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Data Bi Engineer Jobs in Shiloh, IL (NOW HIRING)

Stellar IT Group

Data Analyst

Saint Louis, MO · On-site

Note: This is not a Data Engineer role . Candidates must have a strong analytics and data ... Ensure data is usable, consistent, and reliable for analytics, BI, and business teams * Support ...

Stellar IT Group

Data Scientist

Saint Louis, MO · On-site

Experience ensuring data is accurate and usable for downstream analytics/BI * Solid traditional Machine Learning: Feature engineering, model training, evaluation * Not a model-only / AI-heavy DS

LaunchCode

Data Engineer with Security Clearance

Shiloh, IL · On-site

$85K - $130K/yr

The Data Engineer will be responsible for designing, developing, and maintaining scalable cloud and ... Familiarity with business intelligence platforms such as Cognos Analytics, Qlik Sense, and Power BI.

New

Collabera

SQL Server/ BI developer

Saint Louis, MO · On-site

They will be working on building ETL processes, building report support for daily production jobs, and doing data analysis Qualifications Must Haves: SQL SSIS SSRS ETL 3-5 years experience Additional ...

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Showing results 21-40

All JobsData Bi Engineer JobsData Bi Engineer Jobs in Shiloh, IL

Data Bi Engineer information

See Shiloh, IL salary details

$41.5K

$120.9K

$165.5K

How much do data bi engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data bi engineer in Shiloh, IL is $120,920.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,200.00 per year, depending on experience, location, and employer.

What is a Data BI engineer?

Data BI (Business Intelligence) Engineers are professionals who design, build, and maintain systems that transform raw data into meaningful business insights. They develop data pipelines, integrate various data sources, and create reports or dashboards to support decision-making processes. Their work ensures that companies have accurate, timely, and actionable information to drive strategy and operations. Data BI Engineers typically work closely with data analysts, data scientists, and business stakeholders.

What are the key skills and qualifications needed to thrive as a Data BI engineer?

To thrive as a Data BI Engineer, you need strong skills in data modeling, SQL, ETL processes, and a background in computer science or a related field. Familiarity with BI tools such as Power BI, Tableau, or Looker, as well as experience with data warehouses and cloud platforms like AWS or Azure, is typically required. Critical thinking, problem-solving, and effective communication are crucial soft skills for translating data insights into actionable business recommendations. These skills and qualities are essential for building reliable data solutions that empower organizations to make informed, data-driven decisions.

How does a Data BI engineer typically collaborate with business stakeholders and data analysts?

A Data BI Engineer frequently works with business stakeholders and data analysts to understand data requirements, translate business needs into technical specifications, and ensure data solutions align with organizational goals. This role often involves participating in meetings to gather requirements, sharing progress updates, and iterating on dashboards or data pipelines based on feedback. Effective communication is key, as Data BI Engineers must bridge the gap between technical data structures and actionable business insights. Regular collaboration helps ensure that the data solutions provided are both technically sound and valuable for decision-making.

What is the difference between Data Bi Engineer vs Data Analyst?

AspectData Bi EngineerData Analyst
Primary FocusBuilding data pipelines, data warehousing, and integrating data systemsAnalyzing data to generate reports and insights
Skills & ToolsSQL, ETL processes, data modeling, cloud platformsExcel, SQL, visualization tools like Tableau or Power BI
Work EnvironmentData engineering teams, IT departments, cloud environmentsBusiness units, analytics teams, management
CredentialsData engineering certifications, SQL, cloud certificationsData analysis certifications, SQL, visualization skills

While both roles work with data, Data Bi Engineers focus on building and maintaining data infrastructure, whereas Data Analysts interpret data to provide actionable insights. Understanding these differences helps organizations assign the right responsibilities and professionals for their data needs.

What cities near Shiloh, IL are hiring for Data Bi Engineer jobs?

Cities near Shiloh, IL with the most Data Bi Engineer job openings:

Data Bi Engineer jobs near you
Infographic showing various Data Bi Engineer job openings in Shiloh, IL as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $120,920 per year, or $58.1 per hour.

Data Analytics & Visualization Engineer

C3EL

Scott Air Force Base, IL

$110K - $133K/yr

Full-time

Posted 21 days ago

Job description

Overview:

Job Title: Data Analytics & Visualization Engineer

Security Clearance: Secret

Location: Scott AFB, IL

(Due to the nature of the work and contract requirements, U.S. Citizenship is required.)

Description:

C3EL is seeking a Data Analytics & Visualization Engineer for the Global Solution Management – Operations II (GSM-O II) contract, under the Global Automations & Intelligent Network Solutions (GAINS) Team. This is an exciting opportunity to work in a fast-paced environment where innovation, collaboration, and growth are at the forefront.

