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Data Retrieval Jobs (NOW HIRING)

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

Write optimized SQL queries and stored procedures for data retrieval and analysis; * Manage policies and processes for data governance and data quality; * Create and maintain documentation for data ...

Senior Data Engineer

Harrisburg, PA · Remote

$104K - $142K/yr

Retrieve data from cloud applications using Azure SQL and build a centralized data lake integrating multiple cloud-based applications and Azure databases. * Design and develop Power BI dashboards for ...

Senior Data Engineer

Richmond, VA · Remote

$104K - $142K/yr

Retrieve data from cloud applications using Azure SQL and build a centralized data lake integrating multiple cloud-based applications and Azure databases. * Design and develop Power BI dashboards for ...

Senior Data Engineer

Boston, MA · Remote

$115K - $156K/yr

Retrieve data from cloud applications using Azure SQL and build a centralized data lake integrating multiple cloud-based applications and Azure databases. * Design and develop Power BI dashboards for ...

Senior Data Engineer

Providence, RI · Remote

$107K - $145K/yr

Retrieve data from cloud applications using Azure SQL and build a centralized data lake integrating multiple cloud-based applications and Azure databases. * Design and develop Power BI dashboards for ...

Senior Data Engineer

Princeton, NJ · Remote

$111K - $151K/yr

Retrieve data from cloud applications using Azure SQL and build a centralized data lake integrating multiple cloud-based applications and Azure databases. * Design and develop Power BI dashboards for ...

Senior Data Engineer

Washington, DC · Remote

$120K - $163K/yr

Retrieve data from cloud applications using Azure SQL and build a centralized data lake integrating multiple cloud-based applications and Azure databases. * Design and develop Power BI dashboards for ...

Senior Data Engineer

San Diego, CA · Remote

$112K - $152K/yr

Retrieve data from cloud applications using Azure SQL and build a centralized data lake integrating multiple cloud-based applications and Azure databases. * Design and develop Power BI dashboards for ...

Senior Data Engineer

Los Angeles, CA · Remote

$114K - $155K/yr

Retrieve data from cloud applications using Azure SQL and build a centralized data lake integrating multiple cloud-based applications and Azure databases. * Design and develop Power BI dashboards for ...

Senior Data Engineer

New Orleans, LA · Remote

$101K - $138K/yr

Retrieve data from cloud applications using Azure SQL and build a centralized data lake integrating multiple cloud-based applications and Azure databases. * Design and develop Power BI dashboards for ...

Data Engineer

Foster City, CA · Hybrid

$133K - $160K/yr

You will work on AI-native data systems including retrieval infrastructure, vector indexing, semantic knowledge platforms, real-time context pipelines, orchestration data flows, and intelligent data ...

Senior Data Engineer

Philadelphia, PA · Remote

$107K - $145K/yr

Retrieve data from cloud applications using Azure SQL and build a centralized data lake integrating multiple cloud-based applications and Azure databases. * Design and develop Power BI dashboards for ...

Senior Data Engineer

Stamford, CT · Remote

$113K - $153K/yr

Retrieve data from cloud applications using Azure SQL and build a centralized data lake integrating multiple cloud-based applications and Azure databases. * Design and develop Power BI dashboards for ...

Senior Data Engineer

Rochester, NY · Remote

$104K - $142K/yr

Retrieve data from cloud applications using Azure SQL and build a centralized data lake integrating multiple cloud-based applications and Azure databases. * Design and develop Power BI dashboards for ...

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Showing results 1-20

Data Retrieval information

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

To thrive as a Data Retrieval Specialist, a strong background in database management, data analysis, and information systems—often supported by a relevant degree—is essential. Familiarity with SQL, data extraction tools, and enterprise database systems such as Oracle or Microsoft SQL Server is typically required. Attention to detail, problem-solving abilities, and clear communication skills help professionals interpret requirements and ensure data accuracy. These competencies are crucial for efficiently locating, extracting, and validating data to support business decision-making and compliance.

