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Internship Data Visualization Jobs in St Louis, MO

Integrate data from multiple sources into actuarial and financial client reports and deliverables ... Prepare spreadsheets, graphs, charts, and other visualization tools to clearly communicate health ...

... reconcile data for accuracy and consistency. • Integrate data from multiple sources into ... other visualization tools to clearly communicate healthcare-related insights to clients. • ...

... reconcile data for accuracy and consistency. • Integrate data from multiple sources into ... other visualization tools to clearly communicate healthcare-related insights to clients. • ...

Showing results 21-33

Internship Data Visualization information

See St Louis, MO salary details

$11

$21

$40

How much do internship data visualization jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for internship data visualization in St. Louis, MO is $21.88, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $23.85 per hour, depending on experience, location, and employer.

What is an internship data visualization?

Internship data visualization roles are entry-level positions where interns learn to create visual representations of data to help organizations make data-driven decisions. These roles typically involve working with tools like Tableau, Power BI, or Python libraries to turn raw data into charts, graphs, and dashboards. Interns gain hands-on experience by assisting with data cleaning, analysis, and reporting tasks, while learning best practices in presenting complex information clearly and effectively. These internships are a great way for students and recent graduates to develop technical and analytical skills in a real-world setting.

What types of projects and tools can I expect to work with during a data visualization internship?

As a Data Visualization intern, you will typically collaborate with data analysts and business stakeholders to create visual representations of complex datasets. You can expect to work on projects such as interactive dashboards, infographics, and reports using tools like Tableau, Power BI, or open-source libraries such as D3.js and Plotly. Interns often assist in cleaning and preparing data, designing visual layouts, and presenting findings to team members. This role offers valuable exposure to both technical and creative aspects of data storytelling, and provides a strong foundation for future roles in data analytics or visualization.

What are the key skills and qualifications needed to thrive as an internship data visualization, and why are they important?

To thrive as an Internship Data Visualization, you need a solid understanding of data analysis, basic statistics, and proficiency with visualization concepts, often supported by coursework in computer science, statistics, or related fields. Familiarity with tools such as Tableau, Power BI, Excel, or programming languages like Python (with libraries such as Matplotlib or Seaborn) is typically expected. Attention to detail, creativity, and effective communication skills help interns present data insights clearly to diverse audiences. These skills ensure that data-driven stories are accurately and compellingly conveyed to support decision-making.

What is the difference between Internship Data Visualization vs Data Analyst Intern?

AspectInternship Data VisualizationData Analyst Intern
Required SkillsData visualization tools, basic analytics, programming (e.g., Excel, Tableau, Power BI)Data analysis, statistical skills, programming (e.g., SQL, Python), visualization
Work EnvironmentProject-based, collaborative teams, entry-levelData-focused projects, cross-departmental collaboration, entry-level
Industry UsageMarketing, finance, tech, researchBusiness, finance, healthcare, tech

Internship Data Visualization focuses on creating visual representations of data to communicate insights, often using tools like Tableau or Power BI. Data Analyst Interns perform broader data analysis, including statistical evaluation and data cleaning. Both roles are entry-level, require basic technical skills, and are used across various industries. The main difference lies in the emphasis: visualization versus comprehensive data analysis.

What are the most commonly searched types of Data Visualization jobs in St. Louis, MO?

The most popular types of Data Visualization jobs in St. Louis, MO are:

What cities near St. Louis, MO are hiring for Internship Data Visualization jobs?

Cities near St. Louis, MO with the most Internship Data Visualization job openings:

Infographic showing various Internship Data Visualization job openings in St. Louis, MO as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $45,509 per year, or $21.9 per hour.

