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Senior Data Engineer Manager Jobs in Oregon (NOW HIRING)

Versapay

OR

$105K - $143K/yr

As a Senior Data Engineer, you will be pivotal in optimizing and scaling our foundational Snowflake ... Manager of Data Engineering What You'll Do: * Architect for the Future: Optimize our existing ...

Wellbe Senior Medical

Senior Data Engineer

$105K - $150K/yr

Collaborate with senior management to define and execute the company's data pipeline strategy ... Collaborate with the engineering team to integrate analytical solutions into production systems.

Troutman Pepper

Senior Data Engineer

Portland, OR · Remote

$112K - $152K/yr

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of ... Strong organizational skills with the ability to manage multiple priorities in a fast-paced ...

NinjaTrader

Sr. Data Engineer

OR · On-site +1

$100K - $150K/yr

This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. Data Engineer, your primary responsibility is to stay one step ahead of your fellow team members by ...

Imagine Pediatrics

OR · On-site

$150K - $180K/yr

What You'll Do As a Senior Data Engineer at Imagine Pediatrics, you will design, build, refactor ... Partner with product managers, engineers, and stakeholders to understand data needs and provide ...

Sonny's Enterprises LLC

$105K - $143K/yr

The Senior Data Engineer is the lead delivery role for structured data engineering in Databricks. This role owns lakehouse execution across bronze, silver, and gold; common data model implementation;

Wheelhouse

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

Wheelhouse is a revenue management platform for the $500B+ flex rental space. Our technology ... We are looking for a Senior Data Engineer to take ownership of this massive daily ingestion engine.

iHerb

OR

$114K - $137K/yr

We are looking for a Senior Data Engineer to help evolve and scale our modern data ecosystem ... Experience in data quality initiatives such as Master Data Management (MDM). * Experience ...

The Motley Fool

OR · On-site

$105K - $143K/yr

We are seeking a Senior Data Engineer to design, build, and take full ownership of the data ... Design schemas, manage data loading via Stages and Snowpipe, and implement role-based access ...

Pwc

Data Engineer - Manager

Portland, OR

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Engineer - Manager, you will play a pivotal role in transforming raw data ...

Pwc

Data Engineer - Manager

Portland, OR

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

SugarAI

OR · On-site

$114K - $137K/yr

We're delivering on the original promise of CRM-turning fragmented customer and revenue signals ... As a Senior Data Engineer, you will own the Databricks pipelines that make this possible, driving ...

Under Armour, Inc.

Sr. Data Analytics Engineer

OR · On-site +1

$125K - $165K/yr

Purpose of Role Under Armour is seeking a highly motivated Sr. Data Analytics Engineer to join our Enterprise Data Management & Analytics team. This role plays a key part in enabling decision ...

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Senior Data Engineer Manager information

What does a Senior Data Engineer Manager do?

A Senior Data Engineer Manager oversees teams of data engineers responsible for designing, building, and maintaining an organization’s data infrastructure. They develop strategies for data architecture, ensure the quality and security of data systems, and collaborate with other departments to meet business goals. In addition to technical responsibilities, they manage team performance, provide mentorship, and align data initiatives with company objectives.

What is the difference between Senior Data Engineer Manager vs Data Engineer?

AspectSenior Data Engineer ManagerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often leadership experienceBachelor's in CS, Data Science, or related
Work EnvironmentLeads teams, manages projects, strategic planningDevelops data pipelines, coding, data modeling
Industry UsageCommon in organizations with large data teamsEntry to mid-level roles in data teams

The Senior Data Engineer Manager oversees data engineering teams and projects, focusing on leadership and strategy, while Data Engineers primarily build and maintain data pipelines and infrastructure. The managerial role requires leadership skills and experience, whereas Data Engineers focus on technical execution.

What are the key skills and qualifications needed to thrive as a Senior Data Engineer Manager, and why are they important?

To thrive as a Senior Data Engineer Manager, you need deep expertise in data engineering, architecture, and leadership, typically backed by a degree in computer science or a related field and several years of experience. Proficiency with big data tools (such as Hadoop, Spark, Kafka), cloud platforms (AWS, Azure, or GCP), and data pipeline orchestration systems is essential, and certifications in these technologies can be advantageous. Exceptional communication, team management, and strategic thinking skills help you lead teams and align data solutions with business goals. These skills and qualities are vital for building scalable data infrastructure, fostering high-performing teams, and delivering actionable insights to drive organizational success.

What are some common challenges that Senior Data Engineer Managers face when leading data teams?