What is the highest paying data job?

The highest paying data jobs typically include Data Science Director, Chief Data Officer, and Data Engineering Manager roles, which can earn six-figure salaries or higher depending on experience, industry, and location. These positions often require advanced skills in data analysis, machine learning, and leadership, along with relevant certifications or degrees. Compensation varies widely but senior-level roles in large organizations tend to offer the highest salaries in the data field.

What jobs make $1,000,000 a year?

In the field of data retrieval, high-earning roles such as chief data officers, data science executives, or senior data consultants can reach or exceed $1 million annually, especially in large corporations or tech firms. These positions often require extensive experience, advanced skills in data management and analytics, and leadership responsibilities. Compensation at this level may include base salary, bonuses, stock options, and other incentives.

What is data retrieval?

Data retrieval is the process of obtaining and extracting specific information from a database, storage system, or other data sources. It involves using queries or search techniques to locate and access relevant data efficiently and accurately. Data retrieval is essential in fields like data analysis, information management, and business intelligence, as it helps organizations make informed decisions based on up-to-date information. Professionals in this area often use tools and programming languages such as SQL, Python, or specialized data management software to streamline the retrieval process.

What is the difference between Data Retrieval vs Data Analyst?

AspectData RetrievalData Analyst
Primary RoleExtracting data from databases or sourcesInterpreting, analyzing, and visualizing data
Skills & CertificationsSQL, database managementSQL, statistics, data visualization tools
Work EnvironmentDatabase systems, data warehousesAnalytics platforms, reporting tools
Industry UsageIT, database management, data engineeringBusiness intelligence, marketing, finance

Data Retrieval focuses on extracting data efficiently from sources, while Data Analysts interpret and analyze that data to support decision-making. Both roles often collaborate but serve different functions within data management and analysis processes.

How to become a data recovery specialist?

To become a data recovery specialist, you typically need a background in computer science, information technology, or a related field, along with knowledge of file systems, storage devices, and data recovery tools. Gaining experience through certifications such as Certified Data Recovery Professional (CDRP) and hands-on practice with data recovery software and hardware are also important. Strong problem-solving skills and attention to detail are essential in this role.

Do data entry jobs really pay?

Data retrieval jobs, which often involve data entry tasks, typically pay hourly wages that vary based on experience, location, and employer. Entry-level positions may pay minimum wage or slightly above, while experienced data entry clerks can earn higher rates, especially if they have skills in software tools like Excel or database management. Overall, pay is generally consistent with other administrative or clerical roles.

What are some common challenges faced in a Data Retrieval role and how can they be addressed?

Professionals in Data Retrieval often encounter challenges such as dealing with large, unstructured datasets, ensuring data accuracy, and maintaining data security. Addressing these issues typically requires proficiency with advanced query languages, data cleaning tools, and strong attention to detail. Collaborating closely with data engineers and analysts can also help in developing efficient retrieval processes and verifying data integrity. Continuous learning and staying updated with the latest tools and best practices are crucial for overcoming these challenges effectively.
More about Data Retrieval jobs
Infographic showing various Data Retrieval job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.
All-Source Data Analyst - Generative AI Platform Power User

All-Source Data Analyst - Generative AI Platform Power User

Peraton

Herndon, VA • On-site

Full-time

Re-posted yesterday


Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

42nd of 210 rated it services


Job description

Responsibilities

Peraton Labs is seeking an All-Source Analyst to serve as a power user and mission-facing operator of a customer deployed Generative AI Platform. This role sits at the intersection of analytical tradecraft, operational workflow execution, and hands-on use of AI-enabled tools to produce timely, high-quality analytical products and mission insights.

This individual will leverage the full breadth of the Generative AI Platform capabilities - including agentic workflows, natural language interfaces, data retrieval, structured analysis, and automated reporting - to address real-world analytical questions, support decision-makers, and help demonstrate the operational value of AI-augmented analysis. The ideal candidate brings strong all-source analytical skills, comfort working with diverse data types and sources, and a willingness to push the boundaries of what AI-enabled analytical workflows can deliver.

