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Data Source Jobs (NOW HIRING)

Guru Schools

Data Scientist Premium

Washington, DC · On-site

Data Scientist Premium I [USD] 4 DAYS ON SITE Data Source Analysis and Integration • Analyze existing data sources, including SharePoint Online (documents) and Databricks SQL Warehouse (structured ...

DRC Systems

Informatica Developer

Mclean, VA · On-site

$50 - $55/hr

Support client's data quality initiative by validating data movement across source and target systems within the data hub. This role leverages Informatica IDMC and Cloud Data Quality (CDQ) tooling to ...

Rezult Group, Inc

Sr. Data Engineer

Enterprise, AL

$90K - $109K/yr

Design, build, and maintain ETL/ELT pipelines to ingest and transform data from multiple enterprise source systems, including ERP, HCM, and operational platforms * Perform data modeling and prepare ...

TekWissen

SAP BW ABAP

New York, NY · On-site

$67.25 - $91/hr

NY Duration : 6 months • Need 7-9 years experienced SAP BW - ABAP senior developer who can work independently. • SAP BW experience in Info Object, Data Source, DSO, Info Cube, MultiProvider ...

Avani Technology Solutions, Inc.

Big Data Engineer

Renton, WA · On-site

$63 - $83.25/hr

Data Source - Epic (Clarity DB) * Mostly all structure data sets to ingest to lake * Large volume of data in some tables Please Fill up following details and send me back ASAP if you're interested in ...

Walmart

Data Analyst II

Bentonville, AR · On-site

$70K - $130K/yr

Understand product use cases and coordinate across organization to identifying best data source, analyze and profile the data for accuracy, completeness, and consistency. * Work with data modelers to ...

USM

Urgent Need Database Analyst

Tallahassee, FL · On-site

... data source repository Maintains and elaborates existing Informatica data source repository update/refresh processes Maintains and elaborates existing and new Informatica data profiling ...

USM

Database Analyst

Tallahassee, FL · On-site

... data source repository Maintains and elaborates existing Informatica data source repository update/refresh processes Maintains and elaborates existing and new Informatica data profiling ...

Neerinfo solutions

Scala Developer with spark

Denver, CO · On-site

$54.50 - $70.75/hr

Experience in working with Core Spark, Spark Streaming, Data Frame API, Data set API, Data Source API & Spark SQL * Experience in working with Apache Kafka, developing consumers & producers using ...

Neerinfo solutions

Scala Developer with spark

Denver, CO · On-site

$54.50 - $70.75/hr

Experience in working with Core Spark, Spark Streaming, Data Frame API, Data set API, Data Source API & Spark SQL * Experience in working with Apache Kafka, developing consumers & producers using ...

HireRight

Public Records - Source Analyst

Tulsa, OK

Ensures the data sources are consistent with HireRight quality standards and provides accurate ... Contribute to maintenance of source documentation while ensuring version control. * Interact with ...

Beyond SOF

Data Quality Analyst (TS/SCI)

Reston, VA · On-site

Leverage knowledge of defense and intelligence-related data source content to apply contextual expertise when submitting or prioritizing backlog requirements to contribute relevant perspective to ...

HireRight

Public Records - Source Analyst

Tulsa, OK · On-site +1

Ensures the data sources are consistent with HireRight quality standards and provides accurate ... Contribute to maintenance of source documentation while ensuring version control. * Interact with ...

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All JobsData Source Jobs

Data Source information

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$46K

$165K

$243.5K

How much do data source jobs pay per year?

As of Jun 10, 2026, the average yearly pay for data source in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Source, and why are they important?

To thrive as a Data Source, you need a comprehensive understanding of data collection, data integrity, and compliance with relevant data standards, often supported by experience in data management or information systems. Familiarity with database management systems, data warehousing tools, and data governance frameworks is typically required. Strong attention to detail, analytical thinking, and effective communication skills are essential soft skills for ensuring accurate and accessible data delivery. These abilities are crucial for maintaining data quality, supporting decision-making, and upholding organizational trust in information assets.

How do Data Source professionals typically collaborate with data engineers and analysts on large projects?

Data Source professionals play a key role in bridging the gap between raw data and actionable insights. They work closely with data engineers to ensure data is collected, integrated, and maintained accurately from multiple sources, while also collaborating with analysts to understand data requirements and support reporting needs. Regular communication and alignment meetings are common, and successful collaboration often involves clearly documenting data flows, troubleshooting data quality issues, and jointly developing data pipelines. This teamwork helps ensure that data is reliable, accessible, and tailored to the organization's analytical goals.

What is the difference between Data Source vs Data Analyst?

AspectData SourceData Analyst
Primary RoleProvides raw data for analysisInterprets and analyzes data to generate insights
Required SkillsData collection, database managementData analysis, visualization, reporting
Work EnvironmentData collection points, databases, data warehousesOffice, remote, analytics teams
CertificationsDatabase certifications, data managementExcel, SQL, data analysis certifications

In summary, a Data Source focuses on providing and managing raw data, while a Data Analyst interprets this data to support decision-making. Both roles are essential in the data ecosystem but serve different functions within the data workflow.

What are Data Sources?

Data sources are origins or locations from which data is obtained for analysis, reporting, or storage. They can include databases, spreadsheets, APIs, data warehouses, or even physical files. In technology and business contexts, a data source provides the raw information that systems and analysts use to make informed decisions or drive applications. Understanding the type and structure of a data source is crucial for effective data integration and management.
More about Data Source jobs
What states have the most Data Source jobs? States with the most job openings for Data Source jobs include:
What job categories do people searching Data Source jobs look for? The top searched job categories for Data Source jobs are:
Data Source jobs near you

Data Scientist Premium

Guru Schools

Washington, DC • On-site

Full-time

Posted 2 days ago

Job description

Overview:
Data Scientist Premium I [USD]
4 DAYS ON SITE
Data Source Analysis and Integration
• Analyze existing data sources, including SharePoint Online (documents) and Databricks SQL Warehouse (structured data).
• Design and implement methods for extracting and integrating data from these sources.
b. Data Enrichment Layer Design
• Develop techniques for text extraction, metadata standardization, and semantic enrichment.
• Design a scalable enrichment layer to process and enhance data for downstream AI/ML use.
c. Embedding Data Pipeline Development
• Build and automate ETL/ELT pipelines for embedding data in Vertex AI.
• Apply NLP and data processing techniques to ensure data is suitable for AI/ML models.
d. Documentation and Collaboration
• Prepare comprehensive technical documentation for all developed processes and pipelines.
• Collaborate with AI/ML teams to ensure enriched data meets project requirements.
3. Skills/Experience Required
• Bachelor's degree in computer science, data engineering, or related field with 3+ years of experience or Master's Degree in computer science, data engineering, or related field.
• Proven experience in data engineering and enrichment, especially with unstructured and structured data.
• Proficiency in Python, SQL, and cloud platforms (preferably GCP and Vertex AI).
• Experience with NLP techniques and data processing frameworks.
• Strong problem-solving, communication, and documentation skills.
Skills:
Python, SQL

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