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Data Retrieval Jobs (NOW HIRING)

InfiCare

Data & Knowledge Graph Architect

Hickory Creek, TX · On-site

$62 - $79.75/hr

You will play a crucial role in ensuring data retrieval, reliability, quality, and efficiency within the organization, with a focus on RDF-based graph databases and knowledge graph design. Required ...

DCS Corp

Avionics Data Engineer

Lexington Park, MD · On-site

$90K - $140K/yr

Operate independently and as part of multiple larger teams to evaluate vendor solutions for US Navy aircraft data storage, data retrieval, and data processing. Required Skills: Due to the sensitivity ...

Intrepidgs

Data Warehousing Administrator

Mclean, VA · On-site

Ensure data integrity and efficient data retrieval. * Implement long-term security protections for stored data. * Operate independently across multiple work areas. * Lead major technical assignments ...

NoGigiddy

Remote Data Entry Clerk

$18 - $24/hr

... retrieve data from the database as requested • Perform regular backups to ensure data preservation • Organize and maintain files and records for efficient data retrieval • Collaborate with team ...

Intrepidgs

Data Warehousing Administrator

Mclean, VA

Ensure data integrity and efficient data retrieval. * Implement long-term security protections for stored data. * Operate independently across multiple work areas. * Lead major technical assignments ...

Quantiphi, Inc.

Architect Data Engineer

Boston, MA · On-site +1

Establish benchmarks for data latency and retrieval accuracy, ensuring the data layer can keep pace with the real-time demands of agentic executionrability standards Basic Qualifications: * System ...

DCS CORPORATION

Avionics Data Engineer

Patuxent River, MD · On-site

$90K - $140K/yr

Operate independently and as part of multiple larger teams to evaluate vendor solutions for US Navy aircraft data storage, data retrieval, and data processing. Required Skills: Due to the sensitivity ...

Intrepid

Data Warehousing Administrator

Mclean, VA · On-site

Ensure data integrity and efficient data retrieval. * Implement long-term security protections for stored data. * Operate independently across multiple work areas. * Lead major technical assignments ...

Quantiphi, Inc.

Architect Data Engineer

Boston, MA · On-site

Establish benchmarks for data latency and retrieval accuracy, ensuring the data layer can keep pace with the real-time demands of agentic executionrability standards Basic Qualifications: * System ...

DCS Corporation

Avionics Data Engineer

Patuxent River, MD · On-site

$90K - $140K/yr

Operate independently and as part of multiple larger teams to evaluate vendor solutions for US Navy aircraft data storage, data retrieval, and data processing. Required Skills: Due to the sensitivity ...

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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
What job categories do people searching Data Retrieval jobs look for? The top searched job categories for Data Retrieval jobs are:
Data Retrieval jobs near you
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.
Corporate Planning & Management, Data Engineering, New York, Associate

Corporate Planning & Management, Data Engineering, New York, Associate

Goldman Sachs, Inc.

New York, NY • On-site

$125K - $150K/yr

Full-time

Posted 11 days ago

Goldman Sachs rating

8.2

Company rating: 8.2 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

44th of 149 rated banks

Job description


OUR IMPACT
Corporate Planning & Management (CPM) unifies Finance & Planning, Global Procurement, Product & Reporting and CPM Engineering teams to deliver business planning and analytics, expense management, third party risk management, sustainability strategy for our operations and supply chain, and governance strategies across the firm.
CPM Engineering provides engineering solutions that enable the firm to manage third-party spend & risk management, plan budgets, forecast financial scenarios, allocate expenses and support corporate decision making in-line with the firm's strategic objectives.
Why does this role stand out:
  1. Direct business impact - your work shapes how the firm plans, spends, forecasts, and makes strategic decisions.
  2. Build enterprise-wide solutions that cross data and platform boundaries, and decision-support tools, not just isolated applications.
  3. Cross-functional exposure - partner closely with finance, procurement, product, and risk leaders across a global organization.
  4. Complex, meaningful problems - work on systems that improve transparency, controls, efficiency, and scalability across enterprise operations.

We offer:
  • The opportunity to work on high-impact platforms that directly influence firm-wide financial planning and operational resilience
  • Access to modern cloud-native architectures, modern AI driven developer productivity tools (Copilot, Claude Code etc), distributed systems, and large-scale data pipelines
  • A forward-looking environment where AI tools, agentic frameworks, and intelligent automation are actively shaping the next generation of our solutions
  • A collaborative, global team where you can learn from experts and grow your career

HOW YOU WILL FULFILL YOUR POTENTIAL
As a Data Engineer on our team, you will:
  • Design, develop, and maintain software and data solutions across the entire software lifecycle from requirements gathering and architecture through implementation, testing and deployment
  • Build responsive, intuitive experiences and robust services that power financial planning, expense management, and risk platforms
  • Leverage AI tools and techniques (e.g., code-generation assistants, LLM-powered automation, prompt engineering, Spec-Driven Development) to accelerate development, improve code quality, and enhance platform capabilities
    • Build and maintain knowledge graph and RAG systems to enable document and data retrieval, querying and searching
    • Establish robust governance frameworks including logging, explainability, and auditability to ensure AI quality and reliability
  • Collaborate globally with sponsors, users, and engineering colleagues across multiple divisions to create end-to-end solutions that meet complex business requirements
  • Participate in code reviews to ensure quality, maintainability, and adherence to engineering best practices
  • Take technical ownership of features and components, managing multiple stakeholders and driving delivery within a global team
  • Stay current with the latest advancements in AI/ML platforms, tools, and software engineering practices to continuously improve our solutions

QUALIFICATIONS
Required
  • Bachelor's or master's degree in Computer Science, Computer Engineering, Data Engineering or a similar field of study.
  • 3+ years of proficiency in using programming languages (Java, Python etc) to solve data science problems.
  • Data Science & Engineering - experience using industry-standard libraries (e.g., Pandas, NumPy, PySpark, TensorFlow/PyTorch) to build scalable data pipelines, perform data modeling, and enable enterprise insights on large, complex datasets.
  • Strong analytical and problem-solving skills - experience with algorithms, data structures, and software design
  • Familiarity in utilizing AI tools for software development (e.g., AI-assisted coding, code review tools, LLM-based productivity tools)
  • Foundational understanding of AI and agentic systems - familiarity with concepts such as large language models, prompt engineering, retrieval-augmented generation (RAG) etc.
  • Comfortable with technical ownership, managing multiple stakeholders, and working as part of a global team

Preferred - Experience That Can Set You Apart
  • GenAI & Intelligent Data Retrieval using vector databases, embedding models, and agentic frameworks (e.g., LangChain) - to enable intelligent querying and synthesis of insights across large enterprise data assets.

  • Experience with Distributed Databases & Search Platforms- building and optimizing scalable, distributed data systems (e.g ElasticSearch, OpenSearch) with a focus on indexing, query performance, and real-time data retrieval; familiarity with search relevance tuning, vectors and embeddings across large datasets.

  • Advanced Data Analytics & Data Science experience applying data science methodologies - including statistical analysis, predictive modeling, and knowledge graphs - across diverse data types.
  • Familiarity with MLOps practices including CI/CD for ML, model deployment, and monitoring
  • Knowledge of cloud-native solutions (preferably AWS)
  • Knowledge of the financial industry - corporate planning, expense management, or risk functions

ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities, and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has several opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more.
© The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

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About Goldman Sachs

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At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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