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Csv Validation Engineer Jobs in Florida (NOW HIRING)

Socket.dev

DCIM Analyst

Lakeland, FL · On-site

$55 - $85/hr

This hands‑on, junior‑level role combines data analysis, field validation, and operational ... Bachelor's degree in Data Science, Data Analytics, Information Systems, Engineering, Business ...

VISTRUE LLC

Quality Assurance Analyst

Oldsmar, FL · On-site

Automate testing for increasingly more efficient and reliable quality validation * Partner with the ... CSV, SQL Server * Testing Tools: Selenium, JUnit, JMeter, Cypress, TestNG * Programming Language:

Accenture

OneStream Integration Lead

Tampa, FL · On-site

You mentor junior developers, drive platform best practices, and work closely with solution ... Perform integration testing, data reconciliation, and validation across financial periods.

New

Accenture

OneStream Integration Lead

Miami, FL · On-site

You mentor junior developers, drive platform best practices, and work closely with solution ... Perform integration testing, data reconciliation, and validation across financial periods.

New

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Csv Validation Engineer information

What is a CSV validation engineer?

CSV Validation Engineers are professionals responsible for ensuring that computerized systems used in regulated industries, such as pharmaceuticals or biotechnology, comply with industry standards and regulations. CSV stands for Computer System Validation, which involves testing and documenting that systems function as intended and meet regulatory requirements for data integrity and security. These engineers typically create validation protocols, perform risk assessments, and support audits. Their work is crucial to ensure that electronic records and processes are reliable, traceable, and meet legal and industry guidelines.

What are some common challenges faced by a CSV validation engineer when working with cross-functional teams?

As a CSV Validation Engineer, one common challenge is ensuring clear communication and understanding between IT, QA, and business process teams regarding regulatory requirements and validation protocols. Misalignment on validation deliverables or timelines can occur, especially when teams have differing priorities or levels of familiarity with compliance frameworks. Proactively facilitating discussions, clarifying documentation, and providing training on Computer System Validation standards can help bridge gaps and keep projects on track.

What are the key skills and qualifications needed to thrive as a CSV validation engineer, and why are they important?

To thrive as a CSV (Computer System Validation) Validation Engineer, you need expertise in validation methodologies, regulatory compliance (such as FDA 21 CFR Part 11), and a background in life sciences or engineering. Familiarity with validation tools, documentation systems, and quality management software is typically required, along with knowledge of industry standards like GAMP 5. Strong attention to detail, analytical thinking, and effective communication skills set outstanding candidates apart. These competencies ensure validated systems meet regulatory requirements, maintain data integrity, and support safe, compliant operations in regulated environments.

What is the difference between Csv Validation Engineer vs Data Quality Analyst?

AspectCsv Validation EngineerData Quality Analyst
Required CredentialsBachelor's in Computer Science, Data Management, or related field; familiarity with data validation toolsBachelor's in Data Science, Statistics, or related; certifications like CDMP are common
Work EnvironmentData teams, software development, quality assuranceData analysis, reporting, data governance teams
Industry UsageTech, finance, healthcare, where data validation is criticalBusiness intelligence, analytics, data management sectors

The Csv Validation Engineer primarily focuses on validating and ensuring the accuracy of CSV data files through automated tools and scripts. In contrast, the Data Quality Analyst evaluates overall data quality, identifies issues, and implements data governance practices. Both roles require strong analytical skills and familiarity with data management, but their core responsibilities differ in scope and focus.

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

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

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

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

What cities in Florida are hiring for Csv Validation Engineer jobs?

Cities in Florida with the most Csv Validation Engineer job openings:

Csv Validation Engineer jobs near you
Infographic showing various Csv Validation Engineer job openings in Florida as of August 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 100% In-person job distribution.

DRM (Dimension Relationship Management) Developer

Ruri Software Technologies LLC

Tallahassee, FL • On-site

Full-time

Re-posted 9 days ago

Job description

Job Title: DRM (Dimension Relationship Management) Developer
Location: Remote
Key Responsibilities
• Develop and maintain DRM dimension management pipelines including DJS job orchestration, S3 file ingestion, and TM1 Dim_Management instance updates.
• Build and manage TM1 processes and workstreams for creating, modifying, and validating financial dimensions .
• Automate dimension build workflows using Airflow, replacing manual execution steps with reliable, scheduled pipelines.
• Monitor and troubleshoot dimension file generation from DRM, S3 bucket delivery, Linux mount synchronization, and TM1 process execution.
• Manage dimension hierarchy logic including alternate hierarchies, orphan handling, attribute mapping (Alias, String, Numeric), and hierarchy skip configurations.
• Support production deployments across Prod, Test, and Dev environments, ensuring proper parameter configuration and backup procedures before dimension loads.
• Collaborate with Finance stakeholders and the DRM team to translate dimension change requests into technical implementations.
• Maintain operational runbooks and respond to dimension build failures during critical close cycles.
Basic Qualifications
• 5+ years of software development or data engineering experience.
• Proficiency in TM1/Planning Analytics (TI processes, cube design, dimension management).
• Experience with AWS services: S3, Redshift, Airflow, and DJS (or equivalent orchestration tools).
• Strong scripting skills (Python, Shell) for automation of ETL/ELT pipelines.
• Familiarity with dimension modeling concepts, hierarchies, and attribute management.
• Experience working with CSV-based data ingestion and file-based orchestration patterns.
Preferred Qualifications
• Experience with DRM (Dimension Relationship Management) or Oracle DRM/EDMCS.
• Experience with Linux server administration and S3 directory mount configurations.
• Understanding of corporate finance processes - monthly close, quarterly reporting, and planning cycles.
• Ability to operate independently in a fast-paced environment with tight financial close deadlines.
Years of Experience: 14.00 Years of Experience
Regards
Danyal
danyal@rurisoft.com

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