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Data Processing Manager Jobs in Snoqualmie, 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 Snoqualmie, WA

Data Processing Manager information

See Snoqualmie, WA salary details

$37.9K

$57.7K

$75.2K

How much do data processing manager jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data processing manager in Snoqualmie, WA is $57,660.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,700.00 and $68,600.00 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 job categories do people searching Data Processing Manager jobs in Snoqualmie, WA look for?

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

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

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

Data Processing Manager jobs near you
Infographic showing various Data Processing Manager job openings in Snoqualmie, WA as of August 2026, with employment types broken down into 82% Full Time, 17% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $57,660 per year, or $27.7 per hour.

Principal Software Engineer II - Next-Gen Data Transformations

Snowflake

Bellevue, WA • On-site

$151K - $203K/yr

Full-time

Re-posted 9 days ago

Job description

Job Summary:
Snowflake is a company focused on powering the era of the agentic enterprise through innovative data solutions. They are seeking a Principal Engineer II to architect the core data processing engine of the Snowflake Data & AI Cloud, focusing on building advanced data transformation infrastructures and ensuring optimal performance for large-scale data processing.
Responsibilities:
• Architect Foundation Primitives for Agentic AI Data Engineering: Design the internal engines for Dynamic Tables, Streams, and Tasks, ensuring the underlying processing kernels provide the elastic, serverless foundation required for real-time agentic reasoning.
• Build the Data Transformation Processing Fabric: Develop the low-level infrastructure for automated triggers and incremental processing logic, allowing the Snowflake engine to proactively manage, optimize, and process incoming data without manual intervention.
• Innovate in System Internals: Drive the long-term roadmap for stateful streaming, moving the industry toward a freshness-first system architecture where data is always ready for model consumption.
• Displace Legacy Orchestration Layers: Identify how to build superior, native processing capabilities directly within the Snowflake engine to eliminate the complexity of external schedulers, simplifying the architectural scaffolding for our customers.
• Engineer for Global Scale and Governance: Design and implement highly reliable, multi-tenant system internals that handle exabytes of data while maintaining Snowflake’s industry-leading standards for resource isolation, security, and distributed consistency.
• Drive Technical Strategy for the AI Era: Provide technical leadership to senior management and multiple departments, influencing how Snowflake’s core compute fabric evolves to support the burgeoning Model Context Protocol (MCP), autonomous agent ecosystems and modern Python and Spark data processing workflows.
• Drive Customer Success through Direct Engagement: Partner with Snowflake’s most strategic customers and field engineering teams to translate massive-scale architectural challenges into core engine requirements, ensuring our processing primitives meet the real-world demands of the global Data Cloud.
• Ensure Operational Excellence: Take responsibility for the operational readiness of the services, meeting the strict commitments to our customers regarding reliability, availability, and performance.
Qualifications:
Required:
• 14+ years of industry experience building database systems internals, distributed systems internals, or large-scale data processing engines.
• Strong Technical Leadership: Operates as a broad architect, setting architectural direction, mentoring senior engineers, and establishing technical standards for large cross-product initiatives, coupled with exceptional ability to navigate organizational complexity, align multiple teams, and drive cross-functional decisions spanning multiple teams.
• Mastery of Systems Programming: Deep expertise in stateful stream processing, incremental view maintenance, distributed transactions, and query execution internals.
• Infrastructure-First Mindset: You are a systems builder. You prefer building the Operating System and the Engine rather than the application or the end-user pipeline.
• Distributed Systems Expertise: Proven track record of solving complex problems in consensus, replication, and high-concurrency environments at cloud scale.
• Ecosystem Awareness: A deep understanding of the architectural limitations of traditional orchestration and data processing tools, and a vision for how to solve those challenges through native Snowflake system design.
• Collaborative Leadership: Ability to work in a globally distributed environment, collaborate across product and engineering boundaries, and mentor senior and junior engineers alike.
Company:
Snowflake is a cloud data platform that provides a data warehouse as a service designed for the cloud. Founded in 2012, the company is headquartered in San Mateo, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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