Mid Level Senior Data Center Engineer Jobs
Mid level senior data center engineer jobs go to engineers ready to own infrastructure projects end to end, make independent technical decisions, and guide junior staff without constant oversight. Openings are concentrated across Technology & Software, Consulting & Professional Services, and Construction & Real Estate, with Turner & Townsend Pty Limited, Oracle, and Amazon actively hiring at this level now.
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Showing 5 of 71+ Mid Level Senior Data Center Engineer jobs
DESCRIPTION
This is a systems engineering role. You will build the platform infrastructure — data pipelines, aggregation engines, decision-framing logic, APIs, visualization layers, and automated briefing systems — that turns raw operational data into structured executive decisions. Where analytical models exist, you will integrate and serve them; your primary focus is building reliable, scalable, well-architected production systems that deliver the right decisions to the right leaders at the right time.
Key job responsibilities
### Build & Own the Decision Intelligence Platform
- Design and build the end-to-end platform
- Own the system architecture that surfaces structured decisions to executives
- Build metric decomposition pipelines
- Implement trend computation, projected outcomes, scenario comparison, and threshold-based alerting at multiple aggregation levels
### Data Pipeline & Platform Infrastructure
- Ingest and normalize data from multiple upstream operational systems
- Build robust ETL pipelines with defined freshness SLAs, data quality checks, and observability
- Implement caching, pre-computation, and materialized views for sub-second executive dashboard response times
### Integration & Serving
- Integrate outputs from science teams into the platform as first-class data sources
- Build the serving layer that presents analytical outputs alongside operational metrics in a unified executive experience
- Implement automated narrative generation (template-based or LLM-assisted) that produces metric commentary for executive reviews
- Design APIs that support both the web portal and automated report generation
### Web Application & Visualization
- Build interactive executive dashboards with fleet-wide views, multi-level drill-down, and scenario comparison
- Implement data visualizations optimized for non-technical senior leaders (clarity over complexity)
- Design the portal to support multiple view modes: summary cards, trend charts, tabular comparisons, commentary threads
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience
- 5+ years of systems development engineering, software engineering, or data engineering
- 3+ years building data pipelines, ETL systems, or analytics infrastructure (Python, SQL, Spark, or equivalent)
- 3+ years working with cloud services (AWS preferred: Lambda, DynamoDB/RDS, S3, Redshift/Athena, Step Functions, ECS)
- Experience building and operating production data platforms serving analytical outputs to Experience with at least one web/dashboard framework (Streamlit, FastAPI, Flask, or equivalent)
- Experience designing data models for multi-level aggregation and time-series data
PREFERRED QUALIFICATIONS
- Experience with distributed systems at scale
- Experience building decision support systems or intelligence platforms that serve executive/leadership users
- Experience integrating ML model outputs into production systems (model serving, feature stores, prediction APIs)
- Familiarity with automated report or document generation (templated briefs, PDF/HTML generation)
- Experience with data visualization libraries (Plotly, D3, Altair) or BI tools (QuickSight, Tableau)
- Experience building systems with time-series computation (rolling averages, trend detection, WoW comparison)
- Background in infrastructure operations, capacity planning, or supply chain environments
- Experience with LLM integration for text generation or summarization (prompt engineering, API integration)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 151,200.00 - 204,600.00 USD annually
DESCRIPTION
This is a systems engineering role. You will build the platform infrastructure — data pipelines, aggregation engines, decision-framing logic, APIs, visualization layers, and automated briefing systems — that turns raw operational data into structured executive decisions. Where analytical models exist, you will integrate and serve them; your primary focus is building reliable, scalable, well-architected production systems that deliver the right decisions to the right leaders at the right time.
