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Data Input Jobs in Washington (NOW HIRING)

Data Scientist

Fort George G Meade, MD · On-site

$156K - $176K/yr

Early data science input during IOC ensures that data collected will be suitable for downstream AI development, reducing risk and accelerating capability maturation during follow-on implementation

Accounting Coordinator

Arlington, VA

$25 - $32.50/hr

Respond to administrative vendor inquiries Prepare regular status reports to be shared with stakeholders Assist in data input and the verification of data records to ensure integrity of accounting ...

Requires manual dexterity and eye-hand coordination for data input Skills and Abilities * Ability to cross-reference and recommend substitute products * Ability to get along with customers and other ...

Requires manual dexterity and eye-hand coordination for data input Skills and Abilities * Ability to cross-reference and recommend substitute products * Ability to get along with customers and other ...

Requires manual dexterity and eye-hand coordination for data input Skills and Abilities * Ability to cross-reference and recommend substitute products * Ability to get along with customers and other ...

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Showing results 1-20

Data Input information

See Washington salary details

$10

$19

$30

How much do data input jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for data input in Washington is $19.56, according to ZipRecruiter salary data. Most workers in this role earn between $14.97 and $26.84 per hour, depending on experience, location, and employer.

What is the difference between Data Input vs Data Entry?

AspectData InputData Entry
Primary FocusEntering data into systems or softwareTranscribing or recording data into documents or databases
Skills RequiredBasic computer skills, familiarity with data entry toolsTyping speed, accuracy, attention to detail
Work EnvironmentOften involves using specialized software or online platformsCan include manual transcription, paperwork, or digital forms
Common UsageData input is used in software development, automation, and system setupData entry is common in administrative, clerical, and record-keeping roles

While both roles involve handling data, Data Input typically refers to entering data into digital systems or software, often requiring familiarity with specific tools. Data Entry focuses more on transcribing or recording data accurately, often from physical or digital sources. Understanding these differences helps in choosing the right job or training path.

What jobs pay 4000 a week without a degree?

Data input roles typically do not pay $4,000 a week without specialized skills or experience. High-paying jobs in this field are rare; most data entry positions offer lower wages. To reach higher earnings, individuals often need advanced skills, certifications, or move into related fields like data analysis or project management.

Do data entry jobs really pay?

Data entry jobs typically pay hourly wages that can range from minimum wage to higher rates depending on experience, complexity of tasks, and employer. Many positions offer part-time or flexible schedules, and pay can vary based on skill level and the tools used, such as spreadsheets or specialized software.

What are the key skills and qualifications needed to thrive as a Data Input specialist, and why are they important?

To thrive as a Data Input specialist, you need strong attention to detail, fast and accurate typing abilities, and a basic understanding of data management, usually supported by a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, database systems, and data entry platforms is typically required. Strong organizational skills, reliability, and the ability to work independently are valuable soft skills in this role. These competencies help ensure accurate data entry, minimize errors, and support efficient information management for the organization.

What are data input jobs?

Data input jobs involve entering, updating, and managing data within computer systems or databases. These roles often require attention to detail, basic computer skills, and familiarity with data entry tools like spreadsheets or specialized software. They are commonly performed in office environments and may be part-time or full-time positions.

How can I make 2000 a week working from home?

Data input jobs can pay varying amounts depending on experience, workload, and employer, with some freelancers earning $2000 or more weekly by taking on multiple projects or high-volume tasks. To reach this income level, strong attention to detail, proficiency with data entry tools, and efficient work habits are essential, often requiring full-time commitment or multiple clients.

What are some common challenges faced by Data Input professionals, and how can they be managed?

Data Input professionals often encounter challenges such as handling large volumes of repetitive tasks, maintaining accuracy under tight deadlines, and managing potential data inconsistencies. To manage these challenges, it's important to develop strong attention to detail, become proficient with data management software, and establish clear communication with team members to clarify any uncertainties. Regularly double-checking work and staying organized can also help ensure high-quality data entry and minimize errors.
What are the most commonly searched types of Data Input jobs in Washington? The most popular types of Data Input jobs in Washington are:
What cities in Washington are hiring for Data Input jobs? Cities in Washington with the most Data Input job openings:
Senior Data Scientist - Operational Analytics

Senior Data Scientist - Operational Analytics

Peraton

Annapolis Junction, MD

Full-time

Re-posted 29 days ago


Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

41st of 210 rated it services


Job description

Responsibilities

Peraton Labs is seeking a Data Scientist to support the BNATCS CTO Advanced Analytics and Digital Command Center teams by transforming complex workstream, program, schedule, requirements, and operational data into trusted metrics, analytical insights, and decision-support products.

