barbaricum

Senior Data Engineer

Intelligence Operations Integrator

Unit System Integrator

Training Director

Systems Engineer

System Administrator

Test Coordinator

The Data Engineer will build scalable pipelines and data models, implement ETL workflows, and help ensure enterprise data is reliable, accessible, and secure. This role involves working closely with data scientists, analysts, engineers, and stakeholders to translate mission and business needs into high-quality data solutions and actionable insights, optimizing database and pipeline performance, and implementing data quality and security measures.

Senior Program Manager

<p class="my-4 text-gray-700 leading-relaxed"><em>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.</em></p><p class="my-4 text-gray-700 leading-relaxed"><em>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.</em></p><p class="my-4 text-gray-700 leading-relaxed">The Data Engineer will build scalable pipelines and data models, implement ETL workflows, and help ensure enterprise data is reliable, accessible, and secure. You will work closely with data scientists, analysts, engineers, and stakeholders to translate mission and business needs into high-quality data solutions and actionable insights.</p><p class="my-4 text-gray-700 leading-relaxed"><strong>Responsibilities:</strong></p><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Build and maintain scalable, reliable data pipelines to collect, process, and store data from multiple sources</li><li class="leading-relaxed">Design and implement ETL processes to support analytics, reporting, and operational needs</li><li class="leading-relaxed">Develop and maintain data models, schemas, and standards to support enterprise data usage</li><li class="leading-relaxed">Collaborate with data scientists, analysts, and stakeholders to understand requirements and deliver solutions</li><li class="leading-relaxed">Analyze large datasets to identify trends, patterns, and actionable insights</li><li class="leading-relaxed">Present findings and recommendations through dashboards, reports, and visualizations</li><li class="leading-relaxed">Optimize database and pipeline performance for scalability and reliability across large datasets</li><li class="leading-relaxed">Monitor and troubleshoot pipeline issues to minimize downtime and improve system resilience</li><li class="leading-relaxed">Implement data quality checks, validation routines, and integrity controls</li><li class="leading-relaxed">Implement security measures to protect data and systems from unauthorized access</li><li class="leading-relaxed">Ensure compliance with data governance policies, security standards, and applicable regulatory requirements (e.g., GDPR, HIPAA as applicable)</li><li class="leading-relaxed">Establish best practices for data management, governance, and secure handling of sensitive information</li><li class="leading-relaxed">Stay current on relevant tools and emerging technologies to strengthen engineering and analytical capabilities</li><li class="leading-relaxed">Identify opportunities to improve workflows for data ingestion, processing, and analysis</li><li class="leading-relaxed">Evaluate and recommend tools, platforms, and data management solutions aligned to organizational goals</li></ul><p class="my-4 text-gray-700 leading-relaxed"><strong>Required Qualifications:</strong></p><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Active DoD TS/SCI clearance (required or pending verification)</li><li class="leading-relaxed">Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience) OR CSSLP / CISSP-ISSAP</li><li class="leading-relaxed">Strong programming skills in Python, Java, or Scala</li><li class="leading-relaxed">Strong SQL skills; familiarity with analytics languages/tools such as R</li><li class="leading-relaxed">Experience with data processing frameworks (e.g., Apache Spark, Hadoop) and orchestration tools (e.g., Airflow)</li><li class="leading-relaxed">Familiarity with cloud-based data services (e.g., AWS Redshift, Google BigQuery, Azure Data Factory)</li><li class="leading-relaxed">Experience with data modeling, database design, and data architecture concepts</li><li class="leading-relaxed">Strong analytical and problem-solving skills with attention to detail</li><li class="leading-relaxed">Strong written and verbal communication skills; ability to collaborate across technical and non-technical teams</li></ul><p class="my-4 text-gray-700 leading-relaxed"><strong>Desired Qualifications:</strong></p><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Master’s degree and/or certifications (e.g., AWS Certified Data Analytics, DAMA CDMP)</li><li class="leading-relaxed">Experience with big data and streaming platforms (e.g., Kafka, Spark, Flink)</li><li class="leading-relaxed">Experience with containerization (Docker, Kubernetes)</li><li class="leading-relaxed">Familiarity with ML pipelines and data science workflows</li><li class="leading-relaxed">Knowledge of enterprise architecture frameworks (e.g., TOGAF)</li></ul><p class="my-4 text-gray-700 leading-relaxed"><strong>EEO Commitment</strong></p><p class="my-4 text-gray-700 leading-relaxed">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.</p>

