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Remote Nifi Developer Jobs in California (NOW HIRING)

Data Ops Engineer VFDE

San Diego, CA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description We are seeking a Data Operations Engineer ... DevOps roles supporting production data pipelines. Tools * Apps/Platforms: NiFi, Kafka, Grafana ...

Remote Nifi Developer information

What is the difference between Remote Nifi Developer vs Data Engineer?

AspectRemote Nifi DeveloperData Engineer
Required CredentialsTypically requires knowledge of Apache NiFi, SQL, and scripting languagesRequires SQL, Python, Java, and data architecture certifications
Work EnvironmentRemote or on-site, focused on data flow automation and integrationRemote or on-site, involved in building data pipelines and infrastructure
Industry UsageUsed in data integration, ETL processes, and real-time data flow managementUsed in data warehousing, analytics, and big data infrastructure

Remote Nifi Developers focus on designing and maintaining data flows using Apache NiFi, often working on data integration tasks. Data Engineers have a broader role, building and managing data pipelines and infrastructure across various tools and platforms. While both roles require data processing skills, Data Engineers typically have a wider skill set and work on more complex data architecture projects.

What are the most commonly searched types of Nifi Developer jobs in California? The most popular types of Nifi Developer jobs in California are:
What job categories do people searching Remote Nifi Developer jobs in California look for? The top searched job categories for Remote Nifi Developer jobs in California are:
What cities in California are hiring for Remote Nifi Developer jobs? Cities in California with the most Remote Nifi Developer job openings:
Data Ops Engineer VFDE

Data Ops Engineer VFDE

SAIC

San Diego, CA • On-site, Remote

$200K - $240K/yr

Full-time

Posted 20 days ago


SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

66th of 206 rated it services


Job description

Job ID: 2612348

Location: San Diego, CA, US

Date Posted: 2026-05-08

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 Operations 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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