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Data Processing Manager Jobs in Santa Rosa, CA (NOW HIRING)

Maintain CRM-style tracking of outreach, engagements, and deal status across priority providers ... Comfortable navigating ambiguity and building processes from scratch. * High ownership: proactive ...

Finance Manager, IH&S LOCATION: Remote Who is IDEX Health & Science (IH&S)? As a business unit of ... Focused on assisting partners at every stage of the development processes, we invest in people and ...

Data Engineer (Founding Team)

Bodega Bay, CA · On-site

$135K - $163K/yr

Create and manage data contracts, access layers, lineage, and governance mechanisms * Build and ... Comfortable processing unstructured data formats: PDFs, Excel, emails, logs, CSVs, web APIs

... management, and product & business intelligence . What You'll Do * Maximize the value of ... Refine data processes, set up tools, and create automation to improve operational efficiency.

Quality Control Manager

Sonoma, CA · On-site

$100K - $153K/yr

Position Summary The Manager, Quality Control provides leadership for production quality ... Experience with statistical process control (SPC), data analytics, and quality trend analysis.

Design and developing services and pipelines that support rapid data ingestion, processing, and ... Managing individual project priorities, deadlines and deliverables * Successfully launching and ...

Excellent skills in data processing (SQL, ETL, data warehousing) and experience working with large-scale data systems. * Experience with machine learning model lifecycle management tools, and an ...

Showing results 21-40

Data Processing Manager information

See Santa Rosa, CA salary details

$37.7K

$57.4K

$74.9K

How much do data processing manager jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data processing manager in Santa Rosa, CA is $57,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,500.00 and $68,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data processing manager?

To thrive as a Data Processing Manager, you need expertise in data management, analysis, and process optimization, typically supported by a degree in computer science, information systems, or a related field. Familiarity with database management systems (DBMS), ETL tools, and data governance frameworks, along with certifications like Certified Data Management Professional (CDMP), is often required. Strong leadership, problem-solving, and communication skills help you effectively lead teams and collaborate across departments. These skills are crucial for ensuring data integrity, efficient workflows, and informed decision-making within an organization.

What are the typical challenges faced by a data processing manager when overseeing large-scale data projects?

Data Processing Managers often encounter challenges such as ensuring data quality and consistency across multiple sources, managing tight project deadlines, and coordinating with cross-functional teams like IT, analytics, and compliance. They must stay updated on evolving data processing technologies while maintaining security and privacy standards. Effective communication and adaptability are essential, as priorities may shift quickly based on organizational needs or data integrity issues.

What does a data processing manager do?

A data processing manager oversees the collection, organization, and analysis of data within an organization. They coordinate data workflows, ensure data quality, and implement processing systems using tools like SQL, Python, or data management software. Strong leadership, technical skills, and understanding of data security are essential for this role.

What cities near Santa Rosa, CA are hiring for Data Processing Manager jobs?

Cities near Santa Rosa, CA with the most Data Processing Manager job openings:

Infographic showing various Data Processing Manager job openings in Santa Rosa, CA as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $57,399 per year, or $27.6 per hour.

Applied Data Scientist

Keysight Technologies, Inc.

Santa Rosa, CA • On-site

$117K - $196K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago


Keysight Technologies rating

8.1

Company rating: 8.1 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

52nd of 161 rated electronics manufacturers


Job description

Overview
Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.
Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
As an Applied Data Scientist, you'll operate at the intersection of data engineering, data science, and machine learning. You'll design and implement large-scale data architectures, develop robust data pipelines, and build high-quality ML models that integrate simulation and measurement data from diverse domains.
Your work will directly influence Keysight's advanced R&D initiatives, from algorithm development to AI-assisted engineering tools.
Responsibilities
  • Partner with internal engineering and data teams to identify key data sources, define feature requirements, and align data standards across organizations.
  • Design, implement, and maintain data lakes, databases, and ETL/ELT pipelines (Snowflake, Databricks, SQL, Python).
  • Integrate, clean, and align simulation, measurement, and operational data for scalable AI/ML model development.
  • Conduct exploratory data analysis, dimensionality reduction (e.g., PCA), clustering, and regression to extract insights.
  • Develop and validate ML models using tree-based methods (XGBoost, LightGBM, Random Forests) and Bayesian Optimization for tuning.
  • Apply signal processing and data augmentation techniques to improve data quality and coverage.
  • Document data lineage, feature definitions, and modeling rationale for reproducibility and transparency.
  • Communicate insights and recommendations to stakeholders, influencing data-driven decisions across R&D and product teams.

Qualifications
  • Master's or PhD in Data Science, Computer Science, Electrical Engineering, Statistics, or related field.
  • 1+ years' experience as a Data Scientist / Applied Data Scientist
  • Proven ability to build and maintain scalable data infrastructures (data lakes, schemas, pipelines).
  • Strong programming skills in Python (pandas, numpy, scikit-learn), SQL, and optionally C++.
  • Proficiency with Snowflake, Databricks, or similar big-data environments.
  • Hands-on expertise in tree-based ML techniques and statistical modeling.
  • Familiarity with Bayesian Optimization and feature engineering for time-series or signal data.
  • Ability to move fluidly between data exploration, engineering, and modeling tasks.

Desired Qualifications
  • Experience in data architecture design, schema governance, or cross-team data standards.
  • Knowledge of MLOps principles for productionizing models and maintaining pipelines.
  • Experience with metadata management and feature store design.
  • Prior exposure to environments combining simulation and real-world measurement data.

Careers Privacy Statement
Keysight Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.
The level of role and salary will be based on applicable experience, education and skills; Most offers will be between the minimum and the midpoint of the Salary Range listed below.
California Pay Range: MIN $117,750- MAX $196,250
Colorado Pay Range: MIN $109,030 - MAX $181,720
Note: For other locations, pay ranges will vary by region.
US Employees may be eligible for the following benefits:
- Medical, dental and vision
- Health Savings Account
- Health Care and Dependent Care Flexible Spending Accounts
- Life, Accident, Disability insurance
- Business Travel Accident and Business Travel Health
- 401(k) Plan
- Flexible Time Off, Paid Holidays
- Paid Family Leave
- Discounts, Perks
- Tuition Reimbursement
- Adoption Assistance
- ESPP (Employee Stock Purchase Plan)

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