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Senior Data Engineer Jobs in Hawaii (NOW HIRING)

SAIC

Data Operations Engineer Senior

Honolulu, HI

$120K - $160K/yr

Big Data Engineer Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI Clearance Level Must Be Able to Obtain: None Potential for Remote Work: ORA_ON_SITE Description We ...

SAIC

Data Operations Engineer Senior

Honolulu, HI · On-site

$120K - $160K/yr

ORA_ON_SITE Description SAIC is seeking an experienced Data Ops Engineer Senior to join our Technical Engineering and Design Department in support of our United States Air Force customer. This ...

Atreides

HI · Hybrid

$122K - $147K/yr

Data Engineer Company Overview: Atreides helps organizations transform large and complex multi ... Strong briefing abilities for senior leaders and operational clients. * Excellent problem-solving ...

Atreides

HI · On-site

$122K - $147K/yr

Data Engineer Company Overview: Atreides helps organizations transform large and complex multi ... Strong briefing abilities for senior leaders and operational clients. * Excellent problem-solving ...

Atreides

HI · On-site

Data Engineer Company Overview: Atreides helps organizations transform large and complex multi ... Strong briefing abilities for senior leaders and operational clients. * Excellent problem-solving ...

SAIC

Data Operations Engineer Principal

Honolulu, HI · On-site

$120K - $160K/yr

Power BI, Tableau, Grafana or other toolsets to visualize data and share insights with senior ... engineering, intelligence, and enterprise information technology markets. SAIC is Redefining ...

Innovative Management Concepts, Inc.

Be Seen First

Sr. Data Center Operations Manager (IMC00857)

Honolulu, HI · On-site

$160K - $165K/yr

Minimum of 10 years of senior-level experience in DoD data center management. * At start date, must ... Strong background in network architecture/engineering, enterprise IT infrastructure, and secure ...

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All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Hawaii

Senior Data Engineer information

See Hawaii salary details

$84.2K

$131.3K

$181.8K

How much do senior data engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for senior data engineer in Hawaii is $131,250.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $149,600.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often possess skills in SQL, Python, cloud platforms, and data pipeline tools, which can influence compensation levels.

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

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.
What are the most commonly searched types of Data Engineer jobs in Hawaii? The most popular types of Data Engineer jobs in Hawaii are:
What are popular job titles related to Senior Data Engineer jobs in Hawaii? For Senior Data Engineer jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineer jobs in Hawaii look for? The top searched job categories for Senior Data Engineer jobs in Hawaii are:
What cities in Hawaii are hiring for Senior Data Engineer jobs? Cities in Hawaii with the most Senior Data Engineer job openings:
What are popular job titles related to Senior Data Engineer jobs in HI? For Senior Data Engineer jobs in HI, the most frequently searched job titles are:
Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Hawaii as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $131,250 per year, or $63.1 per hour.

Data Operations Engineer Senior

SAIC

Honolulu, HI

$120K - $160K/yr

Full-time

Posted 5 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

78th of 223 rated it services

Job description

Job ID: 2615399

Location: Honolulu, HI, US

Date Posted: 2026-08-11

Category: Information Technology

Subcategory: Big Data Engineer

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: TS.SCI

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE


Description

We are seeking a Data Operations Engineer to design, build, and maintain real-time and near-realtime data ingestion pipelines supporting a mission-critical system and moves data across security domains using cross domain solutions (CDS) / guards. You will be responsible for the reliable flow of streaming data from a wide range of sources into our data platform, ensuring data quality, observability, and scalability.
You'll partner closely with data engineers, platform engineers, analytics teams, and security/governance personnel to deliver trustworthy, low-latency data that supports operational decisions — while ensuring compliance with cross-domain and data classification requirements. This position is on-site in Honolulu, HI.

Key Responsibilities
•    Aid the team in delivering continual data feeds to users and monitoring the health of data quality and overall data ingest.
•    Design, build, and maintain resilient real-time/near-realtime ingestion pipelines using Apache NiFi and REST APIs, with appropriate backpressure, prioritization, retries, and error-handling strategies.
•    Configure and monitor data flows moving across security domains via cross domain guards/solutions, ensuring data integrity and compliance with transfer policies.
•    Parse, transform, validate, and route structured and unstructured data in a variety of formats, including Excel, CSV, JSON, and XML.
•    Employ data manipulation and visualization tools (e.g., Grafana, Prometheus) to effectively convey pipeline status, data quality, and historical trends to leadership, users, and the data team.
•    Collaborate with platform, software, and other data engineers to (re)configure and continuously improve data ingestion pipeline reliability.
•    Develop and maintain software/scripts to automate monitoring of real-time feeds and alert on timeliness, volume, lineage, and distribution data issues.
•    Translate learnings from historical pipeline data into actionable steps to improve data ingest reliability and performance.
•    Partner with security and governance teams to enforce encryption, authentication, authorization, and data classification requirements across pipelines and cross-domain transfers.
•    Write and maintain scripts (Python, Bash, or similar) to automate data processing, validation, and monitoring tasks.
•    Document data flows, system configurations, and standard operating procedures.

Qualifications

TYPICAL EDUCATION AND EXPERIENCE: Bachelors and five (5) years or more experience; Masters and three (3) years or more experience; PhD and 0 years related experience.

•    U.S. Citizenship and an active TS/SCI clearance.
•    Bachelor of Science degree in Computer Science, Mathematics, Electrical Engineering, Physics, Information Systems, Information Technology, or related field.
•    3+ years of experience in data engineering, data operations, or DevOps roles supporting production data pipelines.
•    Proficiency in Python, Bash, or similar scripting languages commonly used in data science/data analytics applications.
•    Working knowledge of the Linux (RedHat) command line; familiarity with Windows environments.
•    Solid understanding of data engineering fundamentals: data pipelines, streaming architectures, ETL/ELT concepts, and data quality principles.
•    Familiarity with JSON, XML, CSV, and Excel data formats, parsing, and transformation.

Preferred Qualifications (Nice to Have)
•    Experience with streaming/messaging platforms and tools: Kafka, JMS, Apache Flink/Spark Streaming.
•    Experience with monitoring/observability tools: Grafana, Prometheus, Elasticsearch.
•    Experience with data platforms such as Snowflake.
•    Familiarity with cross domain solutions/guards (e.g., data diode concepts, transfer validation, content filtering).
•    Experience enforcing encryption, authentication/authorization, and data classification policies in partnership with security/governance teams.
•    Experience with version control tools (e.g., Git) and Agile/Scrum practices.
•    Prior experience in a government, defense, or intelligence community environment.

Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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