Barbaricum
Barbaricum

60 Barbaricum Data Software Engineer Jobs Hiring Near You

Senior Network Engineer III

Indianapolis, IN · On-site

$99.40K - $136.20K/yr

Barbaricum is a rapidly growing government contractor providing leading-edge support to federal ... or software-defined networking. EEO Commitment All qualified applicants will receive consideration ...

Barbaricum is a rapidly growing government contractor providing leading-edge support to federal ... data transfer solutions. • Familiarity with software development and systems engineering ...

Barbaricum is a rapidly growing government contractor providing leading-edge support to federal ... This position will manage the development cycle associated with producing resilient software ...

Barbaricum is a rapidly growing government contractor providing leading-edge support to federal ... data transfer solutions. • Familiarity with software development and systems engineering ...

Barbaricum is seeking a data professional experienced in data science and full-stack tool ... Designs and develops software requirements for multiple Artificial Intelligence/Machine Learning ...

Barbaricum is seeking a mission-driven Junior Data Analyst to support data-centric projects for a ... Collaborate with developers, engineers, and mission stakeholders to recommend system improvements ...

Senior Network Engineer III

Indianapolis, IN · On-site

$99.40K - $136.20K/yr

Barbaricum is a rapidly growing government contractor providing leading-edge support to federal ... or software-defined networking. EEO Commitment All qualified applicants will receive consideration ...

Showing results 41-60

Barbaricum Jobs Information

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 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 Analyst with Security Clearance

Data Analyst with Security Clearance

Barbaricum

Omaha, NE

Other

Posted 12 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 mission-driven Junior Data Analyst to support data-centric projects for a high-visibility government customer.

This role is ideal for early-career analysts who are eager to apply data science principles to national security challenges and collaborate across disciplines to surface insights that drive action. The analyst will work with structured and unstructured data, blending analytical techniques with clear communication to enable decision-making at scale. Core Responsibilities * Gather and reformat data from Government-identified primary and secondary sources for human and machine analysis.

* Use Python-based statistical tools (e.g., NumPy) and GIS tools (e.g., ArcGIS) to analyze datasets and identify trends, patterns, and insights relevant to mission outcomes. * Prepare analytical reports that clearly communicate findings to executive leadership in the context of local, national, and global security trends. * Collaborate with developers, engineers, and mission stakeholders to recommend system improvements and develop policies for data governance.

* Document the data analysis process in a way that enables reproducibility and transparency for Government stakeholders. Qualifications * Active DoD TS/SCI clearance. * Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related technical field.

* A certificate in Data Science or Data Engineering may supplement a non-technical degree. * At least 1 year of relevant experience applying data analysis principles, including predictive analytics and working with on-prem and cloud-based data systems. * Intermediate proficiency with Python, including use of libraries like NumPy or pandas.

* Familiarity with business intelligence (BI) methodologies, API integrations, and database design. * Demonstrated ability to identify trends and build diagnostic or predictive models. * Experience preparing data-driven deliverables for non-technical leadership audiences.

* Experience with ESRI ArcGIS Pro, Survey123, or similar tools. * Familiarity with git-based version control systems. * Exposure to DevSecOps or analytics development workflows.

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.