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Remote Data Center Controls Engineer Jobs in Milwaukee, WI

Mgic Investment

Senior Data Engineer

Milwaukee, WI · Remote

$104K - $141K/yr

Implement observability and data-quality controls across ingestion, orchestration, and ... Fitness Center and classes (corporate office) Paid-time off and paid company holidays Business ...

Rehlko, LLC

Project Manager

Milwaukee, WI · On-site +1

Liaise with data center clients and developers to interpret project goals, resolve issues, and ... Remote work opportunities are also unavailable for these locations. The Salary range for this ...

SysLogic, Inc.

Senior Data Engineer

Brookfield, WI · Remote

$100K - $136K/yr

The Senior Data Engineer will design and build tools and processes that help clients derive ... This remote role is only open to individuals that reside in one of the following states at the time ...

SysLogic, Inc.

Senior Data Engineer

Brookfield, WI · On-site +1

$100K - $136K/yr

The Senior Data Engineer will design and build tools and processes that help clients derive ... This remote role is only open to individuals that reside in one of the following states at the time ...

SmartIPlace

DevOps Engineer[remote]

Milwaukee, WI · Remote

$54 - $74/hr

... Engineer Workplace: Remote in the US Start Date: 5/4 Duration: 4 months Location: Milwaukee, WI ... Data Platform and Big Data: SQL Server, Azure SQL DB, HDInsight/Hadoop, Machine Learning, Cosmos DB

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All JobsData Center Controls Engineer JobsRemote Data Center Controls Engineer JobsRemote Data Center Controls Engineer Jobs in Milwaukee, WI

Remote Data Center Controls Engineer information

See Milwaukee, WI salary details

$50.7K

$145.3K

$194.1K

How much do remote data center controls engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote data center controls engineer in Milwaukee, WI is $145,285.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,800.00 and $193,100.00 per year, depending on experience, location, and employer.

What does a remote data center controls engineer do?

A Remote Data Center Controls Engineer is responsible for designing, monitoring, and managing the control systems that regulate environmental conditions, power usage, and security within data centers. They often work remotely to ensure that systems like HVAC, fire suppression, and electrical controls are operating efficiently and reliably. Their duties include troubleshooting issues, optimizing performance, and coordinating with onsite staff or vendors as needed. The role requires strong technical skills in automation and control systems, as well as the ability to analyze system data and respond to alerts or failures quickly.

What are the key skills and qualifications needed to thrive as a remote data center controls engineer, and why are they important?

To excel as a Remote Data Center Controls Engineer, you need expertise in HVAC systems, building automation, and controls engineering, usually backed by a degree in engineering or a related field. Familiarity with SCADA systems, PLC programming, and certifications such as LEED or BMS are commonly required. Strong problem-solving skills, attention to detail, and effective remote communication set top performers apart. These abilities are crucial for ensuring reliable data center operations, energy efficiency, and prompt issue resolution, even when working off-site.

What is the difference between Remote Data Center Controls Engineer vs Data Center Technician?

AspectRemote Data Center Controls EngineerData Center Technician
CredentialsTypically requires engineering degree, controls or automation certificationsUsually requires technical diploma or certifications in networking or hardware
Work EnvironmentDesign, monitor, and optimize control systems remotely in data centersOn-site hardware installation, troubleshooting, and maintenance
Industry UsageUsed by companies managing large-scale data centers with automation systemsCommon in data centers for routine hardware and network support

The Remote Data Center Controls Engineer focuses on designing and managing control systems remotely, ensuring data center automation and efficiency. In contrast, Data Center Technicians handle on-site hardware maintenance and troubleshooting. Both roles are essential but differ in responsibilities, credentials, and work environment.

What are popular job titles related to Remote Data Center Controls Engineer jobs in Milwaukee, WI?

For Remote Data Center Controls Engineer jobs in Milwaukee, WI, the most frequently searched job titles are:

What job categories do people searching Remote Data Center Controls Engineer jobs in Milwaukee, WI look for?

The top searched job categories for Remote Data Center Controls Engineer jobs in Milwaukee, WI are:

Remote Data Center Controls Engineer jobs near you
Infographic showing various Remote Data Center Controls Engineer job openings in Milwaukee, WI as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $145,285 per year, or $69.8 per hour.

Senior Data Engineer

Mgic Investment

Milwaukee, WI • Remote

$104K - $141K/yr

Full-time

Retirement, PTO

Posted 17 days ago

Job description

At MGIC, we take pride in knowing that what we do matters. As pioneers of private mortgage insurance, we help people achieve homeownership sooner - making affordable low-down-payment mortgages a reality. Our efforts have helped more than 14 million people get the keys to their own homes sooner than otherwise possible. Every position is critical to our company's success - from the analytical to the technical; from the innovative to the operational. The customer-facing roles to behind-the-scenes experts, we're all part of one team. We're an organization with a national footprint that's large enough to never lack for a new challenge, but small enough for an opportunity to make an impact and influence decisions. Come make a difference at MGIC.

