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Csv Engineer Remote Jobs in Chicago, IL (NOW HIRING)

Data Engineer (Remote)

Chicago, IL ยท Remote

$117K - $140K/yr

Experience working with structured data (CSV files, databases, APIs) * Working knowledge of SQL or ... Remote or hybrid Chicago work flexibility * Collaborative and dynamic team environment * The chance ...

Lead computer system validation (CSV) activities of Tempus AI applications, software tools, and ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

This hands-on, high impact and fully remote U.S. based role will have the opportunity to influence ... Develop and consume RESTful APIs and work with JSON, XML, and CSV for interoperability with EHRs ...

Full Stack Software Engineer

Chicago, IL ยท Remote

$125K - $145K/yr

Fully remote role that has a large business impact. How You'll Contribute * Design, develop, test ... Develop and consume RESTful APIs and work with JSON, XML, and CSV for interoperability with EHRs ...

Full Stack Software Engineer

Chicago, IL ยท Remote

$125K - $145K/yr

Fully remote role that has a large business impact. How You'll Contribute * Design, develop, test ... Develop and consume RESTful APIs and work with JSON, XML, and CSV for interoperability with EHRs ...

This role is 100% remote and, due to the sensitivity of the public sector, only USA citizens are ... Evaluate, test and load data from external sources (e.g., csv, xls, pdf) * Responsible for the ...

Csv Engineer Remote information

See Chicago, IL salary details

$37.1K

$99.9K

$153K

How much do csv engineer remote jobs pay per year?

As of Aug 21, 2026, the average yearly pay for csv engineer remote in Chicago, IL is $99,893.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,700.00 and $113,300.00 per year, depending on experience, location, and employer.

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 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 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.

How much do Csv engineers make?

Csv engineers typically earn between $70,000 and $120,000 annually, depending on experience, location, and industry. Remote positions may offer competitive salaries and often require proficiency in data processing tools and scripting languages.

What is the salary of CSV engineer?

The salary of a CSV engineer varies depending on experience, location, and industry, but typically ranges from $70,000 to $120,000 annually. Remote CSV engineers with specialized skills in data processing and scripting may earn higher salaries, especially with certifications or advanced expertise.

What are the most commonly searched types of Csv Engineer jobs in Chicago, IL?

The most popular types of Csv Engineer jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Csv Engineer Remote jobs?

Cities near Chicago, IL with the most Csv Engineer Remote job openings:

Data Engineer (Remote)

RxSaveCard Inc

Chicago, IL โ€ข Remote

$117K - $140K/yr

Full-time

Retirement

Re-posted 28 days ago


Job description

About RxSaveCard

RxSaveCard was founded in 2024 with a mission to reduce pharmacy costs for employers and their employees. Our innovative model is unique in the market, and we are building a modern, card-based approach to prescription benefits that simplifies a complicated system. Our innovative model is unique in the market, backed by financial partners at Distributed Ventures and Rock Health.

We are a fast-growing company solving real problemsand we're looking for people who can operate at the intersection of data, operations, and client experience.

Position Overview

This role sits at the foundation of our data platformfocused on building, scaling, and securing the pipelines and systems that power RxSaveCard. This role will start with existing processes that are largely manual and bespoke today, but will play a leading role in the evolution toward more scalable solutions.

You will design and manage data infrastructure that processes large, complex datasets, including prescription (Rx) data from our partners, eligibility files, transaction data, and financial flows. This is highly sensitive healthcare and financial data, where accuracy, reliability, and security are non-negotiable.

This is a role for someone who wants to build systemsnot just handle dataand who takes pride in making data pipelines performant, resilient, and scalable.

Key ResponsibilitiesData Engineering
  • Design, build, and maintain scalable data pipelines for ingesting and processing large datasets (Rx claims, eligibility, transactions, funding data)
  • Develop ETL/ELT processes to transform and normalize data from multiple partner systems
  • Optimize data storage and retrieval for performance, cost, and scalability
  • Ensure high data quality through validation, monitoring, and automated checks
Data Operations & Analysis
  • Build and maintain data infrastructure using modern tools (cloud data warehouses, distributed processing frameworks, etc.)
  • Partner with engineering to integrate data systems into core product workflows
  • Design systems that can scale with rapid growth in data volume and partner integrations
  • Implement observability (logging, monitoring, alerting) for data pipelines
Data Integrity & Security
  • Handle sensitive healthcare (HIPAA) and financial data with strict adherence to security best practices
  • Implement encryption, access controls, and audit logging across data systems
  • Ensure data handling aligns with regulatory and partner requirements
  • Design systems that preserve data integrity and support auditability
Automation & Process Improvement
  • Develop scripts and tools (primarily in Python or similar) to automate workflows
  • Reduce manual processes and improve data reliability and scalability
  • Partner with engineering to productionize solutions when appropriate
  • Anticipate issues and own the resolutions to problems

Project & Workflow Management
  • Own operational workflows and ensure clear ownership of deliverables
  • Own incident response and root cause analysis for data-related issues
  • Track tasks, timelines, and dependencies across multiple workstreams
  • Bring structure and visibility to ambiguous or evolving processes
QualificationsCore Capabilities
  • Exceptional organizational skills with the ability to manage multiple priorities without dropping details
  • Strong written and verbal communication skills with both clients and technical teams
  • Proven ability to operate independently in a fast-moving, ambiguous environment
Data & Technical Skills
  • Advanced proficiency in Excel or Google Sheets (formulas, data manipulation, analysis)
  • Experience working with structured data (CSV files, databases, APIs)
  • Working knowledge of SQL or similar query languages
  • Experience with scripting languages such as Python (preferred), or similar (JavaScript, Bash)
  • Ability to debug data issues and trace problems across systems
Security & Efficiency
  • Demonstrated experience handling sensitive data with a high degree of care and accountability
  • Systems thinker who looks beyond one-off fixes to scalable solutions
  • Bias toward solutions and an iterative approach, without getting bogged down
Nice to Have
  • Prior startup or growth-stage experience is a strong plus
  • Prior experience within startups, security-minded organizations, or HR employee benefits
The Right Culture Fit for This Role
  • Mission-minded to help people and bring solutions to a very challenging and broken industry
  • Scrappy and resilient to thrive in an early-stage company and rise to the challenge of doing new and scary things
  • Intelligence, curiosity, and drive to anticipate problems and turn them into business opportunities
  • Hardworking and responsible, to be a trusted member of our growing team
  • Mindful and balanced to avoid burnout
  • Kindness and camaraderie to add to the culture at RxSaveCard
Why RxSaveCard?
  • Opportunity to join an innovative company at a critical growth stage
  • Competitive salary and benefits package, including insurance and 401k with match
  • Company ownership in the form of equity
  • Remote or hybrid Chicago work flexibility
  • Collaborative and dynamic team environment
  • The chance to make a meaningful impact on healthcare costs for millions of employees
How to Apply

If you're excited about making prescription drugs more affordable and want to be an early employee at a start-up company, we'd love to hear from you! Applicants should submit a cover letter that highlights what they bring to the role beyond what's provided here. If you're referring someone, please mention it in the letter as well. The position requires background screening.