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Data Processing Manager Jobs in Mukilteo, WA (NOW HIRING)

Amazon

Data Engineer, Partner Experience

Seattle, WA · On-site

$130K - $156K/yr

... processing and data handling. Meet with peers to discuss proposed solutions. Review design documents with product managers, senior management, and Senior SDEs to communicate your approach and gather ...

Pwc

Data Engineer - Senior Manager

Seattle, WA · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

TerraPower

Data Architect

Bellevue, WA · On-site

$71.50 - $92/hr

... metadata management framework • Develop and enforce data classification standards in ... process monitoring frameworks to ensure the health, reliability, and lineage of data across the ...

Pwc

AI & GenAI Data Scientist - Manager

Seattle, WA · On-site

$99K - $232K/yr

As a Manager, you will enhance your leadership style by motivating, developing, and inspiring ... Data Processing/Analytics/Science, Artificial Intelligence and Robotics - At least one of the ...

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All JobsData Processing JobsData Processing Manager JobsData Processing Manager Jobs in Mukilteo, WA

Data Processing Manager information

See Mukilteo, WA salary details

$38.8K

$59K

$76.9K

How much do data processing manager jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data processing manager in Mukilteo, WA is $58,970.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,700.00 and $70,200.00 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 are popular job titles related to Data Processing Manager jobs in Mukilteo, WA?

For Data Processing Manager jobs in Mukilteo, WA, the most frequently searched job titles are:

What job categories do people searching Data Processing Manager jobs in Mukilteo, WA look for?

The top searched job categories for Data Processing Manager jobs in Mukilteo, WA are:

What cities near Mukilteo, WA are hiring for Data Processing Manager jobs?

Cities near Mukilteo, WA with the most Data Processing Manager job openings:

Data Processing Manager jobs near you
Infographic showing various Data Processing Manager job openings in Mukilteo, WA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 16% Part Time, and 1% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $58,970 per year, or $28.4 per hour.

Principal Product Manager - Snowpark

Snowflake

Bellevue, WA • On-site

$264K - $379K/yr

Full-time

Re-posted 11 days ago

Job description

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
ABOUT THE ROLE
Snowpark is how developers run distributed Python, Java, and Scala workloads directly on the Snowflake platform - securely, at scale, and without moving data. It is one of Snowflake's most differentiated and fastest-growing products, and as workloads become agent-driven - where Python is the default - its growth is only accelerating. Having expanded from structured data into semi-structured and ETL workloads, Snowpark is now entering its most exciting phase: unstructured, multimodal, and agentic AI data processing.
We are looking for a Principal Product Manager to own Snowpark and lead this next chapter. This is a general-manager-style role: you will own the strategy, growth, and go-to-market for a critical product line, acting as an entrepreneur with the autonomy to propose and launch multiple 0→1 bets on top of an already highly successful product. You will be the most senior PM on the product, with a clear path to lead the Snowpark PM team as you demonstrate impact.
AS A PRINCIPAL PM AT SNOWFLAKE, YOU WILL:
  • Define the Mission: Own the end-to-end, multi-year strategy and roadmap for Snowpark as the standard for distributed Python, Java, and Scala processing on the data platform.
  • Lead the 0→1: Drive the expansion into unstructured/multimodal data processing and agentic, Python-based data engineering - the greenfield bets that open new markets for Snowflake.
  • Own the Platform: Own ML and AI inference workloads, Python expansion areas, batch pipelines, and the core Snowpark surface - execution engine, security, and governance.
  • Drive Go-To-Market: Act as a GM for the product, partnering with Sales, Sales Engineering, and Marketing to accelerate adoption and growth.
  • Collaborate Across Boundaries: Partner with engineering, ecosystem, and orchestration teams (e.g., Airflow integrations) to define the end-to-end Snowpark experience.
  • Be the Go-To Expert: Become the definitive voice on Snowpark - internally for engineering and SEs, and externally for customers.

OUR IDEAL CANDIDATE HAS:
  • 8+ years of Product Management experience in developer platforms, data infrastructure, or cloud infrastructure.
  • Technical Robustness: Deep familiarity with the Python ecosystem and distributed data processing at scale. You are comfortable debating technical tradeoffs with senior engineers, ideally from hands-on experience as a Python developer, data scientist, or data engineer.
  • A Growth Mindset: A proven track record of taking products 0→1 and/or driving high growth on something you personally owned.
  • AI-Native Fluency: Familiarity with modern AI tooling for data platforms (e.g., MCP, agentic workflows, ML inference) and how they reshape data processing.
  • Analytical Rigor: Data-driven and comfortable using metrics and AI-assisted analysis to hyper-prioritize and iterate under ambiguity.
  • High Ownership: Resilient, low-ego, and diplomatic - able to have candid, tough conversations while keeping cross-functional partners aligned.

BONUS POINTS:
  • Experience at a cloud platform provider (serverless/data processing), an open-source Python ecosystem company (e.g., Ray/AnyScale), a streaming platform (e.g., Flink/Confluent), or a PyData-space startup.
  • Prior experience with unstructured or multimodal data processing.
  • GM-style ownership of a product line, including go-to-market and business outcomes.
  • A background of leading or mentoring other product managers.

Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

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