As a power user, you will also play a critical role in shaping platform development by providing direct feedback on usability, capability gaps, workflow effectiveness, and mission relevance - helping ensure that the platform evolves in ways that genuinely improve analytical outcomes.

Key Responsibilities:

  • Conduct all-source analysis using a customer deployed Generative AI Platform, leveraging agentic workflows, structured retrieval, data fusion, and AI-assisted analytical tools to produce mission-relevant assessments and products
  • Serve as a power user of the Generative AI Platform - deeply learning its capabilities, identifying optimal workflows, and pushing the boundaries of AI-augmented analytical tradecraft
  • Translate complex analytical questions into structured platform workflows, leveraging natural language interfaces, agent configurations, data queries, and multi-step analytical processes
  • Synthesize information from diverse structured and unstructured sources to produce clear, well-sourced, and defensible analytical products
  • Evaluate and validate AI-generated outputs, applying analytical rigor and subject matter judgment to ensure accuracy, relevance, and appropriate sourcing
  • Provide continuous feedback to engineering and product teams on platform usability, workflow effectiveness, capability gaps, and mission-relevant improvement opportunities
  • Develop and refine reusable analytical workflows, templates, prompt strategies, and best practices that improve efficiency and consistency across the analyst user base
  • Support the creation of demonstrations, pilot use cases, and mission-relevant proof-of-concept workflows that showcase platform value to stakeholders
  • Collaborate with other analysts, engineers, and mission stakeholders to identify high-value analytical use cases and help prioritize platform development
  • Help define and document concepts of employment, analytical workflows, evaluation criteria, and operational procedures for AI-augmented analysis
  • Support training, onboarding, and enablement of new platform users by sharing expertise, best practices, and lessons learned
  • Contribute to the development of quality assurance and evaluation frameworks for AI-assisted analytical products
Qualifications

Required Qualifications:

  • Minimum of a Bachelor's degree in Intelligence Studies, International Relations, Political Science, Data Analytics, Information Systems, National Security Studies, or a related field
  • 5+ years of relevant experience in all-source analysis, intelligence analysis, research analysis, operational analysis, or related analytical roles
  • Demonstrated experience producing structured analytical products from diverse data sources, including open source, structured databases, and unstructured text
  • Strong critical thinking, analytical reasoning, and problem-solving skills with the ability to assess source reliability and information credibility
  • Experience working with analytical tools, platforms, or technologies that support data retrieval, visualization, structured analysis, or report generation
  • Strong written and verbal communication skills, including the ability to produce clear, concise, and well-organized analytical products and briefings
  • Comfort operating in fast-paced, evolving environments where tools and workflows are actively being developed and refined
  • Ability to work cross-functionally with technical teams, providing clear feedback on platform capabilities and analytical needs
  • US Citizenship with the ability to obtain and maintain public trust suitability

Desired Qualifications:

  • Prior experience in intelligence community, defense, law enforcement, homeland security, or other mission-driven analytical environments
  • Hands-on experience with AI-enabled analytical tools, large language models, agentic AI platforms, or AI-assisted research and analysis workflows
  • Experience with prompt engineering, workflow configuration, or natural language interaction with AI systems in an analytical context
  • Familiarity with structured analytical techniques (SATs), intelligence community analytical standards, or equivalent analytical frameworks
  • Experience with data visualization, geospatial analysis, link analysis, or other specialized analytical methodologies
  • Background in evaluating or adopting new analytical technologies, including participation in pilot programs, technology transitions, or capability assessments
  • Experience developing analytical SOPs, tradecraft guides, training materials, or best practice documentation
  • Familiarity with knowledge management, data curation, or information organization in support of analytical workflows
  • Experience in environments where analytical rigor, source protection, and quality assurance are critical operational requirements
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$86,000 - $138,000. 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

Benefits

Hours and flexibility

Workplace

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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