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Data Enrichment Jobs (NOW HIRING)

Senior Data Engineer, Enrichment

New York, NY · On-site

$116K - $157K/yr

As Senior Data Engineer for Enrichment, you'll own the systems that create and maintain the largest, highest-quality first-party contact dataset in the market. You'll design the pipelines that ingest ...

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Data Enrichment information

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How much do data enrichment jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for data enrichment in the United States is $32.84, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $36.54 per hour, depending on experience, location, and employer.

What is a data enrichment job?

A data enrichment job involves enhancing existing data by adding missing information, verifying accuracy, or updating records to improve data quality. It often requires skills in data analysis, familiarity with databases, and tools like CRM or data management software.

Which 3 jobs will survive AI?

Data Enrichment specialists will continue to be essential as AI tools often require human oversight for data accuracy and context. Roles involving complex judgment, creativity, and emotional intelligence—such as data analysts, data scientists, and AI trainers—are also likely to persist. These jobs benefit from skills in critical thinking, domain expertise, and familiarity with data management tools.

What are the typical daily tasks for someone working in Data Enrichment?

A typical day in Data Enrichment involves collecting, verifying, and updating information in company databases to ensure accuracy and completeness. You may use specialized software to cross-reference data sources, clean up existing records, and supplement missing fields with additional details from external or internal sources. Collaboration with sales, marketing, or data analytics teams is common, as enriched data often supports lead generation or business intelligence initiatives. This role requires a blend of independent focus and teamwork, as well as frequent communication to clarify requirements or resolve inconsistencies.

Is 40 too late for data science?

Data science is a field open to professionals of all ages, including those starting at 40 or later. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, as well as building a strong portfolio and gaining practical experience. Age is less important than your ability to learn and adapt to evolving technologies in the field.

What are the key skills and qualifications needed to thrive in the Data Enrichment position, and why are they important?

To thrive in Data Enrichment, you need strong analytical skills, attention to detail, and experience working with large data sets, often supported by a degree in data science, information management, or related fields. Familiarity with data management tools such as Excel, SQL databases, CRM systems, and occasionally automation scripts or enrichment platforms is commonly required. Excellent organizational skills, critical thinking, and effective communication are valuable soft skills in this role. These capabilities ensure accurate, high-quality data improvement and seamless collaboration with broader data or marketing teams.

What jobs pay 500,000 a year?

In the field of data enrichment, high-paying roles such as senior data scientists, data engineers, or analytics directors can reach or exceed $500,000 annually, especially with extensive experience, advanced skills in data management tools, and leadership responsibilities. These positions often require advanced degrees, certifications, and a strong understanding of data infrastructure and business strategy.

What is a Data Enrichment job?

A Data Enrichment job involves improving and enhancing raw data by adding relevant information from various sources. This role typically includes verifying, cleaning, and supplementing data to ensure accuracy and completeness. Data enrichment professionals work with databases, CRM systems, and external data sources to provide valuable insights for businesses. Their efforts help organizations make better decisions, personalize customer interactions, and improve overall data quality.

More about Data Enrichment jobs
What cities are hiring for Data Enrichment jobs? Cities with the most Data Enrichment job openings:
What are the most commonly searched types of Data Enrichment jobs? The most popular types of Data Enrichment jobs are:
What states have the most Data Enrichment jobs? States with the most job openings for Data Enrichment jobs include:
Infographic showing various Data Enrichment job openings in the United States as of July 2026, with employment types broken down into 79% Full Time, and 21% Part Time. Highlights an 84% In-person, 5% Hybrid, and 11% Remote job distribution, with an average salary of $68,307 per year, or $32.8 per hour.
Legal Data Analyst - Data Enrichment

Legal Data Analyst - Data Enrichment

Bloomberg LP

Princeton, NJ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

11th of 202 rated software companies


Job description

Legal Data Analyst - Data Enrichment
Location
Princeton
Business Area
Data
Ref #
10052237
Description & Requirements
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to improve our systems, products and processes - all while providing customer support to our clients.
Our team:
Our Data team supports the Bloomberg Industry Group (INDG) business, which offers outstanding tools, search, and analytics for products in the areas of Law, Government and Tax. Bloomberg is changing the legal industry by delivering the most sophisticated research platform on the market with a focus on automation, analytics and real-time answers. INDG provides users with fast access to legal content and analysis, practice tools, company information and market intelligence through advanced search & analytic capabilities. Our group within the Data department provides a variety of opportunities for professionals in the legal field to embark on a groundbreaking career combining their legal knowledge with world-class technology.
What's the role?
As a member of the Data Enrichment team, you will have the opportunity to function as a subject matter authority in all areas of the law for our BCITE and Precedent Search products, providing the legal insights our customers require. You will work with our business partners to ensure our caselaw and transactional data meets the high quality standards our clients expect, providing timely and accurate analytics. You will also have the unique opportunity to partner with engineering and machine learning experts to explore new technologies with an eye towards innovation and evolution of the product.
Our group offers a distinctive and prestigious alternative legal career for current lawyers which allows you to blend your passion for the law with technical know-how, eye for business, and data analysis. We are looking for innovative and energetic individuals who proactively tackle problems on a large scale while still maintaining attention to detail.
We'll trust you to:
  • Analyze caselaw, agency, and transactional documents becoming a legal subject-matter guide with the ability to drive technical solutions internally
  • Manage vendor teams to ensure quality performance and consistency to SLAs
  • Collaborate with fellow legal data analysts, Engineering, and Bloomberg Industry Group staff to devise creative solutions to technical challenges
  • Find opportunities for increased efficiency in our existing workflows and processes to make a business impact
  • Collaborate closely with partners to bring together requirements, scope, and develop project plans

You'll need to have:
  • Graduated with a Juris Doctor (JD) degree from an accredited law school
  • Passed a state bar examination and have been admitted
  • Familiarity with online legal research tools (experience with the BLAW product is a plus)
  • Strong analytical, written, and presentation skills
  • Willingness to travel internationally

We'd love to see:
  • Demonstrated interest in legal research and analysis and creative problem-solving
  • Judicial clerkships
  • A keen interest in building your technology knowledge and skills, including having a desire to learn data analysis tools, such as Excel and/or Python, as well as exploring how generative AI can be used to improve productivity, problem-solving, and innovation
  • Experience with process reengineering, or with improving/enhancing an existing process

Salary Range = 90,000 - 110,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981