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Data Engineering Jobs in Hawaii (NOW HIRING)

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

Honolulu, HI · On-site

$77K - $176K/yr

You Have: * 1+ years of experience with data engineering, application building, or software development * Experience with Git-based code repositories and CI/CD workflows * Ability to work in fast ...

You Have: * 1+ years of experience with data engineering, application building, or software development * Experience with Git-based code repositories and CI/CD workflows * Ability to work in fast ...

Data Engineer

Honolulu, HI · On-site

$77K - $176K/yr

You Have: * 1+ years of experience with data engineering, application building, or sof tware development * Experience with Git-based code repositories and CI / CD workflows * Ability to work in fast ...

Data Engineer

Honolulu, HI · On-site +1

$77K - $176K/yr

You Have: * 1+ years of experience with data engineering, application building, or software development * Experience with Git-based code repositories and CI/CD workflows * Ability to work in fast ...

Data Conditioning Systems Engineer

Honolulu, HI · On-site

$113K - $135K/yr

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Data Engineering, Information Systems, Electrical Engineering, Software Engineering, Applied Mathematics, Statistics ...

HI · Hybrid

$122K - $147K/yr

Document analysis design, data engineering processes, and maintain comprehensive documentation. Required Qualifications: * Must have active TOP SECRET clearance with SCI eligibility. * Experience ...

HI · On-site

Document analysis design, data engineering processes, and maintain comprehensive documentation. Required Qualifications: * Must have active TOP SECRET clearance with SCI eligibility. * Experience ...

Data Engineer

Honolulu, HI · On-site

$113K - $135K/yr

They are seeking an experienced Data Engineer to help clients organize and analyze data to drive ... guiding engineering teams through full lifecycle implementation • Experience communicating ...

Big Data Engineer

Honolulu, HI · On-site

$55 - $73/hr

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Data Science, Information Systems, Software Engineering, Electrical Engineering, Mathematics, Statistics, Computational ...

Data Engineer

Honolulu, HI · On-site

$113K - $135K/yr

KBR's work is at the forefront of engineering, logistics, operations, science, program management, mission IT and cybersecurity solutions. * Collaborative Environment: Be part of a dynamic team that ...

Data Engineer

Honolulu, HI

$113K - $135K/yr

KBR's work is at the forefront of engineering, logistics, operations, science, program management, mission IT and cybersecurity solutions. * Collaborative Environment: Be part of a dynamic team that ...

Data Scientist

Aiea, HI · On-site

$141K - $236K/yr

In this role you will support cutting-edge analytics, machine learning, and data engineering techniques to deliver strategic and tactical insights that enhance readiness, agility, and operational ...

Responsibilities : • Enables advanced data analytics, data engineering, data mining, exploratory data analysis, predictive analysis, and statistical analysis to support the full spectrum of JIOC ...

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Showing results 1-20

Data Engineering information

See Hawaii salary details

$47.8K

$171.4K

$253K

How much do data engineering jobs pay per year?

As of Jul 19, 2026, the average yearly pay for data engineering in Hawaii is $171,447.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,700.00 and $176,600.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and optimized for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What engineers make 500,000?

Senior data engineers with extensive experience, specialized skills in cloud platforms, and advanced knowledge of data architecture can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically require skills in SQL, cloud platforms, and data pipeline tools like Apache Spark or Kafka, making their expertise valuable across many industries. The role is expected to remain strong as organizations continue to prioritize data infrastructure and analytics capabilities.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Hawaii? The most popular types of Data Engineering jobs in Hawaii are:
What are popular job titles related to Data Engineering jobs in Hawaii? For Data Engineering jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Data Engineering jobs in Hawaii look for? The top searched job categories for Data Engineering jobs in Hawaii are:

Data Engineer

Bespoke Labs

Mililani, HI • On-site

$110K - $133K/yr

Full-time

Posted 2 days ago


Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

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)

Familiarity with at least one RL framework (Gymnasium / OpenAI Gym, dm_env, or equivalent) and working knowledge of RL environment structure — observation/action spaces, reward signals, episode logic

Experience with data versioning and experiment tracking (DVC, MLflow, W&B, or similar)

Comfortable with Docker and cloud infrastructure (AWS or GCP)

Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines