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Csv Engineer Jobs in Virginia (NOW HIRING)

VTG

Software Engineer

Chantilly, VA · On-site

Overview We are looking for a Software Engineer / Data Engineer to join our team. What will you do ... Experience working with structured, semi-structured, and unstructured data formats (CSV, JSON, AVRO ...

VTG

SME - Data Engineer

Herndon, VA · On-site

$180K - $230K/yr

The Data Engineer will leverage their expertise with Python to support the customer's data ... Experience with common data formats such as JSON, XML, CSV, and other structured or semi-structured ...

Isoftech Inc

QA Tester

Reston, VA · On-site

... CSV and JSON file formats. * Verify storage operations across Azure Blob Storage and Azure File Shares. * Collaborate with developers, data engineers, and product owners in an Agile environment to ...

WarCollar Industries, LLC

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

They are seeking a motivated Data Engineer to support data pipelines and ensure data integrity and ... CSV, and other structured or semi-structured data • Experience working with Bash, Linux, and ...

CSV-Taurean

Senior Network Engineer

Alexandria, VA · On-site

$111K - $152K/yr

Secret Overview The Senior Network Engineer designs, implements, and maintains enterprise-wide networks supporting large user populations. This role ensures secure WAN/LAN, VPN, and hybrid cloud ...

CSV-TAUREAN

Senior Network Engineer

Alexandria, VA · Hybrid

$111K - $152K/yr

Secret Overview The Senior Network Engineer designs, implements, and maintains enterprise-wide networks supporting large user populations. This role ensures secure WAN/LAN, VPN, and hybrid cloud ...

ManTech

Software Engineer

Herndon, VA · On-site

$141K - $236K/yr

The Software Engineer will leverage their expertise with Python to support the customer's data ... Experience with common data formats such as JSON, XML, CSV, and other structured or semi-structured ...

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Csv Engineer information

What is a CSV engineer?

A CSV (Computer System Validation) Engineer is responsible for ensuring that computer systems used in regulated industries, such as pharmaceuticals and medical devices, comply with regulatory requirements. They develop validation protocols, perform testing, document results, and ensure adherence to industry standards like FDA 21 CFR Part 11 and GAMP 5. Their goal is to confirm that software and hardware systems function correctly, maintain data integrity, and meet compliance requirements.

What are the key skills and qualifications needed to thrive as a CSV engineer?

To thrive as a CSV Engineer (Computer System Validation Engineer), you need a solid understanding of validation principles, regulatory compliance (such as FDA 21 CFR Part 11), and a relevant degree in life sciences, engineering, or information technology. Familiarity with validation lifecycle documentation, risk assessment tools, and industry-standard systems like SAP, LIMS, and TrackWise is highly valued, as are certifications such as GAMP or Six Sigma. Strong attention to detail, analytical thinking, and excellent communication skills help CSV Engineers collaborate efficiently with cross-functional teams and ensure thorough documentation. These skills are crucial to guarantee that computerized systems in regulated industries meet compliance requirements, supporting product quality and patient safety.

What are the common challenges faced by a CSV engineer in the pharmaceutical or medical device industry?

CSV Engineers in the pharmaceutical or medical device industry often face the challenge of keeping up with evolving regulatory requirements and ensuring all computerized systems remain compliant throughout their lifecycle. Managing comprehensive documentation, coordinating with multiple departments, and troubleshooting complex system changes can add to the workload. Successful CSV Engineers are proactive about staying informed of regulatory updates, are highly organized, and collaborate closely with Quality Assurance, IT, and operations teams. This dynamic environment offers the opportunity to learn continuously, develop expertise in validation best practices, and advance into leadership or specialized quality roles.

How much do CSV engineers make?

CSV engineers typically earn a salary ranging from $70,000 to $120,000 annually, depending on experience, location, and industry. They often work with data processing tools and scripting languages like Python or SQL to manage and analyze CSV data efficiently.

How to become a CSV engineer?

To become a CSV engineer, you should develop strong skills in data management, scripting languages like Python or SQL, and familiarity with CSV file formats. Earning relevant certifications or degrees in data science, computer science, or related fields can also enhance your qualifications, along with experience working with data processing tools and environments.

What are the most commonly searched types of Csv Engineer jobs in Virginia?

The most popular types of Csv Engineer jobs in Virginia are:

What are popular job titles related to Csv Engineer jobs in Virginia?

For Csv Engineer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Csv Engineer jobs in Virginia look for?

The top searched job categories for Csv Engineer jobs in Virginia are:

Csv Engineer jobs near you
Infographic showing various Csv Engineer job openings in Virginia as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Software Engineer

Chantilly, VA • On-site

VTG
See more jobs at VTGexternal

Full-time

Re-posted 15 hours 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

Apply