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Data Source Jobs (NOW HIRING)

Dir Data and Projects

Manhattan, NY ยท On-site

$151K - $225K/yr

Serve as liaison between teams and clients to help transform how open source and alternative data is used for A&M clients. Collaborate closely with technical teams to define and refine requirements ...

Serve as liaison between teams and clients to help transform how open source and alternative data is used for A&M clients. Collaborate closely with technical teams to define and refine requirements ...

SAP BW ABAP

New York, NY ยท On-site

$67.25 - $91/hr

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

Scrum Master - Data focus

Dallas, TX ยท On-site

$51 - $68/hr

Identify, communicate, and remove impediments specifically in data workflows (e.g. data source issues, ETL/ELT blockers, dependencies, tooling constraints). * Coach teams in Agile best practices ...

Big Data Engineer

Renton, WA ยท 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 ...

Informatica Developer

Mclean, VA ยท 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 ...

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

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

Scala Developer with spark

Denver, CO

$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 ...

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 ...

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 ...

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 ...

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 ...

Scala Developer with spark

Denver, CO ยท 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 ...

Proficiency with enterprise BI tools including data source integration; Power BI, Report Builder, Tableau preferred * Ability to translate between technical and business audiences; strong ...

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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Data Source information

See salary details

$46K

$165K

$243.5K

How much do data source jobs pay per year?

As of Jul 22, 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:
Infographic showing various Data Source job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Dir Data and Projects

Dir Data and Projects

Alvarez & Marsal

Manhattan, NY โ€ข On-site

$151K - $225K/yr

Full-time

Posted 24 days ago


Job description

Description
Title: Dir Data and Projects
Employer: Alvarez & Marsal Private Equity Performance Improvement Group LLC
Location: New York, NY
Salary Range: $151,000 - $225,000
Job Description:
Ensure projects adhere to budget, schedule and scope. Oversee bespoke client projects from inception through delivery, managing expectations, project timelines, and ensuring superior outcomes. Serve as liaison between teams and clients to help transform how open source and alternative data is used for A&M clients. Collaborate closely with technical teams to define and refine requirements, particularly for complex processes such as entity resolution, integration workflows, and feature engineering. Ensure consistent alignment between project strategies and the overall product roadmap. Interact with clients and translate their needs into deal idea generation dashboards and other value add products. Actively participate in weekly product and data roadmap sessions and sprint planning, providing guidance, timelines, and implementation risks. Provide input to vendor expenses, forecasting specifically related to data acquisition, and resource allocation. Conduct quarterly competitive analyses and market evaluations within the client data landscape, ensuring the practice consistently leads to data comprehensiveness, innovation, and relevance. Serve as a key liaison, clearly communicating strategic objectives, KPIs, and project performance expectations. Support go-to-market activities by contributing to data driven strategies and producing insightful analysis tailored to prospective client needs and market trends.
Minimum Requirements:
Bachelor's degree or foreign equivalent in Management Info Systems, IT, or Business Administration, and minimum five years of experience in any occupation involving leading IT projects or data related initiatives. Must have experience with the following: performing data cleaning and analysis using advanced functions to create client ready reports; using SQL to visualize performance, metrics and answer data related questions to internal stakeholders; identifying and specifying string match patterns using RegEx; using SQL to extract and manipulate data to filter, join, aggregate, and clean datasets as well as perform data quality checks; using DBeaver or Redash to perform exploratory data analysis and create linkage between multiple tables; and Public data source experience with government filings such as SEC Form D, and similar datasets from U.S. federal agencies, used to extract relevant data points.
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