data Viz
Data Warehouse
Database
Databases
Dataviz
Digital Marketing
Elasticsearch
Entry Level
Entry Level
ETL
Hadoop
Informatica
Information Technology (IT)
Integration
Programming
Programming Language
Programming Languages
Reporting and Analytics
Search Engine
Software Development
Spark
Tableau
Visual Design
Job Description
The Bison Group LLC is seeking a Junior Data Engineer to support a National Security mission helping NGA access, discover, stage, link, produce, re-integrate, and deliver GEOINT data. This onsite role in Springfield, VA partners with experienced engineers and mission teams to strengthen reliable data delivery across cloud and enterprise environments.
Responsibilities
- Design, build, test, and maintain data pipelines and ETL/ELT workflows for analytics, reporting, and mission operations.
- Develop and maintain API connectors and integrations to ingest data from internal platforms and external services.
- Create and improve data models and processing workflows to meet performance, scale, and reliability needs.
- Implement data validation, quality checks, monitoring, and documentation for assigned data products and workflows.
- Collaborate with mission stakeholders, analysts, and architects to clarify requirements and deliver maintainable technical solutions.
- Troubleshoot pipeline and data integration issues, support production deployments, and communicate risks or complex issues to the team.
Requirements
- Geospatial or imagery data experience is required only for assignments that use those sources; otherwise, comparable structured and unstructured data experience is acceptable.
- Experience writing code in Python, R, Scala, JavaScript, or C++, including documentation for reproducibility, with the ability to produce readable, tested, and documented code using Git.
- Strong knowledge and experience of visual programming or object-oriented modeling workflows to automate data acquisition.
- Practical experience with ETL/ELT workflows, relational data, and common structured or semi-structured data formats.
- Ability to apply data validation and analytical techniques to investigate data quality issues and evaluate the results of a solution.
- Experience developing, testing, and supporting data pipelines or integrations in a team environment.
- Ability to select and apply appropriate data transformation approaches, explain tradeoffs, and recognize when senior review is needed.
- Working knowledge of data modeling, metadata, or data catalog concepts.
- Exposure to cloud data platforms or tools such as AWS, Spark, Hadoop, Hive, Elasticsearch, or Tableau (specific tools depend on assigned work).
Required Education and Experience
- Bachelor’s or master’s degree in computer science, information systems, engineering, mathematics, or a related field (equivalent education and experience may be considered).
- Minimum years of experience: 1–3 years of relevant experience with a bachelor’s degree (minimum experience level listed: 1 year).
Technology Stack
- Python, R, Scala, JavaScript, C++
- Git
- ETL/ELT
- AWS, Spark, Hadoop, Hive
- Elasticsearch
- Tableau
Preferred Qualifications
- AI/ML experience.
- Knowledge of metadata standards.
- Knowledge and experience with search tools, search results organization, and the implications of metadata organization, indexing, and catalog content.
- Experience in GIS-related applications.
Clearance Requirement
- TS/SCI CI Poly
Work Schedule and Location
- Location: Springfield, VA (onsite)
- Schedule: Monday to Friday, 8am to 5pm
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Life insurance
- Disability insurance
- Accrued PTO including vacation, sick leave, and holidays
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