This role is responsible for transforming raw data into clean, reliable, and accessible datasets, and for delivering actionable insights through advanced analytics and compelling visualizations. The primary visualization tool for this position is Kibana or experience with other similar tools (i.e. Tableau, Power BI, Grafana) is preferred. The candidate will bridge the gap between raw data and operational decision-making, applying best practices in data quality, analytics, and visualization to support mission objectives. This position is ideal for candidates who are passionate about transforming data into insights, enabling operational excellence, and driving mission success through analytics and visualization, with Kibana as the primary visualization platform.

As a key Real-Time Visibility team member, you will work as part of a fast paced, Agile development and implementation team to architect, design and develop a unified User Experience / User Interface (UX/UI) that provides a holistic single-pane-of-glass interface for an integrated solution on the Kibana platform. You will also work with operational end users and support teams to perform requirements analysis, as well as design, develop and demonstrate UI mockups and wireframes.

Responsibilities will include, but not be limited to:

  • Gather, clean, and validate data from multiple sources to ensure accuracy, consistency, and usability.
  • Analyze complex datasets to identify trends, patterns, and insights that answer operational and business questions.
  • Design and develop interactive dashboards, reports, and visualizations using Kibana as the primary tool, ensuring findings are communicated clearly and effectively to stakeholders.
  • Applying the basics of visual design (i.e. UI) principles in their design work such as visual hierarchy, proximity, similarity, font selection, and color theory and demonstrate an understanding of visual, layout, content organization, and accessibility guidelines.
  • Translate analytical results into actionable recommendations and present findings to technical and non-technical audiences.
  • Engage with stakeholders to understand business needs, operational challenges, and data requirements.
  • Refine and maintain data transformation pipelines, ensuring data quality, reliability, and alignment with business logic.
  • Develop and maintain self-service analytics tools and reusable data assets to empower end users.
  • Document data models, business logic, transformation processes, and analytics workflows for transparency and knowledge sharing.
  • Work closely with data engineers, business analysts, and other stakeholders to deliver integrated data solutions.
Minimum Qualifications:
  • U.S. Citizenship.
  • An active, in-scope US Government issued Secret clearance before the start date.
  • Ability to obtain Security+ certification or equivalent DoD 8570 IAT II certification within 14 days of the start date.
  • Demonstrable experience designing and building data visualizations and dashboards using Kibana.
  • Hands-on experience with data cleaning, transformation, and analysis using tools such as Python (pandas, numpy), SQL, or R.
  • Strong understanding of data modeling, ETL processes, and data pipeline development.
  • Ability to translate business requirements into technical solutions and actionable insights.
  • Excellent communication skills, with the ability to present complex data findings to diverse audiences.
  • Experience with version control systems (e.g., Git) and collaborative development environments.
  • Strong attention to detail and commitment to data quality and reliability.
  • Strong communication and documentation skills for collaboration and knowledge sharing.
  • Experience in application integration design and strong communication skills for collaboration with virtual teams.
  • Must be able to commute to Scott AFB, IL for full-time onsite support.
Desired Qualifications:
  • Experience with Elastic Stack (Elasticsearch, Logstash, Kibana) for data analysis and visualization.
  • Experience with other data visualization tools such as Tableau, Power BI, Grafana, or similar.
  • Experience developing self-service analytics solutions and reusable data assets.
  • Familiarity with Agile methodologies and project management tools (e.g., JIRA, Confluence).
  • Experience with cloud-based data platforms (AWS, Azure, GCP) and big data technologies.
  • Knowledge of data governance, security, and compliance best practices.
  • Experience documenting data models, business logic, and transformation processes.
  • Experience working in mission-driven or operational environments.
  • Experience developing and deploying software in a DoD environment (DISA experience is a plus).
  • Experience with DISA and DoD Networks.
  • Understanding of network routing devices and network device configurations
  • Experience with text mining tools and techniques, including ELK Stack for summarization, search, and entity extraction.
  • Familiarity with CI/CD techniques, containerized pipelines, and DevOps practices.
  • Familiarity with Kubernetes deployment, Agile methodologies, and tools.
  • Familiarity with AWS GovCloud and cloud infrastructure, including networking and security policies.
  • Experience with Agile methodologies and related tools. Experience with Atlassian tools, including JIRA and Confluence.
  • Strong understanding of Agile methodologies, including Scrum and SAFe.
  • Experience working remotely with a geographically dispersed team.
Education:
  • A Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related technical discipline and 8+ years of relevant experience is required.