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Csv Engineer Remote Jobs in Encinitas, CA (NOW HIRING)

SAIC

Data Ops Engineer

San Diego, CA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description We are seeking a Data Ops Engineer to ... Work with data in a variety of formats including Excel, CSV, JSON, and XML. * Support the incident ...

All JobsCsv Engineer JobsCsv Engineer Remote JobsCsv Engineer Remote Jobs in Encinitas, CA

Csv Engineer Remote information

See Encinitas, CA salary details

$38.7K

$104.2K

$159.5K

How much do csv engineer remote jobs pay per year?

As of Aug 9, 2026, the average yearly pay for csv engineer remote in Encinitas, CA is $104,154.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $118,100.00 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 cities near Encinitas, CA are hiring for Csv Engineer Remote jobs? Cities near Encinitas, CA with the most Csv Engineer Remote job openings:
Csv Engineer Remote jobs near you

Data Ops Engineer

SAIC

San Diego, CA • On-site, Remote

$200K - $240K/yr

Full-time

Re-posted 2 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

78th of 223 rated it services

Job description

Job ID: 2612348

Location: San Diego, CA, US

Date Posted: 2026-07-28

Category: Engineering and Sciences

Subcategory: Systems Engineer

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 10% of the time

Minimum Clearance Required: TS.SCI

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE


Description

We are seeking a Data Ops Engineer to design, build, and maintain real-time data ingestion pipelines. In this role, you will be responsible for the reliable flow of streaming data from a wide range of sources into our data platform, ensuring data quality, observability, and scalability. You'll partner closely with data engineers, platform engineers, and analytics teams to deliver trustworthy, low-latency data that supports operational decisions.  This position is on-site in San Diego, CA. Aid the team in delivering continual data feeds to users and monitoring the status of the health of data quality and overall data ingest.

  • Aid the team in delivering continual data feeds to users and monitoring the status of the health of data quality and overall data ingest.
  • Build resilient pipelines with appropriate backpressure, prioritization, retries, and error-handling strategies.
  • Employ a variety of data manipulation and visualization tools to effectively convey status and historical trends to leadership, users, and data team.
  • Collaborate with platform, software, and other data engineers to (re)configure data ingestion pipelines to be more reliable.
  • Work with data in a variety of formats including Excel, CSV, JSON, and XML.
  • Support the incident management process to ensure that incidents are documented and resolved quickly.  Perform root cause analysis to understand and
  • prevent repeated occurrences of data outages.
  • Develop and maintain software to automate monitoring of real-time feeds and alert for timeliness, volume, lineage, and distribution data issues.  Process learnings and rely on historical data from data pipelines, translating them into actionable steps to improve data ingest.
  • Partner with security and governance teams to enforce encryption, authentication authorization, and data classification. 
  • Demonstrate proficiency with frequent-used scripting language (Python, bash) commonly used in data science applications and data analytics.
     

Qualifications

  • U.S. citizenship and an active TS/SCI
  • Bachelor of Science required in the following preferred fields: Computer Science, Mathematics, EE, Physics, Information Systems, or Information Technology.
  • 3+ years of experience in data engineering, data operations, or DevOps roles supporting production data pipelines.
    Tools
  • Apps/Platforms: NiFi, Kafka, Grafana, Prometheus, Apache Flink/Spark Streaming, Snowflake, Elasticsearch, Kafka, MQTT, JMS
    Operating Systems: Windows, Linux (RedHat).

Target salary range: $200,001 - $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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