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Data Center Engineer Jobs in Hawaii (NOW HIRING)

Data Engineer

Honolulu, HI · On-site

$113K - $136K/yr

As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our Advana data infrastructure, pipelines and systems. Proficiency in ETL, Databricks, Python, Spark, Scala ...

New

Data Engineer

Aiea, HI · On-site

$77K - $176K/yr

R0240138 Data Engineer The Opportunity: Architect, deploy, and operate data security solutions across various DoW clients in the Indo-Pacific. Employ new architectures to meet client requirements ...

Data Engineer

Honolulu, HI · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Booz Allen is seeking a Data Engineer or Data Scientist to support mission-critical projects leveraging Palantir Foundry. In this role, you will work closely with ...

Data Engineer

Honolulu, HI · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Booz Allen is seeking a Data Engineer or Data Scientist to support mission-critical projects leveraging Palantir Foundry. In this role, you will work closely with ...

Data Engineer

Honolulu, HI · On-site +1

$77K - $176K/yr

Share Data Engineer The Opportunity: Booz Allen is seeking a Data Engineer or Data Scientist to support mission-critical projects leveraging Palantir Foundry. In this role, you will work closely with ...

Data Warehouse Engineer LOCATION Honolulu, HI 96815 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are looking for a detail-oriented and ...

Data Engineer II

Honolulu, HI · On-site

$110K - $132K/yr

Servco's Data Engineers play a crucial role in ensuring the organization has the data it needs to make informed business decisions. This includes acquiring data from a variety of sources-internal ...

Data Engineer II

Honolulu, HI · On-site

$113K - $135K/yr

Servco's Data Engineers play a crucial role in ensuring the organization has the data it needs to make informed business decisions. This includes acquiring data from a variety of sources-internal ...

Data Engineer

Pearl City, HI

$118K - $142K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Waipahu, HI · On-site

$114K - $137K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Honolulu, HI · On-site

$113K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Mililani, HI · On-site

$110K - $133K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Pearl City, HI · On-site

$118K - $142K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Mililani, HI

$110K - $133K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Waipahu, HI

$114K - $137K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Honolulu, HI

$113K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Foundry Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ...

Showing results 41-60

Data Center Engineer information

See Hawaii salary details

$53.5K

$153.2K

$204.7K

How much do data center engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data center engineer in Hawaii is $153,206.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,300.00 and $203,600.00 per year, depending on experience, location, and employer.

What does a data center engineer do?

A Data Center Engineer is responsible for designing, maintaining, and troubleshooting the hardware and infrastructure of data centers. Their work involves installing servers, managing network systems, ensuring optimal cooling and power, and monitoring system performance. They play a critical role in keeping data centers operational, secure, and efficient, supporting the IT needs of organizations. Data Center Engineers often collaborate with IT, security, and facilities teams to ensure 24/7 uptime and to plan for future growth.

What is the difference between Data Center Engineer vs Network Engineer?

AspectData Center EngineerNetwork Engineer
CertificationsCompTIA Server+, Cisco CCNA, Data Center-specific certificationsCCNA, CCNP, Cisco certifications
Work EnvironmentData centers, server rooms, hardware-focusedNetwork infrastructure, routing, switching environments
ResponsibilitiesDesign, maintain, and troubleshoot data center hardware and infrastructureDesign, implement, and manage network systems and connectivity

While both roles require networking knowledge and certifications, Data Center Engineers focus on physical infrastructure, servers, and hardware within data centers. Network Engineers primarily work on network design, configuration, and troubleshooting of network systems. Understanding the hardware environment is key for Data Center Engineers, whereas Network Engineers concentrate on network connectivity and protocols.

What are some common challenges faced by data center engineers, and how can they be managed on the job?

Data Center Engineers often encounter challenges such as maintaining uptime during hardware failures, managing rapid scaling demands, and ensuring strong physical and cybersecurity. These issues require quick troubleshooting skills, familiarity with redundancy protocols, and proactive monitoring of systems. Effective communication and collaboration with IT, facilities, and security teams are also crucial to address incidents efficiently and minimize downtime. Staying updated with evolving technologies and best practices helps engineers anticipate and mitigate potential risks.

How much money does a data center engineer make?

A data center engineer's salary varies by experience, location, and certifications, but typically ranges from $70,000 to $120,000 annually. Entry-level positions may start lower, while experienced engineers with specialized skills or certifications can earn higher salaries.

