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Etl Developer Jobs in Hawaii (NOW HIRING)

Bespoke Labs

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 ...

Bespoke Labs

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 ...

Bespoke Labs

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 ...

Bespoke Labs

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 ...

Bespoke Labs

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 ...

Cymertek

Big Data Engineer

Honolulu, HI · On-site

$55 - $73/hr

... ETL Developer, Data Platform Engineer, Cloud Data Engineer, Database Engineer, Data Infrastructure Engineer, Analytics Engineer, etc. DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer ...

DatamanUSA, LLC

Project Manager

Honolulu, HI · On-site

... ETL, and legacy system integration experience *) Hands-on with SaaS or enterprise software deployment *) Understanding regulatory compliance: HIPAA, GDPR, or equivalent

BAE Systems

$82K - $140K/yr

Experience with FME, ESRI extract, transform, and load (ETL) tools, or similar software extensions ... engineering, system administration, or software configuration of industry standard geospatial ...

National Capitol Contracting (NCC)

Be Seen First

Senior Data Scientist

Honolulu, HI · On-site

Knowledge of data warehousing, ETL processes, and data governance principles. * Experience with programming languages such as Python or R for data analysis and automation. * Familiarity with AWS ...

Peraton

Senior Data Scientist/ Engineer

Honolulu, HI · On-site

$146K - $234K/yr

Design, build, and document data pipelines and ETL processes to ingest, normalize, and integrate ... Requires strong technical and computational skills - engineering, physics, mathematics, coupled ...

Peraton

Senior Data Scientist/ Engineer

Honolulu, HI · On-site

$146K - $234K/yr

Design, build, and document data pipelines and ETL processes to ingest, normalize, and integrate ... Requires strong technical and computational skills - engineering, physics, mathematics, coupled ...

Peraton

Senior Data Scientist/ Engineer

Honolulu, HI · On-site

$146K - $234K/yr

Design, build, and document data pipelines and ETL processes to ingest, normalize, and integrate ... Requires strong technical and computational skills - engineering, physics, mathematics, coupled ...

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Etl Developer information

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$59

$84

How much do etl developer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for etl developer in Hawaii is $59.61, according to ZipRecruiter salary data. Most workers in this role earn between $50.96 and $66.68 per hour, depending on experience, location, and employer.

What is an ETL developer?

An ETL (extract, transform, load) developer is an information technology specialist whose area of expertise is data warehouse solutions. As an ETL developer, your responsibilities include overseeing the big picture data warehousing needs of your company. You work with a team of IT professionals to assess current data storage systems, evaluate needs, and determine the best way to meet those requirements. Once you have developed the new data warehouse system, you oversee the extraction of data from other sources, the uploading of that data into the new system, and testing and troubleshooting to ensure everything works properly.

What are the key skills and qualifications needed to thrive as an ETL developer?

To thrive as an ETL Developer, you need expertise in data warehousing concepts, strong SQL skills, and experience with ETL tools, often supported by a degree in computer science or a related field. Familiarity with tools like Informatica, Talend, SSIS, and proficiency in scripting languages as well as database management systems is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills in this role. These skills ensure accurate data integration, reliable data pipelines, and successful collaboration with stakeholders in data-driven projects.

Is ETL developer difficult to learn?

ETL developers need to understand data integration, database management, and ETL tools like Informatica or Talend. Learning these skills involves understanding data workflows and may require familiarity with SQL and scripting, but with dedicated study and practice, it is achievable for those with a technical background.

What is the difference between Etl Developer vs Data Engineer?

AspectEtl DeveloperData Engineer
Primary FocusDesigning and developing ETL processes for data integrationBuilding and maintaining scalable data pipelines and infrastructure
Skills & CertificationsSQL, ETL tools, data warehousing, sometimes certifications like Microsoft or InformaticaProgramming (Python, Java), cloud platforms, big data technologies, often similar certifications
Work EnvironmentData warehouses, BI teams, analytics departmentsData platforms, cloud environments, big data ecosystems
Industry UsageFinance, healthcare, retail, where data integration is keyTech, finance, e-commerce, focusing on data infrastructure

While both roles involve data processing, Etl Developers primarily focus on creating and maintaining ETL processes for data integration, whereas Data Engineers build comprehensive data pipelines and infrastructure to support large-scale data analytics and storage. The roles often overlap, but Data Engineers typically work on broader data architecture and scalability.

What are some common challenges ETL developers face when integrating data from multiple sources, and how can they be addressed?

ETL Developers are IT professionals who specialize in designing, building, and maintaining systems for extracting, transforming, and loading data from various sources into data warehouses or other storage systems. They work with large datasets, ensuring that data is accurately and efficiently moved, cleaned, and integrated for business intelligence and analytics. ETL Developers use specialized tools and programming languages to automate these processes, making data accessible and useful for organizations. Their role is crucial in supporting data-driven decision making.
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Etl Developer jobs near you
Infographic showing various Etl Developer job openings in Hawaii as of August 2026, with employment types broken down into 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $123,995 per year, or $59.6 per hour.

Data Engineer

Bespoke Labs

Waipahu, HI • On-site

$114K - $137K/yr

Full-time

Re-posted 21 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

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