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Data Retrieval Jobs (NOW HIRING)

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/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

Atlanta, GA · 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 ...

Senior Data Engineer

Miami, FL · Remote

$101K - $137K/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 Francisco, CA · Remote

$124K - $169K/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

Houston, TX · Remote

$101K - $137K/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

West Palm Beach, FL · Remote

$102K - $139K/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

Pittsburgh, PA · Remote

$102K - $139K/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

Berwyn, IL · Remote

$107K - $146K/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

Wilmington, DE · Remote

$102K - $139K/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

Chicago, IL · Remote

$109K - $148K/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

Hartford, CT · Remote

$106K - $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

Portland, OR · 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

Dallas, TX · 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

Detroit, MI · 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

Charlotte, NC · Remote

$103K - $140K/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

Cincinnati, OH · 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 ...

Drone Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Flight data retrieval * Media videoimage ingestion * Telemetry and metadata extraction * Integrate Skydio drone data with * Enterprise data platforms * Asset management systems * GIS systems * AIML ...

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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
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.
Senior Data Engineer

Senior Data Engineer

Troutman Pepper

Raleigh, NC • Remote

$103K - $140K/yr

Full-time

Posted 20 days ago


Job description

We are always seeking talented, motivated, growth-minded, and creative individuals. Our firm is committed to providing employee support and advancement, while embracing inclusion and innovation as keys to a stronger future.

We invite you to explore the position below and to submit your application to join our team!

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of enterprise data into the firm's finance applications, as well as creating validation reports utilizing database technologies and financial software. The Senior Data Engineer will build and maintain small, curated datasets and a centralized data lake integrating data from multiple cloud-based applications and Azure databases and will support data retrieval and analysis through Power BI dashboards.

Essential Duties and Responsibilities

  • Design, develop, and maintain ETL processes and data structures following best practices.

  • Work with data integration (ETL), data modeling, data quality, data governance, enterprise data warehouse (EDW), and analytical tools.

  • Develop efficient SQL stored procedures, views, and queries with a strong understanding of data structures, data integrity, and indexing.

  • Utilize SSIS, SSRS, and SSMS for ETL, reporting, and analysis of data.

  • 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 analysis and business reporting.

  • Creating Python scripts to automate internal tasks.

  • Creating Power Automate and Power Apps workflows for internal teams/departments.

  • Act as a knowledge resource and facilitator for data retrieval in support of all administrative business units.

  • Identify opportunities to drive innovation, improve data processes, and enhance the accuracy, reliability, and usability of information.

Knowledge, Skills and Abilities

  • Strong SQL and data engineering skills.

  • Hands-on experience with Azure, APIs, Microsoft Fabric, SSRS, SSIS, SSAS, Power Apps, Power Automate, Power BI, and Python.

  • Strong analytical and problem-solving skills.

  • Excellent written and oral communication skills.

  • Demonstrated ability to add value, build efficiency, and improve accuracy and reliability of information.

  • Strong awareness of deadlines and commitment to delivering high-quality work on time.

  • High level of discretion and sensitivity to confidential information.

  • Strong organizational skills with the ability to manage multiple priorities in a fast-paced environment.

  • Ability to synthesize information from a wide variety of sources and produce clear, concise, client-ready deliverables.

  • Proficiency with Microsoft Office products and related tools such as Excel, SSRS, Power Apps and PowerShell.

  • Blend of technical and business skills, along with strong interpersonal skills, developed through experience in data analysis, database design, and application development.

Education and Experience

  • Bachelors' degree in Computer Science, Management Information Systems, or related field.

  • Minimum of eight (8) years of relevant work experience with ETL, data integration and migration, and strong SQL.

  • Minimum of three (3) years of experience with Datawarehouse technologies, Power BI development and administration, and working with and translating company financial data into executive-level reports and KPI's.

  • Experience in creating and deploying ETL processes using SSIS required.

  • Hands-on experience to create Python scripts and automate the internal processes required.

  • Experience with Fabric and Aderant preferred.

  • Prior law firm or professional services experience beneficial.

#LI-Remote

The Firm will comply with any applicable city or state workplace mandates in effect in regards to Covid-19.

This position description is intended to describe the general content of and requirements for the performance of the job. The statements contained in the position description are not necessarily all-inclusive and additional duties and responsibilities may be assigned as determined by business needs.

This position description does not constitute a written or implied contract of employment.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

By applying for this position, you agree and understand that Troutman Pepper Locke will process your Personal Information pursuant to the terms of our Worker and Applicant Global Privacy Notice. If you have questions about our data handling practices, or you are a resident of California, the United Kingdom, or the European Union and wish to exercise your privacy rights, please contact us at privacy@troutman.com.

Equal Employment Opportunity
Troutman Pepper Locke adheres to a policy of equal opportunity and will make all employment decisions, which include hiring, promotion, transfer, demotion, evaluation, compensation and separation, without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, pregnancy, citizenship, disability, genetic information, marital or armed forces status and any other classification as protected by law.

Compensation is dependent on several factors, such as position, location, market, education, training, and/or experience.

Hiring Salary Range:

$120,000.00 - $170,000.00