Mid Level Network Support Engineer Jobs
Mid level network support engineer jobs go to engineers ready to own network projects end to end, make configuration decisions with limited oversight, and mentor junior technicians through complex troubleshooting. Openings run across Technology & Software, Insurance, and Aerospace & Defense, with 100% remote or hybrid availability, and employers like Meta, Skydio, and Fishbeck hiring at this level now.
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Become part of the Beebe team - an inclusive team positioned in a vibrant, coastal community. Enjoy a fulfilling career as you support the health of our patients and a team focused on excellence.
Overview:The Data Network Manager serves as a senior analytics leader and subject matter expert responsible for driving enterprise level analytics strategy, leading complex cross functional initiatives, and shaping data governance across the organization. This role blends advanced analytical expertise, project leadership, and organizational governance, including oversight of multiple committees that influence data standards, performance measurement, and strategic planning.
A core component of this role is leveraging Epic data assets including Clarity, Caboodle, and Epic reporting tools to deliver high impact insights that support clinical, operational, and strategic decision making.
Responsibilities: Enterprise Analytics Leadership
Serve as a senior expert and thought leader in data analytics, Epic data structures, and enterprise reporting.
Guide the development of advanced analytics solutions, dashboards, and models using Epic and nonepic data sources.
Establish best practices for data quality, governance, and analytical methodologies.
Partner with IT, Epic analysts, and data engineering teams to optimize data pipelines and reporting architecture.
Strategic Project Leadership
Lead high visibility, cross functional analytics projects that support organizational priorities.
Develop project frameworks, timelines, and resource plans; monitor progress and mitigate risks.
Coordinate collaboration across clinical, operational, financial, and IT teams.
Present findings, recommendations, and strategic insights to senior leadership and executive stakeholders.
Epic Data Integration & Optimization
Oversee the use of Epic tools such as Reporting Workbench, Slicer Dicer, Clarity extracts, and Caboodle.
Provide guidance on Epic data model interpretation, data availability, and reporting feasibility.
Collaborate with Epic application teams to align workflows, documentation, and reporting needs.
Support the development of Epic based self-service analytics capabilities.
Committee Oversight & Governance
Provide leadership, facilitation, or subject matter expertise for key committees, such as:
Data Governance Committee
Epic Reporting or Data Stewardship Committees
Analytics Steering Committee
Quality, Performance Measurement, or Strategic Planning Committees
Shape committee agendas, guide decision-making, and ensure alignment with organizational strategy.
Maintain documentation, transparency, and follow-through on committee actions.
Stakeholder Engagement & Communication
Act as a trusted advisor to leaders across the organization, helping them interpret and apply Epic derived insights.
Translate complex analytical concepts into clear, actionable recommendations.
Promote data literacy and support adoption of analytics tools and governance practices.
Qualifications:Required
- Bachelor's degree in Data Analytics, Statistics, Computer Science, Health Informatics, Business, or related field.
- 5+ years of experience in analytics, business intelligence, or project management roles.
- Demonstrated success leading complex, cross functional analytics projects.
- Strong communication, facilitation, and stakeholder management skills.
Preferred
- Epic certifications or proficiencies (e.g., Clarity Data Model, Cogito, Caboodle).
- Experience in healthcare quality, clinical operations, population health, or revenue cycle analytics.
- Experience leading or supporting governance bodies or enterprise committees.
- Familiarity with enterprise data governance frameworks.
Competencies Skills:
Key Competencies
- Strategic thinking
- Advanced analytics expertise
- Epic data literacy
- Project and program leadership
- Data storytelling
- Governance and facilitation
- Cross functional collaboration
- Change management
Education:
- Bachelor's degree in Data Analytics, Statistics, Computer Science, Health Informatics, Business, or related field.
Become part of the Beebe team - an inclusive team positioned in a vibrant, coastal community. Enjoy a fulfilling career as you support the health of our patients and a team focused on excellence.
Overview:The Data Network Manager serves as a senior analytics leader and subject matter expert responsible for driving enterprise level analytics strategy, leading complex cross functional initiatives, and shaping data governance across the organization. This role blends advanced analytical expertise, project leadership, and organizational governance, including oversight of multiple committees that influence data standards, performance measurement, and strategic planning.
A core component of this role is leveraging Epic data assets including Clarity, Caboodle, and Epic reporting tools to deliver high impact insights that support clinical, operational, and strategic decision making.
