Data Ops Engineer

Xenith Solutions; San Diego (CA); On-site; USD 100,000 - 130,000; Full time

Job summary

Xenith Solutions is looking for a skilled Data Scientist to create innovative solutions for the Navy and DoD. The role involves designing and maintaining real-time data pipelines, supporting continuous data feeds, and collaborating with engineers. A Bachelor’s degree in relevant fields and U.S. citizenship with TS/SCI clearance are mandatory. The position requires experience with data engineering tools such as Kafka and NiFi. This position may be filled as a Senior Data Scientist.

Qualifications

• U.S. citizenship and an active TS/SCI clearance.
• 3+ years of experience in data engineering or operations supporting production data pipelines.
• Familiarity with Windows and Linux (RedHat) operating systems.

Responsibilities

• Design, build, and maintain real‑time data ingestion pipelines.
• Support continuous data feeds and monitor health and quality of data ingestion.
• Build resilient pipelines with error-handling strategies.
• Use data manipulation and visualization tools to convey status.
• Collaborate with engineers to reconfigure pipelines for reliability.
• Support incident management by documenting and resolving incidents.

Skills

Data ingestion pipelines

Data manipulation tools

Scripting languages (Python, Bash)

Collaboration with engineers

Incident management

Education

Bachelor of Science in Computer Science, Mathematics, Electrical Engineering, Physics, Information Systems, or IT

Tools

NiFi

Kafka

Grafana

Prometheus

Apache Flink/Spark Streaming

Snowflake

Elasticsearch

MQTT

JMS

Job description

Xenith Solutions is seeking a highly skilled Data Scientist to develop innovative solutions for the Navy, DoD, and Intelligence communities. This position may be filled as a Senior Data Scientist.

Responsibilities

• Design, build, and maintain real‑time data ingestion pipelines, ensuring reliable streaming data flow, quality, observability, and scalability.
• Support continuous data feeds to users and monitor the health and quality of data ingestion.
• Build resilient pipelines with backpressure, prioritization, retries, and error‑handling strategies.
• Use data manipulation and visualization tools to convey status and historical trends to leadership, users, and the data team.
• Collaborate with platform, software, and data engineers to reconfigure pipelines for higher reliability.
• Work with data in Excel, CSV, JSON, and XML formats.
• Support incident management by documenting, resolving incidents, and performing root‑cause analysis to prevent repetition of data outages.
• Develop and maintain software to automate monitoring of real‑time feeds and alert for timeliness, volume, lineage, and distribution data issues.
• Partner with security and governance teams to enforce encryption, authentication, authorization, and data classification.
• Demonstrate proficiency with scripting languages such as Python and Bash used in data science and analytics.

Qualifications

• U.S. citizenship and an active TS/SCI clearance.
• Bachelor of Science required in Computer Science, Mathematics, Electrical Engineering, Physics, Information Systems, or Information Technology.
• 3+ years of experience in data engineering, data operations, or DevOps roles supporting production data pipelines.
• Experience with tools and platforms: NiFi, Kafka, Grafana, Prometheus, Apache Flink/Spark Streaming, Snowflake, Elasticsearch, MQTT, and JMS.
• Familiarity with Windows and Linux (RedHat) operating systems.