Data Engineer

Confirmed live in the last 24 hours

51-200 employees

Veteran-owned firm providing strategic, tech-enabled government solutions.

Company Overview

Barbaricum stands out as a Service-Disabled Veteran-Owned small business with a strong focus on leveraging emerging technologies to support long-term client goals, particularly in the realm of National Security. The company's commitment to quality and continuous improvement is evident in its ISO 9001: 2015 certification and CMMI Level 3 appraisal, and its rapid growth and recognition by institutions like Inc. Magazine and GovCon attest to its industry leadership. With a dynamic team providing global support across five continents, Barbaricum fosters a vibrant corporate culture that has earned it the title of a Best Workplace for 2017 by Inc. Magazine.

Consulting

Company Stage

N/A

Total Funding

N/A

Founded

2008

Headquarters

Washington, District of Columbia

Growth & Insights

Headcount

6 month growth

↑ 1%

1 year growth

↑ 1%

2 year growth

↑ 16%

Locations

Omaha, NE, USA

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

Agile

AWS

Data Analysis

Data Science

Data Structures & Algorithms

Git

NumPy

SQL

Python

NoSQL

CategoriesNew

Data & Analytics

Requirements

Active DoD Top Secret clearance required
8+ years of demonstrated experience in software engineering
Bachelor's degree in computer science or a related field. A degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics and/or other relevant experience
8+ years of experience working with AWS big data technologies (S3, EC2) and demonstrate experience in distributed data processing, Data Modeling, ETL Development, and/or Data Warehousing
Demonstrated mid-level knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
3+ years of experience using analytical concepts and statistical techniques
8+ years of demonstrated experience across Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science especially around software engineering and/or designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence

Responsibilities

Design, implement, and operate data management systems for intelligence needs
Use Python to automate data workflows
Design algorithms databases, and pipelines to access, and optimize data retrieval, storage, use, integration and management by different data regimes and digital systems
Work with data users to determine, create, and populate optimal data architectures, structures, and systems; and plan, design, and optimize data throughput and query performance
Participate in the selection of backend database technologies (e.g. SQL, NoSQL, etc.), its configuration and utilization, and the optimization of the full data pipeline infrastructure to support the actual content, volume, ETL, and periodicity of data to support the intended kinds of queries and analysis to match expected responsiveness
Assist and advise the Government with developing, constructing, and maintaining data architectures
Research, study, and present technical information, in the form of briefings or written papers, on relevant data engineering methodologies and technologies of interest to or as requested by the Government
Align data architecture, acquisition, and processes with intelligence and analytic requirements
Prepare data for predictive and prescriptive modeling deploying analytics programs, machine learning and statistical methods to find hidden patterns, discover tasks and processes which can be automated and make recommendations to streamline data processes and visualizations
Design, implement, and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests
Utilize Amazon Web Services (AWS) hosted big data technologies to store, format, process, compute, and manipulate data in order to draw conclusions and make predictions

Desired Qualifications

ArcGIS expertise
Experience using Python's NumPy
Familiar with git-based revision control
Familiar with DevSecOps analytics development

Barbaricum is a rapidly growing government contractor providing leading-edge support to federal customers, with a particular focus on Defense and National Security mission sets. We leverage more than 15 years of support to stakeholders across the federal government, with established and growing capabilities across Intelligence, Analytics, Engineering, Mission Support, and Communications disciplines. Founded in 2008, our mission is to transform the way our customers approach constantly changing and complex problem sets by bringing to bear the latest in technology and the highest caliber of talent.

Headquartered in Washington, DC’s historic Dupont Circle neighborhood, Barbaricum also has a corporate presence in Tampa, FL and Dayton, OH, with team members across the United States and around the world. As a leader in our space, we partner with firms in the private sector, academic institutions, and industry associations with a goal of continually building our expertise and capabilities for the benefit of our employees and the customers we support. Through all of this, we have built a vibrant corporate culture diverse in expertise and perspectives with a focus on collaboration and innovation. Our teams are at the frontier of the Nation’s most complex and rewarding challenges. Join us.

Barbaricum is seeking a Data Engineer to provide support an emerging capability for the USSTRATCOM J2 at Offutt Air Force Base near Omaha, Nebraska.

This individual will work to migrate existing ad hoc data flows to JWICS AWS available to the enterprise. Initially, the Data Engineer will use Python to automate data gathering and data cleaning efforts. Using these foundational efforts, the Data Engineer will then develop, implement, and operate a data management system for the intelligence enterprise.

Due to security requirements, this position is primarily required to be performed on-site. However, subject to project and customer requirements, team members may be provided flexibility for limited remote support.

Responsibilities

Design, implement, and operate data management systems for intelligence needs
Use Python to automate data workflows
Design algorithms databases, and pipelines to access, and optimize data retrieval, storage, use, integration and management by different data regimes and digital systems
Work with data users to determine, create, and populate optimal data architectures, structures, and systems; and plan, design, and optimize data throughput and query performance
Participate in the selection of backend database technologies (e.g. SQL, NoSQL, etc.), its configuration and utilization, and the optimization of the full data pipeline infrastructure to support the actual content, volume, ETL, and periodicity of data to support the intended kinds of queries and analysis to match expected responsiveness
Assist and advise the Government with developing, constructing, and maintaining data architectures
Research, study, and present technical information, in the form of briefings or written papers, on relevant data engineering methodologies and technologies of interest to or as requested by the Government
Align data architecture, acquisition, and processes with intelligence and analytic requirements
Prepare data for predictive and prescriptive modeling deploying analytics programs, machine learning and statistical methods to find hidden patterns, discover tasks and processes which can be automated and make recommendations to streamline data processes and visualizations
Design, implement, and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests
Utilize Amazon Web Services (AWS) hosted big data technologies to store, format, process, compute, and manipulate data in order to draw conclusions and make predictions

Qualifications

Active DoD Top Secret clearance required
8+ years of demonstrated experience in software engineering
Bachelor’s degree in computer science or a related field. A degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics and/or other relevant experience
8+ years of experience working with AWS big data technologies (S3, EC2) and demonstrate experience in distributed data processing, Data Modeling, ETL Development, and/or Data Warehousing
Demonstrated mid-level knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
3+ years of experience using analytical concepts and statistical techniques
8+ years of demonstrated experience across Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science especially around software engineering and/or designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence

Preferred Experience

ArcGIS expertise
Experience using Python’s NumPy
Familiar with git-based revision control
Familiar with DevSecOps analytics development

Additional Information

For more information about Barbaricum, please visit our website at www.barbaricum.com. We will contact candidates directly to schedule interviews. No phone calls please.