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Manager Data Analytics Engineer Jobs in Shiloh, IL

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

UNCOMN is seeking an Analytics Engineer 1-2 to: * Execute and support Analysis of Mobility Platform ... data. * Familiarity with Palantir or other relational database management systems. * Working ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Data Engineer Manager

Saint Louis, MO · On-site +1

$111K - $133K/yr

This team will work closely with technology leaders, the Data & Analytics business team and ... management, and data engineering. The Cloud Data Engineering team within Data Engineering will ...

Data & AI Platform Engineer

Saint Louis, MO

$111K - $133K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data ... Data/Analytics Tooling Support * Assist teams with onboarding and "how-to" enablement across a core ...

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Data Governance- Manager

Saint Louis, MO · On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Bachelor's degree or equivalent experience in Equifax Internal processes/applications * 4+ years of experience in master data management and/or data analytics for B2B subject areas * 4+ years of ...

Showing results 21-40

Manager Data Analytics Engineer information

See Shiloh, IL salary details

$41.5K

$120.9K

$165.5K

How much do manager data analytics engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for manager data analytics 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 manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a manager data analytics engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

What are popular job titles related to Manager Data Analytics Engineer jobs in Shiloh, IL?

For Manager Data Analytics Engineer jobs in Shiloh, IL, the most frequently searched job titles are:

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

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

Data Analytics & Visualization Engineer with Security Clearance

C3EL

Scott Air Force Base, IL • On-site

$110K - $133K/yr

Other

Posted 18 days ago


Job description

Data Analytics & Visualization Engineer Scott AFB, IL Apply 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. Get new jobs like this in your inbox We'll email you when C3EL posts a job like this one.
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