Data Engineer - SME

SOS International LLC
US - Alabama - Huntsville
January 12, 2025

Overview

SOSi is seeking an expert Data Engineer to join our analytics team working on an innovative MLOps workload leveraging cutting-edge technologies and supporting a government customer in Huntsville, Alabama. This role will be responsible for delivering automation to key national security missions interacting with petabyte-scale data on supercomputing resources.

In this role, you will construct data analytical infrastructure, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis. You will leverage scientific techniques to transform petabyte-scale data into insightful data products to enable data-driven decisions. You will partner with Data Scientists to refactor manual workflows to produce highly automated MLOPs based workloads. You will perform using scrumban techniques and be embedded with end users.

The team will work with technologies including:

Open source, Commercial, and Government software packages such as Kafka, Beam, NumPy, Kubeflow, Nvidia Triton, PyTorch, TensorFlow, Weaviate, Neo4j, Grafana, etc.
Cloud native techniques and containerization with Docker
Infrastructure as Code with Terraform
Configuration as Code with OPA
Observability with tools like EFK and LOKI + OTel
Leverage GitOps patterns and CI/CD with tools like GitLab, Argo, and Harness
Perform SAST/DAST security with tools like SonarQube
Perform Kubernetes and K3s orchestration with tools like Rancher and Konvoy

SOSi is seeking data talent to unlock insights from massive datasets supporting strategic national security objectives. If you have a passion for data science and want to apply your skills to impactful projects at scale, we want to hear from you!

Essential Job Duties

Build and maintain data pipelines, ETL processes, and storage systems
Design end-to-end data architectures and infrastructure
Lead teams building complex data pipelines and ML systems
Develop services and extend infrastructure to enable machine learning workflows
Integrate software components into functional data systems
Write clean, testable, maintainable code in Python and other languages
Implement CI/CD pipelines and DevSecOps best practices
Create technical documentation for software systems
Collaborate across teams to share knowledge and leading practices

Minimum Requirements

Top Secret Security Clearance
At least 7 years of experience as a Data Scientist or advanced analytical role
Experience in data engineering and/or software development
Expertise with Python, GIT, YAML, Docker, and SQL
Knowledge of CI/CD, DevSecOps, and Agile methodologies
Experience developing back-end systems and services
Understanding of software design and system integration

Preferred Qualifications

Top Secret Security Clearance with SCI eligibility
Significant Experience as a Site Reliability Engineer (SRE)
Significant Experience with AIOps and FinOps
Significant Experience with Petabyte scale data sets
Significant Experience with large-scale, multi-INT analytics
Experience Leading Agile Transformation
BS or MS in Computer Science, Statistics, Mathematics, Physics or a quantitative field

Work Environment

Working conditions are normal for an office environment.
Fast paced, deadline-oriented environment.
May require periods of non-traditional working hours including consecutive nights or weekends (if applicable).

Read the full job description and apply online on the recuiter's web-site

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