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Weekend Data Engineering Jobs in Portland, OR (NOW HIRING)

Pwc

Data Engineer - Senior Manager

Portland, OR · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Danta Technologies

Data Engineer - Snowflake / AWS

Portland, OR · On-site

$121.40K - $145.80K/yr

... AWS (data engineering services and integrations). • Experience with enterprise data warehousing and large-scale system integrations. • Some exposure to UI or data visualization layers is ...

Concora Credit Inc.

Financial Data Engineer

Beaverton, OR · On-site

$119.10K - $143.10K/yr

Overview As a Financial Data Engineer, you'll help drive Concora Credit's Mission to enable ... Bachelor's Degree in Computer Science, Mathematics, Engineering, or similar field OR Equivalent ...

Concora Credit Inc.

Financial Data Engineer

Beaverton, OR · On-site

$119.10K - $143.10K/yr

Overview As a Financial Data Engineer, you'll help drive Concora Credit's Mission to enable ... Bachelor's Degree in Computer Science, Mathematics, Engineering, or similar field OR Equivalent ...

Concora Credit Inc.

Financial Data Engineer

Beaverton, OR

$119.10K - $143.10K/yr

As a Financial Data Engineer, your primary role will be to build and optimize foundational data ... Bachelor's Degree in Computer Science, Mathematics, Engineering, or similar field OR Equivalent ...

Concora Credit Inc.

Financial Data Engineer

Beaverton, OR

$119.10K - $143.10K/yr

Overview As a Financial Data Engineer, you'll help drive Concora Credit's Mission to enable ... Bachelor's Degree in Computer Science, Mathematics, Engineering, or similar field OR Equivalent ...

Pwc

Data Engineer - Senior Associate

Portland, OR

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Deloitte

AI Data Engineer Senior Consultant

Portland, OR · On-site

$121.40K - $145.80K/yr

Required : • Bachelor's degree in Computer Science, Engineering, Statistics, Data Science, or another STEM field • 4+ years of experience building and delivering large language model or ...

New

campus4tech

Data Engineer

Beaverton, OR · On-site

$119.10K - $143.10K/yr

Job Title- Data Engineer 5 Location- Beaverton, OR, United States, 97005 Reporting Type- Onsite Duration: 9+ Months Summary GT Title: Data Engineer Requirements Typically requires a Bachelors Degree ...

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All JobsData Engineering JobsWeekend Data Engineering JobsWeekend Data Engineering Jobs in Portland, OR

Weekend Data Engineering information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

How much do weekend data engineering jobs pay per year?

As of May 29, 2026, the average yearly pay for weekend data engineering in Portland, OR is $137,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $145,800.00 per year, depending on experience, location, and employer.

Do data engineers work weekends?

Data engineers typically work standard weekday hours, but they may need to work weekends or outside regular hours to meet project deadlines, perform system maintenance, or address urgent issues. Flexibility is often required, especially in environments with 24/7 data operations or during critical system updates.

What engineering jobs pay $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. High-level roles in technology companies or finance firms tend to offer these compensation levels for top-tier talent.

What jobs in the US pay $300,000 a year?

In data engineering, senior roles such as Lead Data Engineer or Data Engineering Manager can reach or exceed $300,000 annually, especially with extensive experience, advanced skills in cloud platforms, and certifications. High-level positions in finance, technology, and consulting also often pay this amount or more, typically requiring specialized expertise and leadership responsibilities.

What is the difference between Weekend Data Engineering vs Weekend Data Analysis?

AspectWeekend Data EngineeringWeekend Data Analysis
Required SkillsData pipeline development, SQL, Python, cloud platformsData interpretation, visualization, SQL, Excel
Work EnvironmentTechnical teams, data infrastructure projectsBusiness teams, reporting and insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis certifications (e.g., Microsoft, Tableau)

Weekend Data Engineering focuses on building and maintaining data pipelines and infrastructure, requiring technical skills and cloud platform knowledge. In contrast, Weekend Data Analysis emphasizes interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but serve different functions during weekend projects or part-time work.

What are the most commonly searched types of Data Engineering jobs in Portland, OR? The most popular types of Data Engineering jobs in Portland, OR are:
Weekend Data Engineering jobs near you

Data Engineering Manager

BizTek People, Inc. | APA International Placement Consultants

Hillsboro, OR • On-site

Contractor

Posted 18 days ago

Job description

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 degree in Computer Science or related field
  • 10+ years relevant work experience in the Data Engineering field
  • 4+ years experience in leading and managing engineering teams
  • 4+ years experience working with Hadoop and Big Data processing frameworks (Spark, Hive, Nifi, Spark-Streaming, Flink, etc.)
  • 2+ years experience building scalable, real-time and high-performance cloud data lake solutions
  • Strong experience with relational SQL and programming languages such as Python, Scala, or Java
  • Experience with source control tools such as GitHub and related CI/CD processes
  • Experience working with Big Data streaming services such as Kinesis, Kafka, etc.
  • Experience working with NoSQL data stores such as HBase, DynamoDB, etc.
  • Experience provisioning RESTful API's to enable real-time data consumption
  • Experience working in AWS environment primarily EMR, S3, Kinesis, Redshift, Athena, etc
  • Experience with data warehouses/RDBMS like Snowflake & Teradata
  • Experience with workflow scheduling tools like Airflow
  • Strong understanding of algorithms, data structures, data architecture, and technical designs.
  • Has a strong problem solving and analytical approach.

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