Summary:

We're building great things at MGIC, and we are excited to be offering this position. This is an opportunityhelpuscreate the next generation data platform. Becoming Data-driven is at the core of our transformation - join us and help us build the future!

We arelooking for aSeniorData Engineerwhoispassionate aboutbuilding trusted, scalabledataproductswithmodern cloudtechnologies. As part of theData & Analytics team, you will design and deliver a Snowflake-centered data platform, automate source-to-warehouse ingestion with Fivetran, develop analytics-ready transformations withdbt, and orchestrate production workflows with Astronomer and Apache Airflow.

Responsibilities:

  • Define and evolve data integration frameworks, engineering standards, reusable patterns, and governance practices for a modern cloud data platform.

  • Design scalable Snowflake data architectures, including databases, schemas, tables, views, virtual warehouses, role-based access, and approaches for performance and cost optimization.

  • Build and operate reliable batch and incremental ingestion pipelines using Fivetran connectors, including source configuration, schema-change handling, sync monitoring, troubleshooting, and custom connector patterns when needed.

  • Develop modular, maintainabledbtmodels in Snowflake; implement source definitions, tests, documentation, lineage, incremental strategies, and reusable macros.

  • Author, schedule, deploy, and monitor data workflows with Apache Airflow on Astronomer, applying effective dependency management, retry, alerting, backfill, and failure-recovery practices.

  • Implement observability and data-quality controls across ingestion, orchestration, and transformation layers so production data is accurate, timely, and available to stakeholders.

  • Partner with business, analytics, architecture, security, and engineering teams to translate requirements into durable data products and a long-term platform roadmap.

  • Deliver changes through Git-based development, automated testing, code review, and CI/CD practices acrossdbtand Airflow projects.

  • Troubleshoot data and pipeline issues across source systems, Fivetran, Astronomer,dbt, Snowflake, and downstream consumption layers.

  • Evaluate Cortex Code capabilities and lead the development of a practical adoption plan for incorporating AI-assisted engineering into solution delivery processes, including prioritized use cases, governance and security guardrails, developer workflows, enablement, success measures, and a phased rollout.

  • Lead design and code reviews, share engineering best practices, and mentor junior data engineers.

Required skills:

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or relevant experience.

  • 5 or more years of data engineering experience, including cloud data warehousing, dimensional data modeling, ETL/ELT, analytics enablement, and production pipeline support.

  • Hands-on Snowflake experience, including advanced SQL, data loading and transformation, virtual warehouse sizing, query optimization, access controls, and cost-conscious platform operation.

  • Experience building production-gradedbtprojects with modular models, tests, documentation, source freshness, incremental models, macros, packages, and CI/CD.

  • Experience developing and operating Apache Airflow DAGs; familiarity with Astronomer or another managed Airflow platform, including deployment, monitoring, alerting, and troubleshooting.

  • Experience implementing and supporting managed ELT with Fivetran, including connector setup, incremental synchronization, schema evolution, monitoring, and issue resolution.

  • Strong Python and SQL skills; experience with APIs, data formats, shell scripting, and Git-based development workflows.

  • Experience with AWS services such as S3, Lambda, IAM, and related cloud data services, plus Agile delivery and end-to-end automation practices.

  • Knowledge of Cortex Code and AI-assisted software development practices, ordemonstratedwillingness and ability to build a responsible adoption plan that integrates the technology into solution delivery processes while maintaining security, governance, code-review, testing, and change-management standards.

  • Strong communication, problem-solving, and collaboration skills, with the ability to influence technical decisions and mentor other engineers.

Pay Range:

$105,590.00 - $179,510.00

This range aligns with current market data and reflects our commitment to competitive and equitable compensation. Salary offers are based on factors such as experience, skills, education, and training. The range may vary in certain locations to reflect local market conditions. It is not typical to initiate pay at the top of the range to account for internal equity and allow for future and continued salary growth

Enjoy these benefits from day one:
Competitive Salary & pay-for-performance bonus
Financial Benefits (401k with company match, profit sharing, HSA, wellness program)
On-site Fitness Center and classes (corporate office)
Paid-time off and paid company holidays
Business casual dress

For additional information about MGIC and to apply, please visit our website at www.mgic.com/careers.

Note to all recruitment agencies:
MGIC does not accept unsolicited agency resumes. Any unsolicited resumes sent to MGIC, directly or indirectly, will be considered MGIC property. MGIC is not responsible for any agency fees associated with unsolicited resumes. A recruiting agency must have a valid, written and fully executed agency agreement to assist with a requisition.

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