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<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Line of Service</h2><p class="my-4 text-gray-700 leading-relaxed">Advisory</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Industry/Sector</h2><p class="my-4 text-gray-700 leading-relaxed">Not Applicable</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Specialism</h2><p class="my-4 text-gray-700 leading-relaxed">Data, Analytics & AI</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Management Level</h2><p class="my-4 text-gray-700 leading-relaxed">Senior Associate</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Job Description & Summary</h2><p class="my-4 text-gray-700 leading-relaxed">At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Why PWC</h2><p class="my-4 text-gray-700 leading-relaxed">At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more <a href="https://www.pwc.in/about-us.html" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">about us</a>.</p><p class="my-4 text-gray-700 leading-relaxed">At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Job Description & Summary:</h2><p class="my-4 text-gray-700 leading-relaxed">A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Responsibilities:</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Design and develop data pipelines using Databricks and PySpark to ingest, process, and transform large volumes of data.</li><li class="leading-relaxed">Implement ETL/ELT workflows to move data from source systems to Data Warehouses, Data Lakes, and Lake Houses using cloud-native tools.</li><li class="leading-relaxed">Work with structured and unstructured data stored in AWS or Azure Data Lakes.</li><li class="leading-relaxed">Apply strong SQL and Python skills to manipulate and analyze data efficiently.</li><li class="leading-relaxed">Collaborate with cross-functional teams to deliver cloud-based serverless data solutions.</li><li class="leading-relaxed">Design innovative data solutions that address complex business requirements and support data-driven decision-making.</li><li class="leading-relaxed">Maintain documentation and enforce best practices for data architecture, governance, and performance optimization.</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Mandatory skill sets:</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Databricks, PySpark, and SQL on any cloud platform (AWS or Azure).</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Preferred skill sets:</h2><p class="my-4 text-gray-700 leading-relaxed">ETL, Pyspark</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Years of experience required:</h2><p class="my-4 text-gray-700 leading-relaxed">4 to 10 Years</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Education qualification:</h2><p class="my-4 text-gray-700 leading-relaxed">Bachelor's degree in computer science, data science or any other Engineering discipline. Master’s degree is a plus.</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Education</h2><p class="my-4 text-gray-700 leading-relaxed">Degrees/Field of Study required: Bachelor Degree, Master Degree</p><p class="my-4 text-gray-700 leading-relaxed">Degrees/Field of Study preferred:</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Certifications</h2><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Required Skills</h2><p class="my-4 text-gray-700 leading-relaxed">Databricks Platform</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Optional Skills</h2><p class="my-4 text-gray-700 leading-relaxed">Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}</p>

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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! - This assessment gives us an idea of your problem solving skills using DSA- Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc.- 10 Multiple Choice questions

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Programming Patterns

Let's assess your OOPs skills! ????- This assessment gives us an idea of your fundamental OOPS concepts and Solid principles skills- Companies that evaluate this skillset in interviews: Hitwicket, GSN Games, Tomo Club, etc.

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Let's assess your Unity Skills ????- This assessment gives us an idea of your Unity fundamentals- Companies you can apply for after taking this assessment: Godspeed games, Salvation Games, nCore Games, etc.

Senior Data Engineer

Intelligence Operations Integrator

Intelligence Operations Integrator

Unit System Integrator

Training Director

Training Director

Systems Engineer

System Administrator

Test Coordinator

Job Details