What skills do you need for a data center engineer?

To thrive as a Data Center Engineer, you need a solid background in IT infrastructure, networking, and hardware maintenance, often supported by a degree in computer science or a related field. Familiarity with server management tools, virtualization platforms (like VMware), and certifications such as CompTIA Server+ or Cisco CCNA are typically required. Strong problem-solving abilities, attention to detail, and effective communication help you excel in this role. These skills ensure reliable data center operations, minimize downtime, and support the critical IT needs of the organization.

What is a data center engineer?

A data center engineer’s duties are to design, implement, and monitor information technology systems at a data center. A data center engineer must be familiar with a variety of IT hardware, such as servers, cables, power systems, and cooling equipment, needed to maintain the physical safety of an IT facility, which includes fire safety. Their job is to set up the infrastructure needed to connect servers and hard drives together, and be familiar with the capacity of the technology. After setting up IT systems, they are responsible for system monitoring, maintenance, and troubleshooting.

What are popular job titles related to Data Center Engineer jobs in Hawaii? For Data Center Engineer jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Data Center Engineer jobs in Hawaii look for? The top searched job categories for Data Center Engineer jobs in Hawaii are:
Infographic showing various Data Center Engineer job openings in Hawaii as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $153,206 per year, or $73.7 per hour.

Data Engineer

BigBear.ai

Honolulu, HI • On-site

$113K - $136K/yr

Other

Posted yesterday

New


Job description

Residency
All applicants must currently reside in the United States
Overview
BigBear.ai is seeking a Data Engineer to support a program in Honolulu, HI. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our Advana data infrastructure, pipelines and systems. Proficiency in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks is crucial for ensuring efficient data ingest, processing and analysis. You will develop and manage ETL processes and data pipelines across various government platforms, working with a wide range of data types.
This is an ideal opportunity to be part of one of the fastest growing AI/ML companies in the industry. At BigBear.ai, we're in this business together. We own it, we make it thrive, and we enjoy the challenges of our work. We know that our employees play the largest role in our continual success. That is why we foster an environment of growth and development, with an emphasis on opportunity, recognition, and work-life balance. We give the same high level of commitment to our employees that we give to our clients. If BigBear.ai sounds like the place where you want to be, we'd enjoy speaking with you.
What you will do
  • Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
  • Create and optimize data pipelines from scratch, ensuring scalability, reliability, and high-performance processing.
  • Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets.
  • Leverage big data technologies to efficiently process and analyze large datasets, particularly those encountered in a federal agency.
  • Troubleshoot data-related problems and provide innovative solutions to address complex data challenges.
  • Implement and enforce data governance policies and procedures, ensuring compliance with regulatory requirements and industry best practices.
  • Work closely with cross-functional teams to understand data requirements and design optimal data models and architectures.
  • Collaborate with data scientists, analysts, and stakeholders to provide timely and accurate data insights and support decision-making processes.
  • Maintain documentation for software applications, workflows, and processes.
  • Stay updated with emerging trends and advancements in data engineering and recommend suitable tools and technologies for continuous improvement.

What you need to have
  • Bachelor's Degree and 0 to 2 years of experience; 6 to 8 years with no degree
  • Must maintain an active TS/SCI clearance
  • 1+ years of Python experience including developing, running, packaging, and testing Python scripts
  • Experience with distributed version control systems (VCS)
  • Experience with the entire ETL/ELT pipeline, including data ingestion, data normalization, data preparation, and database design
  • Experience with conducting exploratory data analysis to communicate qualitative and quantitative findings to analysts
  • Experience processing and fusing structured and unstructured data
  • Experience with data engineering projects supporting data science and AI/ML workloads
  • Experience creating solutions within a collaborative, cross-functional team environment in team sprint cycles

What we'd like you to have
  • Experience with using Palantir products for data manipulation, correlation, and visualization
  • Experience with AWS or other cloud computing services
  • Experience with Kafka and NiFi development
  • Experience with containerization tools, including Docker and Kubernetes
  • TS/SCI with Counterintelligence Polygraph

Pay transparency
Please note the targeted compensation range is provided as an estimate, and any actual compensation offer may vary depending on the needs of the company, or an applicant's skillset, competencies, experience, education, certifications, location, or other factors. The estimated range does not include the value of any benefits offered.
About BigBear.ai
BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai's predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.
BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.