Geolocation & Data Analytics SWE I

Wyetech, LLC; Fort Meade (MD); On-site; USD 92,000 - 124,000; Full time

Benefits offered by this job

SEP IRA contributions

PTO up to 200 hours annually

Medical plan options

Vision and dental insurance

Life and AD&D insurance

Disability insurance

Identity theft protection

Job summary

Wyetech, LLC is seeking a Junior Software Engineer (SWE1) to design, develop, and deploy analytical software for geolocation and data integration. You will work with Java and Python, leverage PySpark for distributed analytics, and implement ETL data flows across multiple cyber and SIGINT sources.

The role emphasizes collaboration with mission stakeholders, experience in data tagging, and building scalable software that automates data and metadata analysis.

Qualifications

• Proficiency in Java and Python.
• Experience with distributed data processing and analytics.
• Experience with ETL processes and data integration.
• Experience with large-scale data processing frameworks.
• Knowledge of data formats and data exchange.

Responsibilities

• Design, develop, and deploy software solutions for data and metadata analysis.
• Collaborate with mission stakeholders to gather requirements.
• Develop analytics and applications automating data processing.
• Implement ETL processes to integrate disparate data sources.
• Utilize PySpark, Pig, MapReduce, and Hadoop for distributed processing.
• Prepare technical documentation and briefings.

Skills

Java

Python

OOP

PySpark

ETL

Pig

MapReduce

Hadoop

JSON

BSON

Data integration

Data analytics

Education

Master's Degree in Computer Science

Bachelor's Degree in CS or related field

Associate's Degree with substantial related experience

Tools

PySpark

Apache Pig

MapReduce

Hadoop

JSON

BSON

Job description

Wyetech, LLC is seeking a Junior Software Engineer (SWE1) to design, develop, and deploy analytical software for geolocation and data integration. You will work with Java and Python, leverage PySpark for distributed analytics, and implement ETL data flows across multiple cyber and SIGINT sources.

The role emphasizes collaboration with mission stakeholders, experience in data tagging, and building scalable software that automates data and metadata analysis.