Software Engineer
Chantilly, VA · Remote
Design partition and sort key strategies to ensure consistent system performance. * Develop ... Bachelor's degree in Geospatial Intelligence, Geography, Remote Sensing, Intelligence Studies ...
Software Engineer
Chantilly, VA · Remote
Design partition and sort key strategies to ensure consistent system performance. * Develop ... Bachelor's degree in Geospatial Intelligence, Geography, Remote Sensing, Intelligence Studies ...
Remote Partition information
What is the meaning of remote in one word?
In the context of a remote partition job, 'remote' means located outside the physical workplace, typically working from a different location such as home or another site. It involves tasks that can be performed via internet-connected devices without being on-site.
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What is the meaning of the word remote?
In the context of a remote partition job, 'remote' refers to working outside a traditional office environment, often from home or any location with internet access. It typically involves using digital tools and communication platforms to perform tasks without being physically present at a specific site.
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Remote Partition roles or similar remote jobs can offer high earning potential, often requiring specialized skills such as data management, system administration, or technical expertise. To make $2000 a week, individuals typically need to work full-time hours, develop in-demand skills, and may pursue freelance or contract opportunities that pay higher rates. Building a strong professional network and gaining relevant certifications can also increase earning opportunities in remote work environments.
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Job description
Overview
What will you do?
Do you have what it takes?
We are looking for a Software Engineer / Data Engineer to join our team.
What will you do?
Design, build, and operate large-scale Big Data systems, including persistence, partitioning, indexing, and search capabilities.
Develop and maintain Java-based applications and APIs.
Architect and implement cloud-native solutions using AWS or comparable cloud platforms.
Design and optimize high-performance graph databases containing tens of billions of edges.
Develop graph traversal capabilities using Apache TinkerPop, Gremlin, JanusGraph, or similar technologies.
Build and maintain NoSQL and relational database solutions supporting complex Big Data applications.
Design partition and sort key strategies to ensure consistent system performance.
Develop aggregation operations to de-duplicate records across continuous data feeds.
Build and operate serverless data processing pipelines using AWS Lambda, Step Functions, and PySpark.
Design and operate large-scale geospatial indexing solutions using GeoMESA.
Develop and maintain Kubernetes-based containerized environments.
Implement DevSecOps and agile development practices in production environments.
Maintain configuration management using Git-based repositories.
Facilitate technical discussions across cross-functional teams to develop mission-aligned implementation strategies.
Ensure compliance with federal security, regulatory, and accreditation requirements.
Implement data security and governance controls including LDAP integration, encryption, and auditing.
Do you have what it takes?
- Active TS/SCI with Polygraph required.
- Bachelor’s degree in Geospatial Intelligence, Geography, Remote Sensing, Intelligence Studies, Engineering, or related field, or equivalent experience
- Demonstrated experience with Java development.
- Experience designing and operating Big Data systems.
- Experience developing and maintaining APIs.
- Experience designing cloud-native architectures using AWS or similar cloud platforms.
- Experience building and optimizing large-scale graph databases using technologies such as Cassandra, DynamoDB, Neo4j, or JanusGraph.
- Experience developing graph traversal capabilities using Apache TinkerPop and Gremlin.
- Experience designing and operating NoSQL solutions.
- Experience in data modeling, partition sharding, stream processing, and metrics gathering.
- Experience developing high-performance data processing pipelines.
- Experience with Kubernetes, Docker, and container orchestration.
- Experience with Apache NiFi.
- Experience implementing DevSecOps and agile methodologies.
- Experience with data security controls including encryption and centralized access management (LDAP).
- Experience working with structured, semi-structured, and unstructured data formats (CSV, JSON, AVRO, Parquet, Protocol Buffers, etc.).
- Experience with relational and NoSQL databases including PostgreSQL, MariaDB, MongoDB, Cassandra, ELK, MinIO, and AWS S3.
- Experience working in Linux environments such as CentOS or Rocky Linux.
- Experience with Python and related libraries.
- Experience supporting large collaboration and development environments
- Active TS/SCI with Polygraph required.
- Bachelor’s degree in Geospatial Intelligence, Geography, Remote Sensing, Intelligence Studies, Engineering, or related field, or equivalent experience
- Demonstrated experience with Java development.
- Experience designing and operating Big Data systems.
- Experience developing and maintaining APIs.
- Experience designing cloud-native architectures using AWS or similar cloud platforms.
- Experience building and optimizing large-scale graph databases using technologies such as Cassandra, DynamoDB, Neo4j, or JanusGraph.
- Experience developing graph traversal capabilities using Apache TinkerPop and Gremlin.
- Experience designing and operating NoSQL solutions.
- Experience in data modeling, partition sharding, stream processing, and metrics gathering.
- Experience developing high-performance data processing pipelines.
- Experience with Kubernetes, Docker, and container orchestration.
- Experience with Apache NiFi.
- Experience implementing DevSecOps and agile methodologies.
- Experience with data security controls including encryption and centralized access management (LDAP).
- Experience working with structured, semi-structured, and unstructured data formats (CSV, JSON, AVRO, Parquet, Protocol Buffers, etc.).
- Experience with relational and NoSQL databases including PostgreSQL, MariaDB, MongoDB, Cassandra, ELK, MinIO, and AWS S3.
- Experience working in Linux environments such as CentOS or Rocky Linux.
- Experience with Python and related libraries.
- Experience supporting large collaboration and development environments