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Csv Engineer Remote Jobs in Washington, DC (NOW HIRING)

VTG

Software Engineer

Chantilly, VA · Remote

Bachelor's degree in Geospatial Intelligence, Geography, Remote Sensing, Intelligence Studies ... Experience working with structured, semi-structured, and unstructured data formats (CSV, JSON, AVRO ...

Booz Allen Hamilton, Inc.

Data Engineer

Washington, DC · On-site +1

$99K - $225K/yr

Remote Work: Yes Job Number: R0245967 Location: Washington,DC,US Share job via: Share Data Engineer ... Build and support ingestion pipelines that pull data from external APIs, normalize JSON and CSV ...

BCC-NIH

Software Developer

Bethesda, MD · On-site +1

This opportunity is full time in Bethesda, MD and/or remote work. As a Software Developer, you will ... Ability to work with common structured documents (XML, JSON, CSV) * Understanding of ASN.1 a plus

SAIC

Software Systems Integrator

Arlington, VA · On-site +1

SW Systems Engr Schedule: Full-Time Shift: Day Job Travel: Yes - 25% of the time Minimum Clearance ... TS/SCI Potential for Remote Work: ORA_HYBRID Description Join the Data Feed Integration (DFI) team ...

All JobsCsv Engineer JobsCsv Engineer Remote JobsCsv Engineer Remote Jobs in Washington, DC

Csv Engineer Remote information

See Washington, DC salary details

$40.8K

$109.8K

$168.2K

How much do csv engineer remote jobs pay per year?

As of Aug 11, 2026, the average yearly pay for csv engineer remote in Washington, DC is $109,827.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,700.00 and $124,600.00 per year, depending on experience, location, and employer.

What is the difference between Csv Engineer Remote vs Data Analyst Remote?

AspectCsv Engineer RemoteData Analyst Remote
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentRemote, technical teams, data engineering projectsRemote, business teams, data interpretation tasks
Industry UsageTech, finance, healthcareMarketing, finance, consulting
Common Search IntentTechnical data pipeline rolesBusiness insights and reporting

Csv Engineer Remote and Data Analyst Remote roles often overlap in data handling but differ in focus. Csv Engineers primarily build and maintain data pipelines using CSV formats, requiring technical skills and engineering certifications. Data Analysts interpret data for business insights, emphasizing analytical skills. Both roles are remote and industry-spanning, but their core responsibilities and skill sets differ significantly.

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

To thrive as a CSV (Computer System Validation) Engineer, you need expertise in validation methodology, regulatory compliance (such as FDA 21 CFR Part 11), and a background in computer science, engineering, or life sciences. Familiarity with validation management tools, documentation systems, and knowledge of GxP guidelines are typically required, along with certifications like PMP or Six Sigma being advantageous. Strong analytical thinking, attention to detail, and effective communication skills help facilitate cross-functional collaboration and ensure thorough documentation. These skills ensure that computer systems are validated to meet regulatory standards, minimizing risk and ensuring product quality in regulated industries.

What are some common challenges CSV engineers face when working remotely, and how can they be overcome?

As a remote Csv Engineer, one common challenge is ensuring seamless data integration and communication with cross-functional teams, especially when dealing with large datasets or sensitive information. To overcome this, it's important to establish clear documentation practices, use collaborative tools for version control and data sharing, and schedule regular check-ins with stakeholders. Staying proactive in communication and leveraging secure remote access tools can help maintain workflow efficiency and data integrity.

What does a CSV engineer do in a remote setting?

A CSV Engineer, or Computer System Validation Engineer, ensures that computer systems used in regulated industries (like pharmaceuticals or biotechnology) meet necessary compliance and validation standards. Working remotely, they develop validation protocols, conduct testing, document results, and ensure that all processes comply with regulatory guidelines such as FDA or GxP. They often collaborate with cross-functional teams via digital communication tools and use remote access to systems for validation activities. Their work is crucial for maintaining data integrity, system reliability, and regulatory compliance.
What are the most commonly searched types of Csv Engineer jobs in Washington, DC? The most popular types of Csv Engineer jobs in Washington, DC are:
What are popular job titles related to Csv Engineer Remote jobs in Washington, DC? For Csv Engineer Remote jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Csv Engineer Remote jobs in Washington, DC look for? The top searched job categories for Csv Engineer Remote jobs in Washington, DC are:
Csv Engineer Remote jobs near you
Infographic showing various Csv Engineer Remote job openings in Washington, DC as of August 2026, with employment types broken down into 90% Full Time, 4% Part Time, and 6% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $109,827 per year, or $52.8 per hour.

Software Engineer

VTG

Chantilly, VA • Remote

Full-time

Re-posted 28 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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