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Data Organization Jobs (NOW HIRING)

Intrepidgs

Data Warehousing Administrator

Mclean, VA

Coordinating data organization refactoring at different scales * Manage user accounts and access control * 2 years of experience managing a data warehouse for a sizable team * Experience in managing ...

Intrepid

Data Warehousing Administrator

Mclean, VA · On-site

Coordinating data organization refactoring at different scales * Manage user accounts and access control * 2 years of experience managing a data warehouse for a sizable team * Experience in managing ...

First Stop Health

Director, Data Enablement

They are seeking a Director, Data Enablement to lead the operational backbone of their data organization, overseeing the full data product lifecycle and ensuring data quality and governance in a ...

New

Apple

Applied AI Engineer - iCloud Data

Cupertino, CA

$181K - $318K/yr

Description The iCloud Data organization within Apple Services enables iCloud users to access all their content across apps (Photos, Mail, Messages, FaceTime, Calendar, Enterprise & Education etc) on ...

Apple

Applied AI Engineer - iCloud Data

Cupertino, CA

$181K - $318K/yr

Description The iCloud Data organization within Apple Services enables iCloud users to access all their content across apps (Photos, Mail, Messages, FaceTime, Calendar, Enterprise & Education etc) on ...

CFS

Data Entry Specialist

Pittsburgh, PA · On-site

$16.50 - $22/hr

Data Entry Specialist 📍 Pittsburgh, PA 15201 (Open to Part-Time or Full-Time) 💲 $23-25 ... About the Organization * Mission-driven nonprofit supporting human services and retail programs

GitLab

Vice President, Data & Insights

GitLab enables organizations to increase developer productivity, improve operational efficiency ... Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune ...

Apollo ITS

Business Data Management Architect

Richmond, VA · On-site

$63 - $81.25/hr

This position requires defining and utilizing taxonomies for enhanced data organization, classification, and retrieval, contributing to improved metadata management. You will need to become familiar ...

United IT

Senior Cloud Data & AI Architect

Dallas, TX · On-site

$66.75 - $89.50/hr

Set data and AI strategy for data organization. * Establish data quality, lineage, and metadata standards * Ensure compliance with privacy, security, and regulation * Drive adoption of responsible AI ...

Xforia, Inc.

Sr. Data Engineer

Dallas, TX · On-site

$105K - $126K/yr

... organization, storage, and processing. • Lead and mentor a team of data engineers and data scientists. • Provide technical guidance and support to ensure the team's success. • Oversee the ...

Mecka AI

Human Data Architect, Quality

New York, NY · On-site

$130K - $160K/yr

Ontology & Data Organization * Own the taxonomy, schema, and class hierarchies for robotics datasets - how attributes are structured, how temporal segmentation works, how event boundaries are defined ...

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Data Organization information

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How much do data organization jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for data organization in the United States is $39.62, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $62.02 per hour, depending on experience, location, and employer.

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

To thrive in a Data Organization role, you need strong analytical skills, attention to detail, and experience with data management practices, typically supported by a degree in information science, computer science, or a related field. Familiarity with database software such as SQL, data visualization tools, and proficiency in Excel or data management platforms are commonly required, while certifications like Certified Data Management Professional (CDMP) can be advantageous. Excellent organizational, problem-solving, and communication skills help facilitate effective collaboration across teams and ensure data quality. These skills are crucial for maintaining accurate, accessible, and secure data, directly impacting business decision-making and operational efficiency.

What is a Data Organization job?

A Data Organization job involves structuring, managing, and maintaining data to ensure its accuracy, accessibility, and usability. Professionals in this role work with databases, metadata, and data governance practices to optimize information flow and retrieval. They may also clean, categorize, and integrate data from various sources to support business operations and decision-making. Strong analytical skills, attention to detail, and proficiency with data management tools are essential for success in this role.

What are some typical responsibilities I can expect in a Data Organization position?

In a Data Organization role, you will typically be responsible for structuring, maintaining, and ensuring the accuracy and integrity of large datasets. This often includes tasks such as data cleansing, standardizing formats, updating records, and organizing information to support business analysis or reporting needs. You may also work closely with cross-functional teams, providing data support, troubleshooting data issues, and helping to implement data governance policies. These responsibilities are essential to keep organizational data reliable and easily accessible for those who need it.

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Data Organization jobs near you
Infographic showing various Data Organization job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,401 per year, or $39.6 per hour.
Senior Data Scientist, ASE iCloud Data Organization

Senior Data Scientist, ASE iCloud Data Organization

Apple

Cupertino, CA • On-site

Full-time

Posted 4 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 662 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Would you like to help shape the future of Apple's products and platforms while impacting some of the most widely used software in the world? The Apple Services Engineering (ASE) organization drives innovation behind Apple's cloud-based experiences for over a billion global users - including iCloud+, Photos, Mail, Messages, FaceTime, Calendar, and Notes. We build the infrastructure and intelligence that enable Apple's ecosystem to deliver seamless, privacy-first experiences every day.
The ASE Data Organization plays a central role in this mission by embedding data-informed thinking into every decision. Partnering with product, engineering, and business teams, we combine analytical rigor, product acumen, and technical depth to generate insights, measure impact, and guide strategy across iCloud and related services.
Description
We are seeking an experienced Senior Data Scientist to drive high-impact analytics for iCloud and Apple's cloud services. You will collaborate across engineering, product, and business teams to uncover opportunities, optimize user experiences, and influence decisions at global scale.
This role calls for a balance of technical depth, strategic thinking, and strong communication. You'll deliver insights that shape the trajectory of Apple Services, lead complex analytical projects, and expand a culture of data-informed decision-making across ASE.
Minimum Qualifications
7+ years of experience in data analytics or data science, with 5+ years in data science applying statistical modeling, or Machine Learning in production.
Proven ability to influence cross-functional initiatives and shape product or business strategy using data-informed insights.
Strong communicator skilled at framing complex technical concepts for senior and executive audiences.
Deep expertise in product analytics, launch reporting, and impact measurement.
Proficiency in SQL and at least one programming language (Python, R, etc.), with strong statistical and experimental design foundations.
Ability to structure ambiguous problem spaces, prioritize effectively, and deliver actionable insights.
Exposure to applying generative AI or ML-based agents (ex. Claude) to automate analytical workflows and build data products.
Preferred Qualifications
Advanced degree in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, Economics, or related discipline).
Practical experience with experimentation (A/B testing, Multi-armed bandit) and advanced causal inference methods (e.g., matched markets, synthetic controls).
Hands-on experience with large-scale data ecosystems (Hive, Spark, Presto, etc.) and building scalable, reproducible analytical pipelines.
Demonstrated success influencing or leading projects within matrixed, cross-functional environments.

What Apple employees say

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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