Data Ops Engineer VFDE

Job Description

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.

Overview


SAIC accepts applications on an ongoing basis and there is no deadline.

SAIC® is a premier Fortune 500 mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian, and intelligence markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.