Backend Developer with Security Clearance

TEKsystems c/o Allegis Group

Scott Air Force Base, IL • On-site

Contractor

Posted 12 days ago


Job description

Backend Developer (ELK/Kafka Data Engineer) Location: Scott AFB, IL (Onsite)
Clearance Required: Secret Clearance Employment Type: Contract (Long-Term)
Certification Requirement: Security+ certification required within 14 days of start Overview
We are seeking a Backend Developer/Data Software Engineer with experience in Elasticsearch, Kafka, and modern data engineering practices to support a large-scale modernization effort focused on improving operational visibility, connectivity, and decision-making across critical network environments.
This role will be responsible for designing, developing, and implementing secure, scalable data integration solutions while supporting real-time analytics, monitoring, and visualization capabilities. The ideal candidate has experience working with streaming data architectures, cloud-native technologies, distributed systems, and enterprise data platforms. This position is fully onsite and candidates must be able to commute to Scott AFB, IL. Key Responsibilities
Design, develop, and maintain scalable data pipelines and backend services for processing large and complex datasets.
Build and support data integration solutions using Confluent Kafka, Elasticsearch, Logstash, and Kibana.
Develop ETL/ELT pipelines to ingest, transform, and integrate data from multiple enterprise systems.
Create and optimize data lake and data warehouse solutions that support analytics, reporting, and operational dashboards.
Develop APIs and backend services using Python, Java, SQL, JavaScript, and related technologies.
Support visualization platforms and dashboards utilizing Kibana, HTML, JavaScript, and React-based technologies.
Manage deployments within AWS cloud environments and OpenShift/Kubernetes platforms.
Automate data ingestion, cleansing, validation, monitoring, and deployment processes through CI/CD pipelines.
Optimize platform performance, including data ingestion throughput, indexing strategies, query performance, storage utilization, and cluster stability.
Troubleshoot issues related to data processing, infrastructure, performance, and system integrations.
Collaborate closely with engineers, analysts, architects, and stakeholders to deliver secure and reliable data solutions.
Produce technical documentation, integration designs, interface documentation, test plans, and operational procedures.
Utilize Agile methodologies and tools such as Jira and Confluence throughout the software development lifecycle. Required Qualifications
Bachelor's degree in a technical discipline and at least 2 years of relevant experience through professional work, internships, or academic projects.
Experience developing APIs and backend services.
Strong experience with:
Confluent Kafka
Elasticsearch / Elastic Stack (ELK)
SQL
Python
JavaScript
Java
Experience building and supporting ETL/ELT pipelines and enterprise data integration solutions.
Knowledge of distributed data architectures and data lake implementations.
Experience with AWS services such as EC2, S3, Lambda, IAM, Kinesis, and CloudWatch.
Experience working in Kubernetes or OpenShift environments.
Familiarity with CI/CD pipelines, Infrastructure as Code, containerization, and DevOps practices.
Experience with Git, Bitbucket, or other distributed version control systems.
Understanding of data governance, metadata management, and data quality frameworks.
Knowledge of network security, encryption methods, and access control concepts.
Experience working within Agile development environments.
Strong written and verbal communication skills.
Ability to work effectively with geographically distributed teams.
Active Secret Clearance. Preferred Qualifications
Experience supporting Department of Defense or highly regulated environments.
Familiarity with compliance frameworks including RMF and STIG requirements.
Experience with:
Spark
Hadoop
NiFi
Databricks
ELK Stack
Big Data platforms
Knowledge of cybersecurity analytics, observability platforms, or incident response systems.
Experience with monitoring tools such as Prometheus and Grafana.
Cloud platform experience with AWS, Azure, GCP, or GovCloud environments.
Experience developing technical runbooks and operational documentation.
Certified Confluent Developer and/or Certified Elastic Engineer certifications. Top Skills
Elasticsearch / ELK Stack
Kafka / Confluent Kafka
API Development
Python
SQL
JavaScript
Java
ETL Development
CI/CD Pipelines
AWS
Kubernetes / OpenShift Why Join?
This modernization initiative focuses on improving mission effectiveness by reducing system downtime, accelerating connectivity for operational teams, and delivering timely, accurate information through advanced data integration and visualization capabilities. The work directly supports the development of scalable analytics platforms that enable faster decision-making and improved operational awareness.