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).