Responsibilities: Enterprise Analytics Leadership
Serve as a senior expert and thought leader in data analytics, Epic data structures, and enterprise reporting.
Guide the development of advanced analytics solutions, dashboards, and models using Epic and nonepic data sources.
Establish best practices for data quality, governance, and analytical methodologies.
Partner with IT, Epic analysts, and data engineering teams to optimize data pipelines and reporting architecture.
Strategic Project Leadership
Lead high visibility, cross functional analytics projects that support organizational priorities.
Develop project frameworks, timelines, and resource plans; monitor progress and mitigate risks.
Coordinate collaboration across clinical, operational, financial, and IT teams.
Present findings, recommendations, and strategic insights to senior leadership and executive stakeholders.
Epic Data Integration & Optimization
Oversee the use of Epic tools such as Reporting Workbench, Slicer Dicer, Clarity extracts, and Caboodle.
Provide guidance on Epic data model interpretation, data availability, and reporting feasibility.
Collaborate with Epic application teams to align workflows, documentation, and reporting needs.
Support the development of Epic based self-service analytics capabilities.
Committee Oversight & Governance
Provide leadership, facilitation, or subject matter expertise for key committees, such as:
Data Governance Committee
Epic Reporting or Data Stewardship Committees
Analytics Steering Committee
Quality, Performance Measurement, or Strategic Planning Committees
Shape committee agendas, guide decision-making, and ensure alignment with organizational strategy.
Maintain documentation, transparency, and follow-through on committee actions.
Stakeholder Engagement & Communication
Act as a trusted advisor to leaders across the organization, helping them interpret and apply Epic derived insights.
Translate complex analytical concepts into clear, actionable recommendations.
Promote data literacy and support adoption of analytics tools and governance practices.
Qualifications:Required
- Bachelor's degree in Data Analytics, Statistics, Computer Science, Health Informatics, Business, or related field.
- 5+ years of experience in analytics, business intelligence, or project management roles.
- Demonstrated success leading complex, cross functional analytics projects.
- Strong communication, facilitation, and stakeholder management skills.
Preferred
- Epic certifications or proficiencies (e.g., Clarity Data Model, Cogito, Caboodle).
- Experience in healthcare quality, clinical operations, population health, or revenue cycle analytics.
- Experience leading or supporting governance bodies or enterprise committees.
- Familiarity with enterprise data governance frameworks.
Competencies Skills:
Key Competencies
- Strategic thinking
- Advanced analytics expertise
- Epic data literacy
- Project and program leadership
- Data storytelling
- Governance and facilitation
- Cross functional collaboration
- Change management
Education:
- Bachelor's degree in Data Analytics, Statistics, Computer Science, Health Informatics, Business, or related field.
See All 6 Mid Level Network Support Engineer Jobs
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Find JobsMid Level Network Support Engineer Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Insurance
- Aerospace & Defense
- Healthcare & Medical Services
- Consulting & Professional Services
Mid Level Network Support Engineer Jobs: Frequently Asked Questions
How do I get a mid level network support engineer job?
Position your experience around ownership, not just task completion. Highlight projects where you diagnosed and resolved issues independently, managed network configurations, or led a support effort without close supervision. Certifications like CCNA or CompTIA Network+ strengthen your application, but concrete examples of reducing downtime or improving reliability carry more weight with hiring managers at this level.
Which companies hire mid level network support engineers?
Companies hiring mid level network support engineers right now include Meta, Skydio, and Fishbeck, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a wide range of employers, including managed service providers, enterprise technology teams, healthcare systems, and financial institutions that maintain complex internal network infrastructure.
Are there remote mid level network support engineer jobs?
Yes, though many roles require at least some on-site presence for hardware-related work. About 100% of mid level network support engineer openings are remote or hybrid as of November 2026, with fully remote positions more common at companies that have centralized network operations centers or use heavily cloud-managed infrastructure.
How do I move up to a mid level network support engineer role?
Moving from entry level to mid level requires building depth in a specific area, such as routing and switching, network security, or cloud networking, while taking on progressively larger projects. Engineers who document their impact, pursue certifications like CCNA or CompTIA Network+, and demonstrate they can resolve complex issues without escalating most tickets make the transition fastest.
Which industries hire the most mid level network support engineers?
Mid Level network support engineer roles concentrate in Technology & Software, Insurance, and Aerospace & Defense, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring because they operate large, distributed networks that require experienced engineers to maintain uptime, enforce security policies, and support continued infrastructure growth.