Senior Java Data Engineer [$325k/yr+] TS/SCI-FS Poly

SYSTOLIC, INC.

Annapolis Junction, MD, United States

27 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Compensation

$325,000.0

Working hours

Regular working hours

Job source

www.clearancejobs.com

Tech stack

Java (Programming Language) Big Data Software Quality Databases Data Cleansing Data Mining Data Stores Elasticsearch Apache Hadoop MapReduce JSON Python (Programming Language)

+10 more

PostgreSQL Machine Learning Scala (Programming Language) Software Engineering SQL Databases Unstructured Data Extensible Markup Language (XML) Data Ingestion Apache Spark Apache Nifi

Job description

Extract meaning and value from structured and unstructured data using statistical methods and machine learning.
Analyze and develop requirements for data characterization and ingestion.
Lead multiple software development teams and ensure software quality.
Develop data queries for existing or proposed databases.
Leverage expertise in Java, NiFi, Python, Scala, Pig, Map Reduce, Apache Spark, Hadoop, SQL, PostgreSQL, and Elasticsearch., * Devise strategies to extract meaning and value from structured and unstructured data using statistical methods and machine learning.
Develop new methodologies and techniques for automated data characterization and analyze requirements for data ingestion.
Serve as a technical lead for multiple software development teams, recommending new technologies and ensuring quality control.
Develop and optimize data queries for various databases and data repositories.
Collaborate with teams to understand mission needs and define software development processes.
Utilize expertise in Java, Python, Scala, NiFi, SQL, PostgreSQL, and Elasticsearch.
Apply knowledge of big data processing frameworks including Pig, MapReduce, Apache Spark, and Hadoop.
Work with data enrichment/conversion methods, ontologies/schemas, and structured data types (XML, CSV, JSON).
Experience with predictive analytics, machine learning, data mining, and network metadata analysis.
Active TS/SCI with Polygraph clearance is required.