Data Ops Engineer

Posted 9 Days Ago
Camp Smith, AL, USA
In-Office
Mid level
Big Data • Software • App development • Defense • Manufacturing
Success Through Achievement
The Role
Designs, builds, and maintains real-time data ingestion pipelines supporting Navy, DoD, and Intelligence Community missions. Responsibilities include monitoring data quality and feed health, implementing resilient streaming pipelines, automating alerts, conducting incident response and root cause analysis, visualizing operational trends, and collaborating with engineering, security, and governance teams. The role requires Python and Bash scripting, production data pipeline experience, and on-site work in Camp Smith, Hawaii.
Summary Generated by Built In
Xenith Solutions is a small family focused business where we focus on taking care of our employees and customers equally.  We are focused on serving Federal / Civilian, Defense and Intelligence organizations with superior service.  If you want to be a part of a rapidly growing business with an exceptional culture, then you want to be a part of the Xenith Solutions family.
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.
Responsibilities:
  • 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 Camp Smith, HI.
  • 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).

 

Skills Required

  • U.S. citizenship
  • Active TS/SCI security clearance
  • Bachelor of Science degree in Computer Science, Mathematics, Electrical Engineering, Physics, Information Systems, or Information Technology
  • At least 3 years of experience in data engineering, data operations, or DevOps supporting production data pipelines
  • Experience with Python and Bash scripting
  • Experience with real-time data ingestion, streaming pipelines, monitoring, and data quality
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The Company
HQ: Reston, VA
41 Employees
Year Founded: 2019

What We Do

Xenith Solutions LLC is a Service-Disabled Veteran-Owned Small Business. We value our employees and provide 100% employee premium paid health insurance, dental and vision care. We also offer our employees unlimited Paid Time Off (PTO). We do not want our employees to worry about caring for themselves or their families as well as ensuring they have ample time off to recharge. Xenith provides 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 “Success Through Achievement” 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.

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