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Remote Data Center Controls Engineer Jobs in Raleigh, NC

A.C. Coy

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · On-site +1

$111.30K - $133.70K/yr

... Data Engineer to support our US Government client with data ingestion, data deduplication and data tagging for migration of a large-scale data environment into Databricks. * This remote contract-to ...

A.C. Coy

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · Remote

$111.30K - $133.70K/yr

... Data Engineer to support our US Government client with data ingestion, data deduplication and data tagging for migration of a large-scale data environment into Databricks. * This remote contract-to ...

Edged

Electrical Engineer

Raleigh, NC · On-site +1

... world's data center infrastructure. We are seeking a Electrical Engineer to support the design ... United States (Remote) Raleigh, NC Contact: recruiting@endeavourii.com #J-18808-Ljbffr

SHI

Presales Solutions Engineer - Network

Durham, NC · On-site +1

This position is remote in the Raleigh, NC area with a hybrid setup as determined by SHI management ... Collaborate with account teams to evaluate and understand customer data center environments and ...

VAST Data

Technical Account Manager - USA

Raleigh, NC · On-site +1

... data center, edge, and cloud. Our success has been built through intense innovation, a customer ... You will work with engineering to submit and advocate for bugs and feature requests on behalf of ...

ABB

Key Account Manager - Data Centers

Cary, NC · Remote

The work model for the role is : #LI-Remote in the United States. This role is contributing to the ... Bachelor's Degree in an Engineering Discipline highly preferred; will consider equivalent work ...

Daikin Applied

National Accounts Manager

Raleigh, NC · Remote

$100.80K - $166.70K/yr

Remote. Travel 25% - 30% What You Will Do Evaluate the data center market to determine applicable ... Minimum Qualifications Bachelor's Degree (Technical, Scientific, or Engineering) 5+ years of ...

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Remote Data Center Controls Engineer information

See Raleigh, NC salary details

$50.1K

$143.3K

$191.5K

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

As of May 30, 2026, the average yearly pay for remote data center controls engineer in Raleigh, NC is $143,344.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,700.00 and $190,500.00 per year, depending on experience, location, and employer.

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 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 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 Raleigh, NC? For Remote Data Center Controls Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Data Center Controls Engineer jobs in Raleigh, NC look for? The top searched job categories for Remote Data Center Controls Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Data Center Controls Engineer jobs? Cities near Raleigh, NC with the most Remote Data Center Controls Engineer job openings:
Remote Data Center Controls Engineer jobs near you
Sr. Data Engineer-Databricks SME (Remote)

Sr. Data Engineer-Databricks SME (Remote)

A.C. Coy

Raleigh, NC • On-site, Remote

$111.30K - $133.70K/yr

Other

Posted 22 days ago

Job description

Overview
  • Tier One Technologies is seeking a Data Engineer to support our US Government client with data ingestion, data deduplication and data tagging for migration of a large-scale data environment into Databricks.
  • This remote contract-to-hire position will be originated in Raleigh, NC.
  • SELECTED CANDIDATES WITHOUT REQUIRED CLEARANCE WILL BE SUBJECT TO A FEDERAL GOVERNMENT BACKGROUND INVESTIGATION TO RECEIVE IT.

Responsibilities
  • Design, develop, and maintain scalable data ingestion pipelines to onboard structured, semi-structured, and unstructured data from batch and streaming sources (e.g., APIs, databases, flat files, message queues) into the Azure/Databricks environment.
  • Implement de-duplication strategies across large-scale datasets using deterministic and probabilistic matching techniques to ensure data integrity and reduce redundancy within the Data Lake.
  • Develop and enforce data tagging frameworks to classify, label, and annotate datasets with appropriate metadata (e.g., sensitivity, source, domain, lineage) to support data governance, discoverability, and compliance requirements.
  • Assist with Operationalizing deployments and support of Cloud services for ETL Operations. This will include standardizing and automating processes and workflows, creating documentation/knowledge articles, and overall assisting Operations staff who have limited experience in Cloud.
  • Written and oral presentations to high-level CIO management on status of current efforts.
  • Possesses skills and experience related to business management, systems engineering, operations research, and management engineering. Typically has specialization in a particular technology or business application. Keeps abreast of technological developments and industry trends.
  • Assist with deployment, configuration, and management of Azure Cloud environment.
  • Assist with migration efforts of existing ETL jobs into Azure/Databricks cloud environment.
  • Ability to share optimization and efficiencies with the larger team and management.
  • Ability to automate solutions to repetitive problems/tasks.

Qualifications
  • A degree from an accredited College/University in the applicable field of services is required. If the degree is not in the applicable field, then four additional years of related experience is required.
  • 13+ years of overall IT experience.
  • 5+ years demonstrated experience designing and implementing data ingestion pipelines using tools such as Azure Data Factory, Apache Kafka, Apache NiFi, Spark Structured Streaming, or equivalent technologies.
  • 5+ years of experience applying de-duplication techniques at scale, including record linkage, fuzzy matching, and entity resolution across structured and unstructured datasets.
  • 5+ years of hands-on experience with data tagging and metadata management, including the use of tagging schemas, data catalogs (e.g., Azure Purview, Apache Atlas), and automated classification tools to support data governance and lineage tracking.
  • 5+ years of demonstrated experience working with unstructured data.
  • 2+ years of experience in using Databricks or other Spark-based platforms.
  • Fluency in at least one scripting language (Python, Perl, Ruby, or equivalent).
  • Experience with one or more of the following products and technologies: SAS, C++, Hadoop, SQL Database/Coding, Teradata, Oracle, Amazon S3, Apache Spark, Machine Learning, Natural Language Processing, and visualization tools such as Tableau, Strategy and QLIK is a plus.
  • Integration of Git in continuous deployment and experience with DevOps monitoring tools is a plus.
  • Familiarity with Cloud Operations support in Azure is a plus.
  • Excellent communication skills.
  • Must be able to obtain a Position of Public Trust Clearance.
  • Must be a US Citizen or have US Permanent Residence status (Green Card).
  • Must have resided in the US for the last 5 years and not have traveled outside the US for a combined total of 6 months or more in last 5 years.
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About A.C. Coy Company- Staffing & Consulting Services

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Since 1986, our mission is to be the “Always on Target” staffing and consulting provider by helping people and companies achieve their hiring goals. The team is dedicated to achieving these goals by attracting and retaining top talent that meets our clients’ culture and environment. We are fully engaged with our people and companies through ongoing communication to ensure expectations are met.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Canonsburg, PA, US

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