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Intern Qlik Sense Developer Jobs in Virginia (NOW HIRING)

Expression Networks

Data Platform Architect

Falls Church, VA · On-site

$68 - $87.50/hr

... and Qlik Sense. * Build and support integrations with MAVEN Smart Systems/Palantir Foundry environments and other enterprise systems. * Collaborate with engineers, data scientists, BI analysts ...

Truist

Decision Scientist III

Richmond, VA · On-site

... programming skills (SAS, SQL, Toad, Matillion, Sigma), exposure to applied data science tools (R, Python, SAS E-Miner), familiarity with data visualization and BI tools (Power BI, Qlik Sense or ...

Truist

Decision Scientist III

Richmond, VA · On-site

... programming skills (SAS, SQL, Toad, Matillion, Sigma), exposure to applied data science tools (R, Python, SAS E-Miner), familiarity with data visualization and BI tools (Power BI, Qlik Sense or ...

HDR

Electrical Engineering Intern

Virginia Beach, VA · On-site

$18 - $23.75/hr

In the role of Electrical Engineering Intern, we'll count on you to: * Gain real-world experience ... sense of belonging and foster a supportive environment where everyone is empowered to engage and ...

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Intern Qlik Sense Developer information

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 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 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.

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The most popular types of Qlik Sense Developer jobs in Virginia are:

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Intern Qlik Sense Developer jobs near you

Data Platform Architect

Expression Networks

Falls Church, VA • On-site

$68 - $87.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

Expression is seeking an experienced Data Platform Architect to provide architectural guidance, technical standards, and operational support for teams delivering secure, scalable data, analytics, and AI/ML solutions in mission environments.
The Data Platform Architect will work across engineering, data science, analytics, platform, and mission teams to guide implementation in Databricks and Palantir Foundry. This role will help delivery teams structure data pipelines, data products, analytics and ML workflows, and platform assets so solutions are consistent, reusable, governed, supportable, and production-ready.
The successful candidate will provide hands-on guidance spanning data integration, DataOps, DevOps, MLOps, governance, security, compliance, performance optimization, and platform operations while helping teams move solutions from prototypes into reliable production environments.
Clearance: Top Secret clearance required with eligibility for SCI.
Location: Full time onsite at the Suffolk Building, 5616 Columbia Pike, Falls Church, VA
Key Responsibilities
  • Provide hands-on architectural guidance to teams implementing data pipelines, analytics workflows, data products, and AI/ML capabilities in Databricks and Palantir Foundry.
  • Guide selection and implementation of platform-native capabilities for data ingestion, transformation, orchestration, model execution, analytics, and data-product delivery.
  • Advise teams on appropriate use of Databricks, Foundry, and integrated cross-platform architectures.
  • Guide the transition of prototypes and notebook-based solutions into reliable, maintainable production workflows.
  • Establish and maintain technical standards for project structure, code organization, pipeline design, workflow orchestration, testing, metadata, lineage, documentation, and platform implementation.
  • Develop reusable templates, reference architectures, and implementation patterns that improve consistency and accelerate delivery.
  • Promote scalable approaches including medallion architecture, governed data publishing, reusable transformation logic, and shared analytics and ML components.
  • Conduct technical reviews and provide actionable guidance to improve scalability, maintainability, reliability, and supportability.
  • Guide CI/CD implementation for jobs, pipelines, notebooks, packaged code, models, and data products.
  • Establish operational practices for deployment, environment promotion, monitoring, alerting, rollback, release management, observability, lineage, and data-quality validation.
  • Promote reproducible MLOps practices for model training, validation, packaging, registration, deployment, monitoring, batch inference, and lifecycle management using MLflow, Databricks workflows, and related capabilities.
  • Design scalable ML inference approaches supporting production workloads and establish monitoring for model performance, data drift, and system health.
  • Support self-service ML capabilities that enable data scientists to efficiently deploy and monitor models.
  • Define integration patterns for onboarding data sources, managing schema evolution, and connecting Databricks and Foundry with enterprise systems, applications, data warehouses, streaming platforms, APIs, and BI tools.
  • Guide implementation of secure access controls, governed data sharing, metadata management, data catalogs, lineage, traceability, and audit-ready workflows.
  • Establish data-quality standards and automated testing approaches for analytical and ML workloads.
  • Partner with stakeholders to define data definitions, business logic, governance requirements, and compliant handling of structured and unstructured data.
  • Advise teams on Spark optimization, workload design, workflow dependencies, storage and compute utilization, and other platform-performance considerations.
  • Identify and help resolve architecture, integration, reliability, and performance issues affecting production jobs, data products, and operational analytics.
  • Design data models supporting machine learning, analytics, and business intelligence requirements, including integrations with Tableau, Power BI, and Qlik Sense.
  • Build and support integrations with MAVEN Smart Systems/Palantir Foundry environments and other enterprise systems.
  • Collaborate with engineers, data scientists, BI analysts, product managers, platform and security teams, and mission stakeholders to align architecture decisions with delivery priorities.
  • Participate in design sessions, technical reviews, sprint activities, demonstrations, and cross-team problem solving.
  • Maintain technical documentation supporting implementation consistency, reuse, operational handoff, and long-term supportability.

