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Data Sourcing Jobs (NOW HIRING)

Point72

Data Scientist

New York, NY · On-site

Prior experience as a data analyst, data sourcing specialist, or data scientist for a financial firm is a plus * Commitment to the highest ethical standards.

S4 Market Data

Market Data Analyst

Chicago, IL · On-site

The ideal candidate will have market data vendor management and administrative experience; sourcing and negotiating contracts, managing procurement/sourcing requests throughout the spend life cycle ...

ITech Recruiting

Data Modeler

Jersey City, NJ · On-site

$57.25 - $74/hr

... sourcing and data transformation, data loading, SQL, & end-user tools • Proficient in 3rd normal form relational modeling and/or dimensional modeling for data marts • Experience in physical data ...

Point72

Data Scientist

New York, NY

Prior experience as a data analyst, data sourcing specialist, or data scientist for a financial firm is a plus * Commitment to the highest ethical standards.

ZS

Data Strategy Manager

Princeton, NJ · On-site

The team advises clients on operating model, governance, data sourcing and generation, data management, value creation, technology enablement and compliance. We help diagnose current state, develop ...

Boeing

Data Integration Analyst

Ridley Park, PA · On-site

Coordinate and manage data sourcing activities, including discovery, access requests, and data sharing agreements as required. * Ensure data assets and integrations comply with enterprise data ...

Boeing

Data Integration Analyst

Seattle, WA

Coordinate and manage data sourcing activities, including discovery, access requests, and data sharing agreements as required. * Ensure data assets and integrations comply with enterprise data ...

Boeing

Data Integration Analyst

Arlington, VA

Coordinate and manage data sourcing activities, including discovery, access requests, and data sharing agreements as required. * Ensure data assets and integrations comply with enterprise data ...

Boeing

Data Integration Analyst

Arlington, VA

Coordinate and manage data sourcing activities, including discovery, access requests, and data sharing agreements as required. * Ensure data assets and integrations comply with enterprise data ...

Boeing

Data Integration Analyst

Seattle, WA · On-site

Coordinate and manage data sourcing activities, including discovery, access requests, and data sharing agreements as required. * Ensure data assets and integrations comply with enterprise data ...

Boeing

Data Integration Analyst

Saint Louis, MO

Coordinate and manage data sourcing activities, including discovery, access requests, and data sharing agreements as required. * Ensure data assets and integrations comply with enterprise data ...

Boeing

Data Integration Analyst

Mesa, AZ

Coordinate and manage data sourcing activities, including discovery, access requests, and data sharing agreements as required. * Ensure data assets and integrations comply with enterprise data ...

Apex Informatics

Teradata Developer

Charlotte, NC · On-site

Demonstrated data sourcing, data analysis and modeling skills with the ability to build innovative data provisioning models to support large scale financial crimes data sourcing initiatives. Work ...

ZS

Data Office Consultant

Princeton, NJ · On-site

$155K - $163K/yr

The team advises clients on operating model, governance data sourcing and generation, data management, value creation, technology enablement and compliance. In close collaboration with the Digital ...

Boeing

Data Integration Analyst

El Segundo, CA

Coordinate and manage data sourcing activities, including discovery, access requests, and data sharing agreements as required. * Ensure data assets and integrations comply with enterprise data ...

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Data Sourcing information

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How much do data sourcing jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for data sourcing in the United States is $40.15, according to ZipRecruiter salary data. Most workers in this role earn between $22.12 and $53.85 per hour, depending on experience, location, and employer.

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

To thrive in Data Sourcing, you typically need strong analytical skills, attention to detail, and a background in data management or business analysis. Familiarity with data sourcing tools such as SQL, Python, Excel, various databases, and sometimes certifications like Certified Data Management Professional (CDMP) are highly valued. Excellent communication, problem-solving, and organizational skills help professionals build reliable external and internal data partnerships. These abilities are vital for ensuring the consistent acquisition, validation, and integration of high-quality data essential to organizational decision-making.

What is a Data Sourcing job?

A Data Sourcing job involves identifying, collecting, and managing data from various sources to support business decisions, analytics, or machine learning models. Professionals in this role assess data quality, negotiate data acquisition terms, and ensure compliance with privacy regulations. They work with internal and external stakeholders to acquire relevant datasets efficiently. Strong analytical and research skills are essential for success in this position.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst, as the role values skills such as data analysis, programming, and statistical knowledge, which can be acquired through training or certifications at any age. Many professionals successfully transition into data analysis later in their careers by gaining relevant skills and experience, making age less relevant than technical competence and continuous learning.

What jobs pay 500,000 a year?

In data sourcing and related fields, high-paying roles such as data science executives, chief data officers, and senior data strategists can earn $500,000 or more annually, especially with extensive experience, advanced skills in analytics and machine learning, and leadership responsibilities. These positions often require advanced degrees, certifications, and a track record of impactful data-driven decision-making.

What are the typical daily responsibilities of someone working in Data Sourcing?

As a Data Sourcing professional, your daily tasks often include identifying and evaluating new data sources, negotiating and managing vendor relationships, and ensuring that all data acquired meets quality and compliance standards. You may also collaborate closely with data analysts, procurement teams, and IT departments to integrate sourced data into existing systems and workflows. Regular updates, documentation, and quality checks are part of the routine to maintain the integrity and reliability of information used across the organization. This role is dynamic and detail-oriented, offering valuable experience in both data strategy and stakeholder engagement.

What is data sourcing?

Data sourcing in a job context involves identifying, collecting, and acquiring relevant data from various internal or external sources to support analysis, decision-making, or business operations. It often requires skills in research, data management, and familiarity with tools like databases or data extraction software.

What is a data sourcing job description?

A data sourcing job involves identifying, collecting, and verifying data from various sources to support business analysis, research, or decision-making. It often requires skills in research, data management, and familiarity with tools like spreadsheets or databases. The role may also involve ensuring data quality and compliance with privacy standards.
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Data Sourcing jobs near you

Data Engineer (Python, Bloomberg Terminal)

SysMind Tech

Manhattan, NY • On-site

$125K - $150K/yr

Full-time

Posted 25 days ago

Job description

As a Data Engineer you will primarily collaborate closely with our clients leading global persondge fund on data engagements. Partner with data strategy and sourcing team on data requirements to design data pipelines and delivery structures.
Location: New York
100% Onsite
Key Responsibilities
  • Design, develop, and maintain scalable and efficient data pipelines and ETL processes.
  • Work closely with outside vendors and internal teams (data sourcing, engineering, and QRs) to backfill historical market data and security master data (many thousands of tickers, across decades)
  • Write data loaders, bring in data, run DQ checks on data, and work with vendors and internal teams to resolve DQ checks
  • Implement best practices for data quality, consistency, and governance across various data sources and systems.
  • Implement best practices in Data Engineering to drive innovation and enhance our platform as we scale.
  • Manage day-to-day operations in a fast-paced environment.

Key Competencies
  • Bachelor's or master's degree in computer science, Engineering, or a related field.
  • Material experience working with market and security master data at scale (thousands of tickers, decades of data) to identify issues and propose and implement systematic solutions
  • 5+ year of Python scripting experience
  • Academic degree in quantitative field (e.g., Math, Computer Science)
  • Strong analytic and problem-solving capabilities; detail oriented
  • Strong communication skills and ability to interact with numerous stakeholders
  • Ability to work independently in a fast-paced environment
  • Experience with Bloomberg / Eikon Terminals
  • Key Metrics:
  • Python, SQL, Data Quality
  • ETL, Data pipelines, Exposure to Market Data and Security Master

Apply