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Remote Excel Jobs in Hawaii (NOW HIRING)

SAIC

Data Operations Engineer Principal

Honolulu, HI · On-site +1

$120K - $160K/yr

None Potential for Remote Work: ORA_ON_SITE Description We are seeking a Data Operations Engineer ... Familiarity with JSON, XML, CSV, and Excel data formats, parsing, and transformation. Preferred ...

United Soccer League (USL)

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... Solid computer skills and proficiency with MS Word, Excel, PowerPoint, Outlook are a must.

BerryDunn

Medicaid Payment Integrity SME

Kapolei, HI · On-site +1

This position offers flexibility in work location, including fully onsite, hybrid, or remote ... Microsoft Excel, SQL, Power BI, Tableau, or comparable analytics and dashboarding tools for claims ...

United Soccer League (USL)

$15.75 - $19.75/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... Solid computer skills and proficiency with MS Word, Excel, PowerPoint, Outlook are a must.

United Soccer League (USL)

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... Solid computer skills and proficiency with MS Word, Excel, PowerPoint, Outlook are a must.

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Remote Excel information

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How much do remote excel jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for remote excel in Hawaii is $35.39, according to ZipRecruiter salary data. Most workers in this role earn between $21.25 and $40.72 per hour, depending on experience, location, and employer.

What are remote Excel jobs?

Remote Excel jobs are positions that involve working with Microsoft Excel from a location outside of a traditional office, such as from home or another remote location. These jobs typically require strong proficiency in Excel functions, formulas, data analysis, and sometimes advanced skills like VBA programming or creating complex dashboards. Roles may include data analyst, financial analyst, administrative assistant, or report specialist, and they often require collaboration via email or online platforms. Remote Excel jobs offer flexibility and the chance to contribute to organizations without being tied to a physical office.

What are remote Excel jobs?

Remote Excel jobs focus on using Microsoft Excel or similar spreadsheet software to enter and organize information and create visual representations of data. In this career, you work from home using Excel software on your PC. Your duties may include generating a formula or color-coded workbook that other employees or clients can use for accounting, customer data, employee scheduling, sales or cash-flow tracking, or tax records. You may work with clients on a freelance basis or perform data entry and bookkeeping services for a single employer.

What are the key skills and qualifications needed to thrive as a remote Excel specialist?

To thrive as a Remote Excel Specialist, you need advanced proficiency in Microsoft Excel, strong analytical skills, and a background in data management or related fields. Familiarity with Excel functions, pivot tables, macros, VBA scripting, and cloud collaboration tools like Microsoft 365 is typically required. Exceptional attention to detail, time management, and clear virtual communication skills help you deliver accurate results and collaborate effectively while working remotely. These skills are crucial for efficiently handling large datasets, automating workflows, and supporting business decisions from any location.

What are the typical challenges faced by remote Excel specialists, and how can they overcome them?

Remote Excel specialists often encounter challenges such as collaborating effectively with team members across different time zones, managing large datasets without direct IT support, and ensuring data security when working from home. To overcome these, it's helpful to establish clear communication channels, use cloud-based platforms like Microsoft 365 for real-time collaboration, and follow best practices for data management and cybersecurity. Regular check-ins with teammates and staying updated on Excel’s latest features can also enhance productivity and workflow.

What is the difference between Remote Excel vs Remote Data Entry Specialist?

AspectRemote ExcelRemote Data Entry Specialist
Required SkillsAdvanced Excel skills, formulas, macrosBasic data input, accuracy, speed
CertificationsExcel certifications (e.g., Microsoft Office Specialist)Not typically required
Work EnvironmentProject-based, analytical tasksData input, database management
Industry UsageFinance, analytics, reportingAdministrative, clerical roles

Remote Excel roles focus on advanced spreadsheet skills, data analysis, and reporting, often requiring certifications. Remote Data Entry Specialists primarily handle basic data input tasks with less technical skill needed. While both roles are remote and involve data, Remote Excel positions demand higher technical expertise and analytical ability.

More about Remote Excel jobs

What are the most commonly searched types of Excel jobs in Hawaii?

The most popular types of Excel jobs in Hawaii are:

What are popular job titles related to Remote Excel jobs in Hawaii?

For Remote Excel jobs in Hawaii, the most frequently searched job titles are:

What job categories do people searching Remote Excel jobs in Hawaii look for?

The top searched job categories for Remote Excel jobs in Hawaii are:

What cities in Hawaii are hiring for Remote Excel jobs?

Cities in Hawaii with the most Remote Excel job openings:

Remote Excel jobs near you
Infographic showing various Remote Excel job openings in Hawaii as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $73,616 per year, or $35.4 per hour.

Data Operations Engineer Principal

SAIC

Honolulu, HI • On-site, Remote

$120K - $160K/yr

Full-time

Posted 16 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

80th of 225 rated it services

Job description

Job ID: 2615413

Location: Honolulu, HI, US

Date Posted: 2026-08-11

Category: Information Technology

Subcategory: Big Data Engineer

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 10% of the time

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 nine (9) years or more experience; Masters and seven (7) years or more experience ; PhD or JD and four (4) years or more 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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