Required Qualifications
  • 5+ years of technical experience, including 3+ years designing or implementing production solutions on Databricks, Palantir Foundry, or similar modern data platforms.
  • Strong experience with Python, SQL, PySpark, and Spark SQL for scalable data-processing workflows.
  • Experience with Palantir Foundry or comparable enterprise analytics platforms, including pipeline development, governed data delivery, lineage, and operational analytics.
  • Experience designing and operationalizing data pipelines, transformation workflows, and data products supporting structured and unstructured data.
  • Hands-on knowledge of Databricks platform capabilities such as Delta Lake, Workflows, MLflow, Unity Catalog, or similar platform-native services.
  • Familiarity with DataOps, DevOps, and MLOps practices, including CI/CD, version control, testing, deployment, monitoring, and operational support.
  • Strong understanding of data quality, metadata management, lineage, access control, and governance within secure or regulated environments.
  • Experience troubleshooting architecture, integration, performance, and operational issues across distributed data platforms.
  • Ability to establish technical standards, guide architecture and implementation decisions, and clearly communicate technical concepts to technical and non-technical stakeholders.

Preferred Qualifications
  • Deep Databricks expertise, including medallion architecture, Delta optimization, workload tuning, cluster and job strategy, and production ML enablement.
  • Experience implementing solutions in Palantir Foundry, including data-pipeline organization, governed data assets, operational workflows, and integrations.
  • Experience with Git-based CI/CD pipelines, infrastructure and deployment tooling, and cloud-native platform services.
  • Experience supporting the ML lifecycle, including model packaging, registration, deployment, monitoring, and inference-workflow integration.
  • Knowledge of enterprise data integration, API-based data exchange, and secure cross-platform interoperability.
  • Experience with Advana/MAVEN Smart System (Palantir Foundry) or similar DoD enterprise analytics environments.
  • Prior experience supporting Department of Defense, Intelligence Community, or other Federal mission environments.

Benefits:
Expression offers competitive salaries and benefits, such as:
  • 401k matching
  • PPO and HDHP medical/dental/vision insurance
  • Education reimbursement up to $10,000/yr
  • Complimentary life insurance
  • Generous PTO and 11 days of holiday leave
  • Onsite gym facility and trainer
  • Commuter Benefits Plan
  • In-office Cold Brew Coffee

About Expression:
Founded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, AI/ML, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community. Expression's culture focuses on creating immediate and sustainable value for our clients via agile delivery of tailored solutions built through constant engagement with our clients. Expression was ranked #1 on the Washington Technology 2018's Fast 50 list of fastest-growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.
We make sure to provide everyone with the tools and opportunities to grow while working on some of the newest technologies in the industry. We get excited about celebrating our professionals' milestones, accomplishments, promotions, overcoming challenges, and many other aspects that make an engaging collaborative environment.
Equal Opportunity Employer/Veterans/Disabled
Expression is an Equal Opportunity Employer. If you require a reasonable accommodation during the application or interview process, please submit your request to our Human Resources department through the application portal.

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