Senior Data Engineer Managers often encounter challenges in balancing strategic oversight with hands-on technical leadership. Managing cross-functional teams means coordinating efforts across data engineering, analytics, and business stakeholders, which can lead to complex communication and prioritization issues. Additionally, overseeing large-scale data infrastructure projects requires staying updated on evolving technologies while ensuring data quality and security. Effective delegation, fostering team growth, and aligning technical solutions with business goals are key to overcoming these challenges.
What are the most commonly searched types of Senior Data Engineer jobs in Oregon? The most popular types of Senior Data Engineer jobs in Oregon are:
What are popular job titles related to Senior Data Engineer Manager jobs in Oregon? For Senior Data Engineer Manager jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineer Manager jobs in Oregon look for? The top searched job categories for Senior Data Engineer Manager jobs in Oregon are:
What cities in Oregon are hiring for Senior Data Engineer Manager jobs? Cities in Oregon with the most Senior Data Engineer Manager job openings:
Senior Data Engineer Manager jobs near you

Senior Data Engineer

Versapay

OR

$105K - $143K/yr

Full-time

Posted 18 days ago

Job description

About Versapay 

Versapay turns accounts receivable (AR) into a competitive advantage.

Inefficient AR processes slow cash flow and stall growth. Versapay removes friction, unlocks working capital, and accelerates momentum - giving finance leaders the clarity and control they need to drive business forward.

Versapay automates accounts receivable, removing barriers to collecting and reconciling B2B payments. Our solutions connect finance teams, customers, and business systems in one ecosystem to ensure cash flow clarity. With over 10,000 customers and 5M+ companies transacting on the platform, Versapay processes over 110M transactions and $257B annually.

Think you might be the next Veep to join? Read on!!




Here's how you'll make a huge impact here - and on your career: 

The Analytics team is evolving our enterprise capabilities from foundational governance into a robust data platform, safely accelerating strategic AI enablement and delivering high-margin commercial data products. As a Senior Data Engineer, you will be pivotal in optimizing and scaling our foundational Snowflake architecture while aggressively pushing toward agentic engineering and machine learning operations. You will operate as a full-stack generalist within the engineering pod, sharing cross-functional responsibility for pipeline resilience, advanced observability, and the deployment of intelligent semantic models that directly feed our product ecosystem. 

Reports To: Manager of Data Engineering 

 
What You'll Do:

  • Architect for the Future: Optimize our existing Snowflake architecture, establishing strict environmental isolation and scalable structures that prepare our data for eventual downstream commercialization and product offerings. 

  • Drive Agentic Engineering: Leverage tools like Snowflake Cortex, Cursor, and UiPath to automate workflows, build semantic models, and deploy agents that accelerate time-to-value. 

  • Establish Data Observability: Implement and manage robust data quality and observability frameworks to ensure pipeline reliability and proactive issue resolution. 

  • Operationalize Machine Learning: Design and maintain MLOps pipelines to support the seamless rollout, monitoring, and lifecycle management of ML models directly within Snowflake. 

  • Execute Shared Ownership: Partner closely with your peers under the Data Engineering Manager to share responsibilities across pipeline management, MLOps, and architecture, avoiding siloed knowledge and ensuring comprehensive team coverage. 

  • Model for Enterprise Utility: Synthesize disparate operational entities into a unified, enterprise-wide semantic model that supports both internal analytics and future data monetization efforts. 

Qualifications

  • 5+ years of Data Engineering experience with a deep, specialized focus on Snowflake's advanced features (e.g., RBAC, materialized views, dynamic tables, Snowpipe, stored procedures). 

  • Advanced proficiency in SQL and Python, with a strong foundation in applying software engineering best practices to ELT processes. 

  • Observability Expertise: Hands-on experience implementing data observability and monitoring platforms (such as DataDog) to manage data quality at scale. 

  • AI & MLOps Exposure: Demonstrated experience using AI-assisted development tools (e.g., Cursor, Cortex) and familiarity with MLOps principles for productionalizing machine learning models. 

  • Pipeline Management: Experience building and maintaining resilient, low-touch data pipelines using modern integration and orchestration tools (e.g., Fivetran, AWS Glue, AWS Lambda). 

What You'll Bring To The Team:
  • Technical Competency: Advanced SQL skills, proficiency with Python/R, and experience with BI tools. Focus on self-sufficiency and leveraging AI tools to accelerate development. 
  • "Builder" Mentality: An ability to thrive in fast-paced environments with a track record of defining and executing high-impact initiatives. A desire to solve complex problems, remediate technical debt, and find creative solutions for scaling our platform. 
  • Business Acumen: Strong business acumen with a proven ability to translate complex data analysis into strategic recommendations. Adept at identifying key drivers and influencing decision-making. You understand the business behind the data and the path to commercialization. 
  • Empathetic Collaboration: Assertive with humility - able to communicate both persuasively and positively. Maintain high standards for verbal and written communication while seamlessly sharing domain responsibilities across the engineering pod. 
  • Trusted Advisor: Possesses a high degree of integrity, the relentless pursuit of truth, and an ability to inspire change, particularly in championing data quality and observability standards. 
What Will Make You Stand Out:

  • Deep domain expertise navigating complex merchant payment ecosystems (e.g., Adyen), operating under rigorous enterprise data governance and security standards. 

  • Proven ability to architect the translation of high-velocity transactional events into highly optimized, columnar analytical architectures. 

  • Direct experience architecting data products for commercialization, external endpoints, or embedded analytics within a SaaS platform.

$110,000 - $140,000 a year
#LI-Remote

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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