Data Engineer- SME

SOSi; Huntsville (AL); On-site; USD 110,000 - 150,000; Full time

Job summary

A defense technology integrator is seeking an experienced Data Engineer to join their analytics team in Huntsville, Alabama. Responsibilities involve constructing data analytical infrastructure, automating workflows for national security missions, and collaborative work with Data Scientists. Candidates must have a Top Secret Security Clearance and at least 7 years of experience in data engineering or related roles, along with expertise in Python and CI/CD methodologies. The position involves working in a fast-paced environment and may require non-traditional hours.

Qualifications

• Top Secret Security Clearance with SCI eligibility.
• At least 7 years of experience as a Data Engineer/Scientist or advanced analytical role.
• Experience in data engineering and/or software development.

Responsibilities

• Construct data analytical infrastructure and perform exploratory analysis.
• Partner with Data Scientists to automate MLOps workflows.
• Build and maintain data pipelines, ETL processes, and storage systems.
• Implement CI/CD, DevSecOps practices, and write clean Python code.
• Lead teams, mentor peers, and document software systems.

Skills

Python

GIT

YAML

Docker

SQL

CI/CD

Agile methodologies

Data Engineering

Agile

Education

BS or MS in Computer Science, Statistics, Mathematics, Physics or a quantitative field

MS preferred

Tools

PostgreSQL

Neo4j

MongoDB

Kafka

Airflow

Spark

Airflow

Job description

Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.

Job Description

Overview

SOSi is seeking an expert Data Engineerto 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 PyTorch, TensorFlow, GitLab, Atlassian Suite, Linux, and Microsoft Suite
• SQL and NOSQL databases such as PostgreSQL, Wevaiate, Neo4j, and MongoDB
• Microservice architecture and containerization with Docker and Kubernetes
• Apache products such as Kafka, Airflow, and Spark
• Leverage GitOps patterns and CI/CD with tools like GitLab, Argo, and Harness
• 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

Qualifications

• Top Secret Security Clearance with SCI eligibility
• At least 7 years of experience as a Data Engineer/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 and Agile methodologies
• Experience developing back-end systems and services
• Understanding of software design and system integration

Preferred Qualifications

• Significant Experience with Petabyte scale data sets
• Significant Experience with large-scale, multi-INT analytics
• BS or MS in Computer Science, Statistics, Mathematics, Physics or a quantitative field

Additional Information

• 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).

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.