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Data Centric Jobs (NOW HIRING)

Dyna Robotics

AI Data Strategist

Redwood City, CA · On-site

$148K - $192K/yr

Required : • 4-8+ years of experience working in AI/ML, robotics, autonomy, or data-centric systems roles. • Proven experience defining data quality standards, evaluation frameworks, annotation ...

Solvarus

Enterprise Data Systems Engineer

Chantilly, VA · On-site

$110K - $137K/yr

This role requires a strong understanding of systems engineering principles, data centric architecture approaches, acquisition processes, agile Software Development lifecycles, and the ability to ...

Numeric

Data Analyst

Sunnyvale, CA · On-site

Demonstrated ability to initiate and drive tasks independently within a data-centric environment. * Data Querying Proficiency: Strong command in querying data within AWS, navigating complex joins ...

Dyna Robotics

AI Data Strategist

Redwood City, CA · On-site

$148K - $192K/yr

Required : • 4-8+ years of experience working in AI/ML, robotics, autonomy, or data-centric systems roles. • Proven experience defining data quality standards, evaluation frameworks, annotation ...

Ford Motor Company

Data / Information Architect

Dearborn, MI · On-site

$58.75 - $75.50/hr

As a Data/Information Architect, you'll be responsible for designing and implementing a robust and scalable data strategy based on data-centric principles. You will also guide the implementation of ...

University Health

Data Analytics Manager

San Antonio, TX

$36.66 - $60.70/hr

Extensive project management experience leading complex data-centric projects involving multiple stakeholders is required. Demonstrated proficiency in health plan data analytics products is required.

Solvarus

Enterprise Data Systems Engineer

Chantilly, VA · On-site

$110K - $137K/yr

This role requires a strong understanding of systems engineering principles, data centric architecture approaches, acquisition processes, agile Software Development lifecycles, and the ability to ...

University Health

Data Analytics Manager

San Antonio, TX · On-site

$36.66 - $60.70/hr

Extensive project management experience leading complex data-centric projects involving multiple stakeholders is required. Demonstrated proficiency in health plan data analytics products is required.

GDH

Cloud & Data Engineering Manager

Houston, TX · On-site

$60 - $72/hr

Lead delivery of full-stack, cloud, and data-centric client engagements, managing scope, timelines, risks, and outcomes * Partner with client stakeholders to identify technical and business ...

New

Staffingine LLC

Data Testing Manager

Irvine, CA · On-site

Required Skills & Experience: * 10+ years of experience in software testing with a focus on data-centric projects. * Proven experience in Master Data Management (MDM) initiatives (modernization or ...

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Showing results 21-40

All JobsData Centric Jobs

Data Centric information

See salary details

$23K

$82.5K

$149.5K

How much do data centric jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data centric in the United States is $82,509.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,500.00 and $117,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data centric professional?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and typically a degree in mathematics, computer science, or a related field. Experience with data visualization tools (like Tableau or Power BI), programming languages (such as Python or R), and database systems (like SQL) is often required. Attention to detail, critical thinking, and clear communication are essential soft skills for interpreting data and presenting findings effectively. These skills are crucial for transforming raw data into actionable insights that drive business decisions.

What is the difference between Data Centric vs Data Analyst?

AspectData CentricData Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related fields; often certifications in data managementBachelor's in Statistics, Mathematics, or related fields; sometimes certifications in data analysis tools
Work EnvironmentFocus on data infrastructure, databases, and data governance within organizationsFocus on analyzing data sets, creating reports, and providing insights
Employer & Industry UsageUsed across industries for managing data systems and architectureCommonly employed in business, finance, marketing, and healthcare for data interpretation

Data Centric roles focus on managing and optimizing data infrastructure, while Data Analysts interpret data to support decision-making. Both roles require strong analytical skills but differ in their core responsibilities and work environments.

How does a data centric professional typically collaborate with cross-functional teams to drive data-driven decision-making?

Data Centric professionals often serve as a bridge between technical data teams and business units, translating business needs into data requirements and actionable insights. They frequently participate in meetings with product managers, engineers, and analysts to ensure data is accurately collected, processed, and interpreted for strategic decisions. Effective collaboration involves clear communication, data visualization, and a strong understanding of both the data infrastructure and business objectives. This cross-functional approach helps organizations harness the full potential of their data assets while fostering a data-driven culture.

What does a data centric professional do?

A Data Centric professional focuses on managing, organizing, and leveraging data as a core asset within an organization. They ensure that data is accurate, accessible, and secure, often working on data architecture, governance, and integration. Their role is crucial in enabling data-driven decision-making by aligning data strategies with business goals. Data Centric professionals may collaborate with IT, analytics, and business teams to optimize how data flows and is utilized throughout the company.
More about Data Centric jobs
What states have the most Data Centric jobs? States with the most job openings for Data Centric jobs include:
What job categories do people searching Data Centric jobs look for? The top searched job categories for Data Centric jobs are:
Data Centric jobs near you
Infographic showing various Data Centric job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,509 per year, or $39.7 per hour.

Senior Data Scientist - Data for Perception Machine Learning

Zoox

Foster City, CA

$190K - $258K/yr

Full-time

Medical, Life, PTO

Re-posted 14 days ago

Job description

We are seeking an experienced and highly skilled data scientist to join the Perception Data and Labeling team.. The team is responsible for training and evaluation data powering the perception (vision, lidar, and other modalities) ML models at Zoox. The candidate will work alongside data ops partners, ML engineers, software developers, and data engineers to improve model performance through high quality human- and auto-labeled data.
In this role, you will:
  • Define and implement scalable data quality measures across complex, multimodal data labeling pipelines
  • Drive data-centric ML model improvements to achieve critical Zoox milestones
  • Support an org-wide data ontology and class structure for perception models
  • Determine trade-offs and integrations between human-labeled, human-in-the-loop, and zero-shot autolabeled data
  • Build metrics to quantify labeling throughput, capacity, and annotator/vendor quality
Qualifications:
  • Master's or PhD degree in a field relevant to autonomous driving (computer science, robotics) to the analysis of human data (computational neuroscience, cognitive science) or a related field
  • Proficient using data query languages (SQL and/or Spark/scala) to quickly build complex yet efficient data queries at scale and using Python to build production-quality code
  • Proficient in exploratory data analysis (EDA) and data visualization to understand and present trends and their implications for the business.
  • Background in statistical modeling and analysis; including experience making data-driven decisions that connect point and uncertainty estimates to business impact.
  • Experience with data-centric ML development and data curation
Bonus Qualifications:
  • Experience with experiment design and statistical comparisons (A/B testing, parametric/non-parametric statistics, etc.)
  • Experience with human data collection, including annotation task design
$190,000 - $258,000 a year
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
 
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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