This role will support the analytics foundation behind the Digital Command Center (DCC) by helping interpret, model, visualize, and operationalize complex workstream data. You will work closely with CTO leadership and mission stakeholders to transform raw and evolving program data into actionable insights, dashboards, metrics, and analytics products that support FAA modernization objectives.

The ideal candidate for this role brings strong analytical judgment, cognitive flexibility, hands-on comfort with data, and the ability to understand both the technical structure of data and the operational meaning behind it. Candidates for this role should be able to analyze, reason, and communicate well enough to contribute to analytics workflows, dashboard logic, data validation, and integration activities supporting the consolidated data environment that feeds the program's agentic AI engine.

Experience with FAA, NAS, Aviation, air traffic operations, transportation, safety-critical systems, or large-scale modernization data is highly relevant to this position.

Key responsibilities may include, but are not limited to:

  • Analyze workstream, requirements, IMS, schedule, risk, operational, and program data to identify trends, dependencies, gaps, anomalies, and decision-relevant insights
  • Define operational metrics, KPIs, analytical logic, thresholds, and decision-support views for Digital Command Center dashboards and advanced analytics products
  • Assess the quality, completeness, consistency, and usability of data made available through enterprise data repositories
  • Partner with data architects and data engineers to identify data gaps, transformation needs, metadata requirements, and analytics-readiness issues
  • Support ai-enabled analytics workflows by helping define trusted data inputs, context, validation criteria, and human-in-the-loop review considerations
  • Develop notebooks, scripts, SQL queries, statistical analyses, models, and reusable analytical artifacts to support data exploration and decision-making
  • Translate ambiguous operational questions into structured analysis, measurable metrics, and clear recommendations
  • Communicate assumptions, limitations, findings, and implications to technical teams, program leadership, and mission stakeholders
Qualifications

Required Qualifications

  • 8+ years of experience with a BS/BA, 6+ years with a MS/MA, or 3+ with a PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, Information Systems, Analytics, or a related technical discipline
  • Experience analyzing complex structured, semi-structured, operational, program, or business datasets to support decision-making
  • Proficiency with Python, R, SQL, or similar analytical tools, with the ability to develop notebooks, scripts, queries, and reusable analysis artifacts
  • Experience with exploratory data analysis, data cleaning, statistical analysis, trend analysis, anomaly detection, forecasting, classification, clustering, or predictive modeling
  • Experience defining or supporting metrics, KPIs, dashboards, reports, or decision-support products
  • Ability to assess data quality, completeness, consistency, and analytical usefulness
  • Ability to translate ambiguous operational and stakeholder questions into structured analyses and measurable outputs
  • US Citizenship and the ability to obtain an FAA Public Trust clearance

Desired Additional Qualifications 

  • Experience supporting FAA, aviation, NAS, air traffic management, transportation, defense, logistics, infrastructure, command center, risk, or other complex operational environments 
  • Experience with cloud-based data environments, especially AWS, Glue, Athena, Redshift, SageMaker, Databricks, Snowflake, or similar 
  • Experience working with data lakes, data warehouses, lakehouse environments, or multi-source data integration environments 
  • Experience with dashboarding or visualization tools such as Tableau, Power BI, Grafana, Plotly, Dash, Streamlit, Superset, Qlik, or similar platforms 
  • Familiarity with LLMs, agentic AI systems, retrieval-augmented generation (RAG), prompt/context engineering, AI-enabled workflows, or model/output evaluation 
  • Experience supporting human-in-the-loop analytics, AI output validation, data quality frameworks, or decision-support governance 
  • Experience working with requirements data, schedule data, risk data, dependency data, operational performance data, or program execution data 
  • Familiarity with APIs, JSON, Parquet, data pipelines, ETL/ELT concepts, metadata, lineage, or data governance concepts 
  • Experience contributing lightweight code to dashboards, data workflows, APIs, or analytics applications 
Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Target Salary Range$104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.Employment Type: FULL_TIME

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Pay

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Hours and flexibility

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017