Key job responsibilities
### Build & Own the Decision Intelligence Platform
- Design and build the end-to-end platform
- Own the system architecture that surfaces structured decisions to executives
- Build metric decomposition pipelines
- Implement trend computation, projected outcomes, scenario comparison, and threshold-based alerting at multiple aggregation levels
### Data Pipeline & Platform Infrastructure
- Ingest and normalize data from multiple upstream operational systems
- Build robust ETL pipelines with defined freshness SLAs, data quality checks, and observability
- Implement caching, pre-computation, and materialized views for sub-second executive dashboard response times
### Integration & Serving
- Integrate outputs from science teams into the platform as first-class data sources
- Build the serving layer that presents analytical outputs alongside operational metrics in a unified executive experience
- Implement automated narrative generation (template-based or LLM-assisted) that produces metric commentary for executive reviews
- Design APIs that support both the web portal and automated report generation
### Web Application & Visualization
- Build interactive executive dashboards with fleet-wide views, multi-level drill-down, and scenario comparison
- Implement data visualizations optimized for non-technical senior leaders (clarity over complexity)
- Design the portal to support multiple view modes: summary cards, trend charts, tabular comparisons, commentary threads
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience
- 5+ years of systems development engineering, software engineering, or data engineering
- 3+ years building data pipelines, ETL systems, or analytics infrastructure (Python, SQL, Spark, or equivalent)
- 3+ years working with cloud services (AWS preferred: Lambda, DynamoDB/RDS, S3, Redshift/Athena, Step Functions, ECS)
- Experience building and operating production data platforms serving analytical outputs to Experience with at least one web/dashboard framework (Streamlit, FastAPI, Flask, or equivalent)
- Experience designing data models for multi-level aggregation and time-series data
PREFERRED QUALIFICATIONS
- Experience with distributed systems at scale
- Experience building decision support systems or intelligence platforms that serve executive/leadership users
- Experience integrating ML model outputs into production systems (model serving, feature stores, prediction APIs)
- Familiarity with automated report or document generation (templated briefs, PDF/HTML generation)
- Experience with data visualization libraries (Plotly, D3, Altair) or BI tools (QuickSight, Tableau)
- Experience building systems with time-series computation (rolling averages, trend detection, WoW comparison)
- Background in infrastructure operations, capacity planning, or supply chain environments
- Experience with LLM integration for text generation or summarization (prompt engineering, API integration)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 151,200.00 - 204,600.00 USD annually
See All 71 Mid Level Senior Data Center Engineer Jobs
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Find JobsMid Level Senior Data Center Engineer Job Market
Who's Hiring
- Turner & Townsend Pty Limited16
- Oracle11
- Amazon4
- Mortenson Construction3
- ABB2
Top Industries Hiring
- Technology & Software26
- Consulting & Professional Services20
- Construction & Real Estate6
- Retail4
- Manufacturing4
Mid Level Senior Data Center Engineer Jobs: Frequently Asked Questions
How do I get a mid level senior data center engineer job?
Position yourself around ownership, not just execution. Highlight projects where you made independent decisions on power, cooling, cabling, or hardware refresh cycles. Recruiters at this level want to see that you managed a deployment or led a remediation without step-by-step direction. Certifications like DCCA or vendor credentials from Cisco or Juniper sharpen your profile considerably.
Which companies hire mid level senior data center engineers?
Companies hiring mid level senior data center engineers right now include Turner & Townsend Pty Limited, Oracle, and Amazon, based on current listings on Migrate Mate as of June 2026. Demand at this level tends to come from colocation providers, cloud operators, enterprise IT organizations, and managed service companies running large physical infrastructure footprints.
Are there remote mid level senior data center engineer jobs?
Yes, though the role is predominantly on-site given the hands-on nature of data center work. About 20% of mid level senior data center engineer openings are remote or hybrid as of June 2026, and those positions typically focus on design, documentation, vendor management, or monitoring rather than physical racking and stacking.
How do I move up to a mid level senior data center engineer role?
Build depth in a specific discipline, such as structured cabling, power distribution, DCIM systems, or network infrastructure, and then demonstrate ownership of a project with real stakes. Mid level standing comes from a pattern of measurable impact: a completed migration, a capacity expansion you scoped, or a process you improved. Mentoring a junior colleague and documenting your own work also signals readiness.
Which industries hire the most mid level senior data center engineers?
Mid Level senior data center engineer roles concentrate in Technology & Software, Consulting & Professional Services, and Construction & Real Estate, based on current listings on Migrate Mate as of June 2026. Those sectors drive demand because they operate large, highly available infrastructure environments where experienced engineers who can take ownership of complex deployments add immediate value.