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Data Curator Jobs in Chicago, IL (NOW HIRING)

The ideal candidate will have deep experience curating and analyzing a broad range of trading-related data sources-including traditional market data, fundamental datasets, and other vendor-supplied ...

The ideal candidate will have deep experience curating and analyzing a broad range of trading-related data sources-including traditional market data, fundamental datasets, and other vendor-supplied ...

Implement end to end data curation processes for Amgen's new and existing PSP (Patient Support Programs) and SP (Specialty Pharmacies) data sources; Implement linking of first and third-party patient ...

Implement end to end data curation processes for Amgen's new and existing PSP (Patient Support Programs) and SP (Specialty Pharmacies) data sources; Implement linking of first and third-party patient ...

GCP Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

Data curation * Transformation * Consumption * Enable unified analytics and AI capabilities with optimized storage and processing layers. Data Strategy & Platform Roadmap * Define end-to-end data ...

This role will be responsible for onboarding, transforming, and curating datasets. You will ... Implement data quality and control processes * Incorporate new data from both internally derived ...

Sr Data Engineer (Remote)

Bolingbrook, IL · On-site +1

$102K - $140K/yr

Develop and support data ingestion, curation, transformation, and consumption pipelines on Databricks using Spark, Delta Lake, notebooks, workflows/jobs, and Databricks SQL where applicable.

Clinical Terminologist

Chicago, IL · On-site

$67K - $95K/yr

Experience working with real world data from various sources (e.g., EHRs, lab systems, claims, and abstraction or curation). * Experience working with ELT tools to maintain high volume, high velocity ...

Clinical Terminologist

Chicago, IL · On-site

$67K - $95K/yr

Experience working with real world data from various sources (e.g., EHRs, lab systems, claims, and abstraction or curation). * Experience working with ELT tools to maintain high volume, high velocity ...

... data curation pipelines. Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines Excellent collaboration and communication skills, with the ability to ...

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Showing results 1-20

Data Curator information

See Chicago, IL salary details

$26.3K

$74.8K

$123.1K

How much do data curator jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data curator in Chicago, IL is $74,816.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $96,800.00 per year, depending on experience, location, and employer.

What does a data curator do?

A Data Curator is responsible for collecting, organizing, and maintaining datasets to ensure they are accurate, accessible, and usable for analysis. They work with data scientists, analysts, and other stakeholders to standardize metadata, establish data governance policies, and improve data quality. Data Curators often clean and enrich datasets, manage data repositories, and ensure compliance with regulatory standards. Their role is essential in making data more discoverable and valuable for decision-making and research.

What does a typical day look like for a data curator, and who do they usually collaborate with?

A typical day for a Data Curator involves collecting, organizing, and annotating datasets, maintaining data integrity, and updating records to comply with quality standards. Data Curators frequently work alongside data analysts, researchers, and IT professionals to ensure data is properly structured and easily accessible for various projects. You may also interact with data stewards or subject matter experts to validate metadata or resolve inconsistencies. Collaboration and communication are integral to the role, as you help bridge technical teams and end users, ensuring that data systems meet the evolving needs of the organization.

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

Success as a Data Curator requires strong analytical abilities, attention to detail, and a background in information management, data science, or a related field. Familiarity with data management tools, metadata standards (such as Dublin Core), and systems like relational databases and data repositories is highly advantageous, and certifications in data governance or data management can be beneficial. Excellent organizational skills, effective communication, and a collaborative mindset are key soft skills for this role. Mastery of these skills ensures data assets are accurately cataloged, accessible, and usable for stakeholders, supporting effective decision-making and research outcomes.

How do you become a data curator?

To become a data curator, individuals typically need a background in data management, information science, or related fields, along with skills in data organization, metadata standards, and database tools. Gaining experience through internships or entry-level roles in data management and obtaining certifications such as Certified Data Management Professional (CDMP) can also enhance prospects.

Is a data curator a good job?

A data curator is responsible for organizing, maintaining, and ensuring the quality of data within organizations, often using tools like databases and data management software. The role can offer stable employment, opportunities for specialization, and requires skills in data analysis and attention to detail. Job satisfaction depends on individual interests in data management and the industry environment.

What are the most commonly searched types of Data Curator jobs in Chicago, IL?

The most popular types of Data Curator jobs in Chicago, IL are:

Infographic showing various Data Curator job openings in Chicago, IL as of August 2026, with employment types broken down into 17% Internship, and 83% Full Time. Highlights an 100% In-person job distribution, with an average salary of $74,816 per year, or $36 per hour.

Quantitative Researcher - Data Curation

IMC

Chicago, IL • On-site

Full-time

Re-posted 5 days ago


Job description

We are seeking a highly analytical and detail-oriented Quantitative Researcher to join our dynamic research team. The ideal candidate will have deep experience curating and analyzing a broad range of trading-related data sources-including traditional market data, fundamental datasets, and other vendor-supplied information. This role will contribute to the development of innovative trading strategies, support data-driven decision-making, and collaborate closely with trading, technology, and data acquisition teams.

Key Responsibilities:

  • Curate, cleanse, and validate large volumes of market data, focusing on US equity and equity options
  • Integrate, preprocess, and evaluate fundamental & alternative data sources
  • Work closely with data acquisition & global data team to assess data quality
  • Build and maintain robust data pipelines for research and live trading environments
  • Perform data analysis ad statistical modeling to identify patterns and inefficiencies in the market
  • Ensure the accuracy, completeness, and timeliness of datasets used in quantitative modeling.
  • Document research processes, data provenance, and results with high standards of clarity and reproducibility
  • Collaborate with software engineers and traders to translate research into production-grade models and tools
  • Conduct quantitative research and analysis to support and enhance trading strategies 

Required Skills & Experience:

  • 3+ years of experience in a quantitative research or data-focused role in financial markets, ideally in a systematic trading environment
  • Proven experience working with a diverse range of trading and financial data
  • Must have previous knowledge of options markets and experience working with options data
  • Hands-on experience integrating and analyzing non-market data sources is a plus
  • Strong understanding of data vendor landscape
  • Advanced proficiency in Python
  • Experience with databases (SQL) and handling large datasets efficiently
  • Familiarity with real-time data systems and tick-level data processing
  • Familiarity with statistical and machine learning techniques
  • Exceptional attention to detail and a systematic approach to problem-solving
  • Strong written and verbal communication skills

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