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

Infrastructure Data Analytics Engineer

Gresham, OR · On-site

$121K - $145K/yr

Design and develop data ingestion processes from multiple sources, including: * Infrastructure monitoring platforms * CMDB and asset management systems * Cloud platforms (Azure, AWS) * Enterprise ...

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 ...

Data Engineer - Databricks

Beaverton, OR

$119K - $143K/yr

... processes across various enterprise data sources. * Work with cloud platforms such as Azure, AWS, or GCP , with preference for Azure . * Develop and manage data workflows using orchestration tools ...

Data Engineer - Databricks

Beaverton, OR

$119K - $143K/yr

... processes across various enterprise data sources. * Work with cloud platforms such as Azure, AWS, or GCP , with preference for Azure . * Develop and manage data workflows using orchestration tools ...

Data Engineer - Databricks

Beaverton, OR · On-site

$119K - $143K/yr

... processes across various enterprise data sources. * Work with cloud platforms such as Azure, AWS, or GCP , with preference for Azure . * Develop and manage data workflows using orchestration tools ...

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 ...

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Help build and maintain reliable data models and ETL/ELT processes that support analytics, business ... Metadata management, Data lifecycle management, Master Data Management concepts. * Strong ...

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Help build and maintain reliable data models and ETL/ELT processes that support analytics, business ... Metadata management, Data lifecycle management, Master Data Management concepts. * Strong ...

Responsibilities Own and support monthly validation processes for print telemetry outputs ... Typically has 7-10 years of work experience, preferably in data analytics, database management ...

Data Center Project Manager

Portland, OR · On-site

$128K/yr

Evaluates and makes recommendations on Data Center equipment and processes. * Offers ... Five years project management experience. * Reading and understanding * blueprints * schematics ...

Data Governance- Manager

Portland, OR · On-site

$99K - $232K/yr

... data management processes - Encourage innovative approaches to enhance data-driven solutions What You Must Have - Bachelor's Degree - At least 5 years of experience What Sets You Apart - AWS ...

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Data Processing Manager information

See Vancouver, WA salary details

$36.5K

$55.5K

$72.5K

How much do data processing manager jobs pay per year?

As of Sep 1, 2026, the average yearly pay for data processing manager in Vancouver, WA is $55,545.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $66,100.00 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 Vancouver, WA are hiring for Data Processing Manager jobs?

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

Infographic showing various Data Processing Manager job openings in Vancouver, WA as of August 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $54,965 per year, or $26.4 per hour.

Contractor

Re-posted 24 days ago


Job description


WHO ARE WE LOOKING FOR
We are looking for an experienced Data Engineering Manager to lead and manage a team of data engineers and analysts working on building scalable data and analytics solutions. This person will participate in architecture and design discussions, own end-to-end solution delivery, stakeholder management, partner with platform engineering, collaborate with other engineering teams, and will guide and mentor data engineers. The ideal candidate will have outstanding communication skills, proven data design and implementation capabilities, strong business acumen, and an innate drive to deliver results. The person in this role will be technically proficient and excel at collaborating with engineers, analysts, and stakeholders. He/she will be a self-starter, comfortable with ambiguity, and will enjoy working in a fast-paced dynamic environment.
WHAT WILL YOU WORK ON
In this role, you will manage an engineering team focused on building and delivering scalable data and analytics solutions in our Direct, Supply Chain, and Commercial space. The team will design, implement and integrate new technologies and evolve data and analytics products. You will be contributing to all aspects of data engineering from ingestion, transformation, and consumption in addition to designing and building test-driven development, reusable frameworks, automated workflows, and libraries at scale to support analytics products. You will also participate in architecture and design discussions to process and store high-volume data sets.
WHO WILL YOU WORK WITH
This role is part of the North America Data & Analytics Organization and you will work with world-class talent in the field of Data Engineering with a goal of better business insights and driving data-driven decisions across the organization. You'll be working closely with Internal stakeholders, Product Owners, Engineering Leaders, Data Analysts, Big Data Leads, and Engineers. One of our maxims is "Win as a Team" and you will be working in a very collaborative environment and will find success in teamwork, a positive attitude, and hard work.
Requirements
WHAT YOU BRING
  • Bachelor's or Master's degreein Computer Science or related field
  • 10+ years relevant workexperience in the Data Engineering field
  • 4+ years experience inleading and managing engineering teams
  • 4+ years experience workingwith Hadoop and Big Data processing frameworks (Spark, Hive, Nifi,Spark-Streaming, Flink, etc.)
  • 2+ years experience buildingscalable, real-time and high-performance cloud data lake solutions
  • Strong experience withrelational SQL and programming languages such as Python, Scala, or Java
  • Experience with sourcecontrol tools such as GitHub and related CI/CD processes
  • Experience working with BigData streaming services such as Kinesis, Kafka, etc.
  • Experience working with NoSQLdata stores such as HBase, DynamoDB, etc.
  • Experience provisioningRESTful API's to enable real-time data consumption
  • Experience working in AWSenvironment primarily EMR, S3, Kinesis, Redshift, Athena, etc
  • Experience with datawarehouses/RDBMS like Snowflake & Teradata
  • Experience with workflowscheduling tools like Airflow
  • Strong understanding ofalgorithms, data structures, data architecture, and technical designs.
  • Has a strong problem solvingand analytical approach.