Senior Data Analytics Engineer - ML & Big Data

Peraton; Maryland; On-site; USD 176,000 - 282,000; Full time

Benefits offered by this job

25 days PTO

Bonus plan

Enhanced benefits

Job summary

Peraton is seeking a highly experienced software/data engineer with TS/SCI and a strong background in data enrichment, ontologies, and structured/unstructured data. The role emphasizes applying ML techniques to large datasets, leveraging tools like DataXplorer and GMAE, and collaborating with customer teams to align data initiatives with mission needs.

The ideal candidate will have 8+ years in development, cloud certifications, and experience with big data frameworks (Pig, MapReduce, Spark) and

Qualifications

• Active TS/SCI with current polygraph.
• 8+ years of experience in software development/engineering.
• Bachelor’s degree in technical discipline; a relevant degree counts as two years of experience.
• AWS / CKAD / other cloud certifications listed in the requirements.
• Experience with data enrichment/conversion, data ontologies/schemas, and structured data (XML, CSV, JSON).

Responsibilities

• Devise strategies to extract meaning and value from structured and unstructured data.
• Apply statistical methods and/or machine learning to discover patterns and behaviors of entities.
• Use DataXplorer and GMAE to present datasets in a story-like manner.
• Collaborate with customer teams to understand mission needs and translate into requirements.
• Develop and support automated data characterization and ingestion for new data types.

Skills

Python

Scala

Pig

MapReduce

Spark

Machine learning

Data mining

Hadoop

Cloud services

Data analysis

Metadata processing

Education

Bachelor’s degree in technical discipline

AWS Certified Developer – Associate

AWS Certified Machine Learning Engineer – Associate

AWS Certified Generative AI Developer – Professional

AWS DevOps Engineer – Professional

Certified Kubernetes Application Developer (CKAD)

Tools

SQL

Job description

Peraton is seeking a highly experienced software/data engineer with TS/SCI and a strong background in data enrichment, ontologies, and structured/unstructured data. The role emphasizes applying ML techniques to large datasets, leveraging tools like DataXplorer and GMAE, and collaborating with customer teams to align data initiatives with mission needs.

The ideal candidate will have 8+ years in development, cloud certifications, and experience with big data frameworks (Pig, MapReduce, Spark) and