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Data Organization Jobs in Austin, TX (NOW HIRING)

Compass

Senior Lead Data Scientist

Austin, TX · On-site

$204K - $226K/yr

You will facilitate cross-organizational collaboration, orchestrate efforts across multiple teams, and advise management on complex technical and strategic decisions. Responsibilities: * Lead the ...

ForeFlight

Chief Engineer, Global Data

Austin, TX · On-site +1

$208K - $255K/yr

About The Role We are looking for a Chief Engineer, Global Data to serve as a senior technical leader for our Global Data organization. This role will partner directly with Global Data leadership to ...

Charles Schwab

Manager, Data Management

Austin, TX · On-site

The Schwab Data organization collectively focuses on data strategy, data analytics, data science, data governance, and data engineering, while simultaneously enhancing data impact and data safety for ...

Charles Schwab Inc.

Data Engineering Lead

Austin, TX · On-site

$145K - $165K/yr

Drive Agile development supporting organization priorities and innovation. * Hands-on development ... Expertise in ETL development, Data Architecture, Data Modeling, Data Quality, Best Practices ...

Compass

Senior Lead Data Scientist

Austin, TX · On-site

$204K - $226K/yr

You will facilitate cross-organizational collaboration, orchestrate efforts across multiple teams, and advise management on complex technical and strategic decisions. Responsibilities: * Lead the ...

Charles Schwab Inc.

Manager, Data Management

Austin, TX · On-site

$93K - $135K/yr

The Schwab Data organization collectively focuses on data strategy, data analytics, data science, data governance, and data engineering, while simultaneously enhancing data impact and data safety for ...

Charles Schwab

Data Engineering Lead

Austin, TX · On-site

Drive Agile development supporting organization priorities and innovation. * Hands-on development ... Expertise in ETL development, Data Architecture, Data Modeling, Data Quality, Best Practices ...

Charles Schwab

Sr Manager, Data Management

Austin, TX · On-site

The Schwab Data organization collectively focuses on data strategy, data analytics, data science, data governance, and data engineering, while simultaneously enhancing data impact and data safety for ...

Charles Schwab Inc.

Sr Manager, Data Management

Austin, TX · On-site

$112K - $160K/yr

The Schwab Data organization collectively focuses on data strategy, data analytics, data science, data governance, and data engineering, while simultaneously enhancing data impact and data safety for ...

Rugietmen

Director of Data (Remote)

Austin, TX · On-site

$200 - $250/hr

If you want to build a modern data organization from the ground up, influence product experiences, and shape how nine figures of marketing spend gets deployed -- this is the rare role where your work ...

Rugiet Health

Director of Data (Remote)

Austin, TX

If you want to build a modern data organization from the ground up, influence product experiences, and shape how nine figures of marketing spend gets deployed -- this is the rare role where your work ...

Rugiet Health

Director of Data (Remote)

Austin, TX · On-site +1

If you want to build a modern data organization from the ground up, influence product experiences, and shape how nine figures of marketing spend gets deployed - this is the rare role where your work ...

Honor

Staff Data Platform Engineer

Austin, TX · Remote

Provide technical leadership, architectural guidance, and mentorship across the data organization ... Influence long-term platform strategy and engineering best practices across multiple teams. What We ...

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Data Organization information

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How much do data organization jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for data organization in Austin, TX is $38.87, according to ZipRecruiter salary data. Most workers in this role earn between $15.57 and $60.85 per hour, depending on experience, location, and employer.

What is a data organization?

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.

What are the key skills and qualifications needed to thrive in a 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 are the most commonly searched types of Data Organization jobs in Austin, TX?

The most popular types of Data Organization jobs in Austin, TX are:

What are popular job titles related to Data Organization jobs in Austin, TX?

For Data Organization jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Data Organization jobs in Austin, TX look for?

The top searched job categories for Data Organization jobs in Austin, TX are:

Data Organization jobs near you
Infographic showing various Data Organization job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $80,851 per year, or $38.9 per hour.

Senior Lead Data Scientist

Compass

Austin, TX • On-site

$204K - $226K/yr

Full-time

Posted 19 days ago

Compass Real Estate rating

9.3

Company rating: 9.3 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

5th of 209 rated real estate companies

Job description

About the Role:

We are seeking an exceptional Senior Lead Data Scientist to lead large-scale, cross-functional initiatives that are critical to Compass. In this role, you will have mastery over major organizational problems and solution spaces, delivering with complete independence and maintaining accountability for strategic intent and results. You will facilitate cross-organizational collaboration, orchestrate efforts across multiple teams, and advise management on complex technical and strategic decisions. 

Responsibilities:

  • Lead the execution of large, cross-functional initiatives where both the problem and solution approach are not well-defined.
  • Orchestrate efforts across multiple teams, managing dependencies and setting realistic timelines for high-impact projects.
  • Foster a culture of shared ownership across teams and translate cutting-edge industry research into practical, scalable solutions for the company.
  • Define and roll out new processes, methodologies, and best practices across the entire Data organization.
  • Mentor senior-level data scientists across the organization and act as a trusted advisor to executive leadership.

Qualifications:

  • Master's degree or PhD in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics) with 8+ years of professional data science experience.
  • Deep expertise in multiple complex data science areas, such as XGBoost, deep learning, and NLP.
  • Proven experience as a technical lead, defining and driving strategic initiatives for multiple teams simultaneously.
  • Mastery of advanced Python and SQL for large-scale data manipulation, analysis, and architectural design.
  • Expertise in evaluating and selecting cutting-edge methodologies to solve highly ambiguous business problems.
  • Demonstrated experience designing and implementing robust MLOps pipelines for large-scale model deployment and monitoring.
  • Proven ability to define and enforce clean code standards and software engineering best practices across teams.
  • Experience mentoring and developing senior-level data scientists to foster growth and technical excellence.
  • Exceptional communication skills with a track record of serving as a trusted advisor to organizational leadership.

Compensation: The base pay range for this position is $204,000-$226,700 annually; however, base pay offered may vary depending on job-related knowledge, skills, and experience. Bonuses and restricted stock units may be provided as part of the compensation package, in addition to a full range of benefits. Base pay is based on market location. Minimum wage for the position will always be met.

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