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Computer System Validation Csv Remote Jobs in Washington

VTG

Software Engineer

Chantilly, VA · Remote

Design, build, and operate large-scale Big Data systems, including persistence, partitioning ... Bachelor's degree in Geospatial Intelligence, Geography, Remote Sensing, Intelligence Studies ...

Maximus

Journeyman System Administrator

VA · On-site +1

S. citizenship or U.S. national status required. - Bachelor's degree in Computer Science ... Remote Minimum Requirements TCS220, T4, Band 7 #TSTECH EEO Statement Maximus is an equal ...

Maximus

Journeyman System Administrator

VA · On-site +1

S. citizenship or U.S. national status required. - Bachelor's degree in Computer Science ... Remote Minimum Requirements TCS220, T4, Band 7 #TSTECH EEO Statement Maximus is an equal ...

YO AI Labs

Autodesk Inventor Expert - Remote

Washington, DC · On-site +1

$30 - $120/hr

... AI systems by creating, reviewing, and refining mechanical CAD models and technical documentation ... Create, interpret, and validate detailed engineering drawings in accordance with ASME Y14.5 (or ...

Ntiva

System Engineer

Mclean, VA · On-site

This is a remote position; however, team members should be willing and able to travel if the need ... Perform validation checks on said systems post patching to ensure system stabilization * Notify and ...

Ntiva

System Engineer (GovCon) Remote

Mclean, VA · Remote

THIS IS A REMOTE POSITION; however, team members should be willing and able to travel if the need ... creation, maintenance, and validation of CMMC technical evidence, including: * System ...

Ntiva

System Engineer (GovCon) Remote

Mclean, VA · On-site +1

THIS IS A REMOTE POSITION; however, team members should be willing and able to travel if the need ... creation, maintenance, and validation of CMMC technical evidence, including: * System ...

System One

AI QA Analyst - 100% REMOTE

Washington, DC · Remote

Bachelor's Degree in Computer Science, Software Engineering, Data Science, AI, or related field ... Experience building or validating enterprise AI agents and multi-agent systems * Knowledge of AI ...

System One

AI QA Analyst - 100% REMOTE

Washington, DC · Remote

Bachelor's Degree in Computer Science, Software Engineering, Data Science, AI, or related field ... Experience building or validating enterprise AI agents and multi-agent systems * Knowledge of AI ...

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All JobsComputer System Validation Csv JobsComputer System Validation Csv Remote JobsComputer System Validation Csv Remote Jobs in Washington

Computer System Validation Csv Remote information

What is the difference between Computer System Validation Csv Remote vs Computer Validation Specialist?

AspectComputer System Validation Csv RemoteComputer Validation Specialist
CertificationsGxP, 21 CFR Part 11, CSV certificationsGxP, 21 CFR Part 11, CSV certifications
Work EnvironmentRemote, regulated industries like pharma and biotechOn-site or hybrid in regulated industries
Industry UsagePharmaceutical, biotech, medical devicesPharmaceutical, biotech, medical devices
Job FocusValidating computer systems and software complianceValidating computer systems and software compliance

Both roles require similar certifications and work in regulated industries like pharma and biotech. The main difference is that Computer System Validation Csv Remote typically involves remote work, focusing on validating computer systems remotely, while Computer Validation Specialist may work on-site or in hybrid settings. Both roles aim to ensure compliance with industry standards and regulations.

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Computer System Validation Csv Remote jobs near you

Software Engineer

VTG

Chantilly, VA • Remote

Full-time

Re-posted 22 days ago

Job description

Overview

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
  •  
Qualifications:
  • 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
  •  
Education:UNAVAILABLEEmployment Type: FULL_TIME

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