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Intern Qlik Sense Developer Jobs in Nebraska (NOW HIRING)

ML Engineer Location: Omaha, NE Clearance Level: Active DoD Top Secret Overview: At Agile Defense ... PowerBI, Qlik Sense) Implement data governance standards and metadata management systems that ...

BIM Transportation Intern

Bennington, NE · On-site

$14.50 - $19.25/hr

As we work to weave diversity, equity, and inclusion into our work and foster a sense of belonging ... We bring together planners, engineers, architects, construction management staff, environmental ...

BIM Transportation Intern

Bennington, NE

$14.50 - $19.25/hr

As we work to weave diversity, equity, and inclusion into our work and foster a sense of belonging ... We bring together planners, engineers, architects, construction management staff, environmental ...

BIM Transportation Intern

Omaha, NE · On-site

$14.25 - $19.25/hr

As we work to weave diversity, equity, and inclusion into our work and foster a sense of belonging ... We bring together planners, engineers, architects, construction management staff, environmental ...

BIM Transportation Intern

Omaha, NE · On-site

$14.25 - $19.25/hr

As we work to weave diversity, equity, and inclusion into our work and foster a sense of belonging ... We bring together planners, engineers, architects, construction management staff, environmental ...

Intern Qlik Sense Developer information

What are the key skills and qualifications needed to thrive as an Intern Qlik Sense Developer, and why are they important?

To thrive as an Intern Qlik Sense Developer, you need a solid understanding of data analysis, SQL, and basic business intelligence concepts, often supported by coursework in computer science or information systems. Familiarity with Qlik Sense, data visualization tools, and possibly introductory Qlik certifications are valuable for this role. Strong problem-solving skills, attention to detail, and effective communication help you interpret requirements and collaborate with teams. These skills are crucial for delivering accurate, insightful dashboards and supporting data-driven decision-making in the organization.

What types of projects and responsibilities can an Intern Qlik Sense Developer expect during their internship?

As an Intern Qlik Sense Developer, you will typically work on real-world data visualization and reporting projects, often under the guidance of senior developers or business analysts. Your responsibilities may include designing dashboards, cleaning and transforming data, and assisting with the integration of Qlik Sense apps into business processes. You'll frequently collaborate with team members from IT and business units to understand data requirements and ensure the solutions you build meet user needs. This hands-on experience not only builds your technical skills but also enhances your understanding of how data-driven decisions are made in the organization.

What does an Intern Qlik Sense Developer do?

An Intern Qlik Sense Developer assists in designing, developing, and maintaining data visualization dashboards using Qlik Sense. They work under the guidance of senior developers to gather requirements, prepare data, and create interactive reports that help organizations make data-driven decisions. Interns often learn about data modeling, scripting, and best practices in business intelligence during their internship. They may also help troubleshoot issues and optimize existing dashboards for better performance.
What are popular job titles related to Intern Qlik Sense Developer jobs in Nebraska? For Intern Qlik Sense Developer jobs in Nebraska, the most frequently searched job titles are:
What cities in Nebraska are hiring for Intern Qlik Sense Developer jobs? Cities in Nebraska with the most Intern Qlik Sense Developer job openings:

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Re-posted 28 days ago


Job description

About Agile Defense
 
At Agile Defense we know that action defines the outcome and new challenges require new solutions. That's why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next.
 
Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility-leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation's vital interests.

Requisition #: 1418
 
Job Title: ML Engineer 
 
Location: Omaha, NE
 
Clearance Level: Active DoD Top Secret
 
Overview:
At Agile Defense we know that action defines the outcome and new challenges require new solutions. That's why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next.
 
Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility-leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation's vital interests. We are currently looking for an ML Engineer to support our contract with the DRAID CDAO ADA IR Program.
 
As an ML Engineer at Agile Defense, you will be joining a team of professionals that secure, scalable data architectures and AI/ML pipelines. This role will support data science and engineering activities, partnering with product teams, data engineers, mission stakeholders, and technologists to unlock the value of structured and unstructured data in support of national defense priorities. You will implement data engineering activities and develop and deploy pipelines and platforms that organize and make complicated data meaningful.
 
 
Responsibilities/Duties:   
 
Build Scalable Data & ML Infrastructure
 Design and implement medallion architecture (Bronze/Silver/Gold) using Databricks for reliable data processing and ML model training
 Develop automated data pipelines that process structured and unstructured data from multiple sources into analytics-ready formats
 Create robust ETL/ELT workflows using Apache Spark and modern data engineering practices for both batch and streaming data
 Build and maintain data quality monitoring and validation systems across the entire data and ML lifecycle
Drive ML Platform Excellence
 Implement MLOps best practices including automated model training, validation, deployment, and monitoring using MLflow and Databricks workflows
 Design scalable ML inference systems that handle high-volume, low-latency predictions in production environments
 Create comprehensive monitoring and alerting systems for model performance, data drift, and system health
 Build self-service ML capabilities that enable data scientists to deploy and monitor their own models efficiently
 
Enable Advanced Analytics & Business Intelligence
 Design and maintain data models that support both machine learning workloads and business intelligence requirements
 Create integration points between ML systems and business intelligence platforms (Tableau, PowerBI, Qlik Sense)
 Implement data governance standards and metadata management systems that ensure data quality and compliance
 Collaborate with analysts and data scientists to optimize data architecture for both predictive modeling and reporting needs
 
Ensure Data Quality & Governance
 Implement comprehensive data governance frameworks including data lineage tracking, quality monitoring, and compliance controls
 Design and maintain data catalogs and metadata management systems that enable efficient data discovery across the organization
 Establish data quality standards and automated testing frameworks for both analytical and ML workloads
 Work with stakeholders to define data definitions, business logic, and governance policies
 
Integrate with Enterprise Systems
 Build integrations with MAVEN Smart Systems (Palantir Foundry) environments to support operational and predictive analytics
 Connect Databricks-based systems with enterprise data warehouses, streaming platforms, and business applications
 Implement security and compliance controls that meet enterprise requirements while enabling self-service capabilities
 Collaborate with platform engineers to integrate ML systems with broader application architecture and infrastructure
 
Required Skills - What You'll Bring:
 5+ years of technical experience, including 3+ years building production data pipelines and ML infrastructure using distributed computing platforms like Databricks.
 Strong data engineering skills in Python, PySpark, and Spark SQL with experience implementing medallion architecture and modern data platform patterns
 Production ML systems experience including model deployment, monitoring, and MLOps practices in cloud environments
 Data architecture expertise with experience designing scalable data processing systems and implementing data governance frameworks
 Experience integrating with platforms such as Qlik, Tableau, PowerBI, MAVEN Smart System (Palantir), or similar.
 
Preferred Skills - What Would Set You Apart:
 Deep expertise in distributed computing, performance optimization, and large-scale data processing using Databricks and Apache Spark
 Advanced MLOps knowledge including automated retraining, model versioning, model testing frameworks, and production ML monitoring
 Experience conducting regression analysis, and building predictive models for business applications with measurable impact
 Advanced statistical knowledge including experimental design, hypothesis testing, causal inference, and statistical modeling techniques
 Experience designing and building enterprise-level dashboards, reports, and self-service analytics platforms
 Analytics platform knowledge including experience with Advana / MAVEN Smart Systems (Palantir Foundry) or similar enterprise analytics environments
Our Core Values
 
Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together. 
 
What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are.
 
  • Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.
  • Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.
  • Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.
  • Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.
  • Hungry - Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.
  • Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.
 
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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