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60 Barbaricum Data Software Engineer Jobs Hiring Near You

Barbaricum

Data Engineer

Omaha, NE

$109.50K - $131.50K/yr

Barbaricum is a rapidly growing government contractor providing leading-edge support to federal ... Demonstrated mid-level knowledge of software engineering best practices across the development ...

Barbaricum

Data Engineer

Omaha, NE · On-site

$109.50K - $131.50K/yr

Barbaricum is a rapidly growing government contractor providing leading-edge support to federal ... Demonstrated mid-level knowledge of software engineering best practices across the development ...

Barbaricum

Software Engineer

Springfield, VA · On-site

Barbaricum is a rapidly growing government contractor providing leading-edge support to federal ... Responsibilities : • Collaborate with a team of software and data engineers to solve technical ...

Barbaricum

Data Engineer/Maven SME

Omaha, NE · On-site

$109.50K - $131.50K/yr

Barbaricum is a rapidly growing government contractor providing leading-edge support to federal ... software engineering • 4+ Years of experience with Maven Smart System/Palantir systems • ...

Barbaricum

Software Engineer

Springfield, VA · On-site

Barbaricum is a rapidly growing government contractor providing leading-edge support to federal ... Responsibilities: * Collaborate with a team of software and data engineers to solve technical ...

Barbaricum

Data Engineer/Maven SME

Omaha, NE · On-site

$109.50K - $131.50K/yr

Barbaricum is a rapidly growing government contractor providing leading-edge support to federal ... Demonstrated mid-level knowledge of software engineering best practices across the development ...

Barbaricum

Data Engineer/Maven SME

Omaha, NE

$109.50K - $131.50K/yr

Barbaricum is a rapidly growing government contractor providing leading-edge support to federal ... Demonstrated mid-level knowledge of software engineering best practices across the development ...

Barbaricum

Software Engineer

Springfield, VA · On-site

Barbaricum is seeking an experienced Software Engineer to support an established development team ... Responsibilities: * Collaborate with a team of software and data engineers to solve technical ...

Barbaricum

Data Engineer

Omaha, NE · On-site +1

$109.50K - $131.50K/yr

Barbaricum is seeking a Data Engineer to provide support an emerging capability for the USSTRATCOM ... Active DoD Top Secret/SCI clearance required * 8+ years of demonstrated experience in software ...

Barbaricum

Data Engineer/Maven SME

Omaha, NE

$109.50K - $131.50K/yr

Barbaricum is seeking a Data Engineer to provide support an emerging capability for the USSTRATCOM ... Demonstrated mid-level knowledge of software engineering best practices across the development ...

Barbaricum

Data Engineer with Security Clearance

Omaha, NE · On-site +1

$98.50K - $118.30K/yr

Barbaricum is seeking a Data Engineer to provide support an emerging capability for the USSTRATCOM ... Active DoD Top Secret/SCI clearance required * 8+ years of demonstrated experience in software ...

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What are the key skills and qualifications needed to thrive as a Data Software Engineer, and why are they important?

To thrive as a Data Software Engineer, you need strong programming skills (often in Python, Java, or Scala), a solid understanding of data structures and algorithms, and a background in computer science or a related field. Familiarity with big data frameworks (like Hadoop or Spark), database systems (SQL/NoSQL), and data pipeline tools is typically required, along with relevant certifications such as AWS Certified Data Analytics. Excellent problem-solving abilities, collaboration, and effective communication are soft skills that set top performers apart. These skills ensure the efficient design, development, and optimization of robust data systems critical for driving business insights and decision-making.

What are some common challenges Data Software Engineers face when working with large datasets?

Data Software Engineers often encounter challenges related to scalability, data quality, and system performance when handling large datasets. Ensuring that data pipelines can efficiently process high volumes of data without bottlenecks requires robust architecture and frequent optimization. Additionally, maintaining data integrity and consistency across distributed systems can be complex, especially when integrating data from multiple sources. Collaboration with data scientists, analysts, and DevOps teams is key to overcoming these challenges and building reliable, efficient data solutions.

What are Data Software Engineers?

Data Software Engineers are professionals who design, build, and maintain the software systems that enable organizations to collect, process, and analyze large volumes of data. They bridge the gap between data engineering and software development by creating scalable, efficient pipelines and applications that support data-driven decision making. Their responsibilities often include developing data processing frameworks, ensuring data quality, and collaborating with data scientists and analysts to deliver actionable insights.

What is the difference between Data Software Engineer vs Data Engineer?

AspectData Software EngineerData Engineer
Primary FocusDeveloping software tools and applications for data processing and analysisBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsProgramming, software development, data modeling, often with certifications in software engineeringDatabase systems, ETL tools, cloud platforms, often with certifications in data engineering
Work EnvironmentSoftware development teams, data science teams, often in tech companiesData infrastructure teams, IT departments, cloud service providers

While both roles work with data, Data Software Engineers focus on creating software solutions for data analysis, whereas Data Engineers build the infrastructure to collect, store, and process data efficiently. Both roles require programming skills and often overlap, but their core responsibilities differ in scope and focus.

What other companies are hiring for Data Software Engineer jobs?
What are the most popular jobs at Barbaricum?
What are the most popular categories at Barbaricum?
Infographic showing various Data Software Engineer job openings at Barbaricum in the United States as of May 2026, with employment types broken down into 87% Full Time, 2% Temporary, and 11% Contract. Highlights an 99% Physical, and 1% Hybrid job distribution.
Data Engineer

Data Engineer

Barbaricum

Omaha, NE

$109.50K - $131.50K/yr

Full-time

Posted 10 days ago

Job description

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 17 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, Bedford, IN, 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 our team.

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.

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/SCI 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

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.

EEO Commitment

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.