Data Ops Engineer

Xenith Solutions
San Diego, CA, United States
27 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Microsoft Excel Microsoft Windows Bash Shell Signals Intelligence Information Systems Information Engineering Data Infrastructure Data Visualization Linux DevOps Elasticsearch Geospatial Intelligence
+23 more
Java Message Service (JMS) JSON Python (Programming Language) Message Queuing Telemetry Transport (MQTT) Operational Databases Red Hat Enterprise Linux Prometheus DataOps Data Streaming Extensible Markup Language (XML) Data Processing Scripting Data Classification Snowflake Grafana Information Technology Apache Flink Data Analytics Real Time Data Apache Kafka Apache Nifi Spark Streaming Data Pipelines

Job 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., As a Federal Contractor, Xenith Solutions is required to participate in the E-Verify Program to confirm eligibility to work in the United States.

Affirmative Action Plan As a federal government contractor and based on Executive Orders and applicable laws and regulations, Xenith Solutions develops and maintains annual written Affirmative Action Plans and endeavors to hire and advance qualified minorities, females, individuals with disabilities, and protected veterans.

Requirements

Xenith Solutions is seeking a highly skilled and motivated Data Scientist to join our team in developing innovative solutions to challenging national problems in support of the Navy, DoD, and Intel communities engineering and technology needs. You should possess deep expertise in Python, data science libraries, and visualization/BI tools to lead advanced analytics initiatives supporting mission-critical objectives. The ideal candidate brings both strong technical acumen and domain experience working with Department of Defense (DoD) and/or Intelligence Community (IC) data sources such as SIGINT, GEOINT, or other multi-INT data. This position may be filled as a Senior Data Scientist., * 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).

About the company

Xenith Solutions LLC is a Service-Disabled Veteran-Owned Small Business founded in 2019. We provide comprehensive, timely and relevant Solutions and Business Consulting support to our customers as a key partner. Our leadership brings over a century of combined experience in Defense and Civilian markets. Our employees possess experience in all aspects of solution development from requirements creation, development, test and evaluation, fielding, and sustainment. At the core of our offerings, we provide strategy and technology solutions, giving our customers valuable insights and thought leadership on the best application of information technology to drive business objectives.

Xenith focuses on solving complex business challenges facing our customers. Our ā€œSuccess Through Achievementā€ work ethic means our customer receive quality solutions through our commitment. We pride ourselves on tackling some of the most difficult operational requirements our customers have - ensuring an appropriate match between the mission requirements, financials, schedule, and security.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt Ā· LIVE

3:47 min

Exploring JSON, CBOR, and JOSE for data serialization

Aaron Russell Ā· LIVE

52 sec

Running persistent Linux environments directly on Windows

Ben Breard Ben Breard Ā· World Congress 2025

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum Ā· World Congress 2026 Europe

1:34 min

Bringing diverse skills to industrial data science roles

Katja TrƤumner

2:03 min

Distinguishing type definition constructs from data validation routines

Clemens Vasters Clemens Vasters Ā· World Congress 2025

Videos

See all

Related articles

See all