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

CFS

Data & Platform Engineer

Beaverton, OR · Hybrid

$119K - $143K/yr

... in Data Engineering, Analytics Engineering, Business Applications, or a related technical role. * Strong experience with SQL Server and/or PostgreSQL. * Hands-on experience with Microsoft Power ...

Cinder LLC

Data & Platform Engineer

Beaverton, OR · On-site

$107K/yr

This role combines data engineering, Power Platform development, analytics enablement, and systems integration with a focus on automation, data reliability, and business reporting. This is a direct ...

Pwc

Data Engineer - Senior Manager

Portland, OR

$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 ...

Ab Ovo Inc

Data Engineer in AML & Procurement

Vancouver, WA · Hybrid

$119K - $144K/yr

Skills needed are: · Data Engineering overall expertise · ETL expertise · Data Warehousing · Experience in Data Extraction from databases like SQL and moving it in to another database, etc. · ...

Bespoke Labs

Data Engineer

Gresham, OR

$120K - $145K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Portland, OR

$121K - $145K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Vancouver, WA

$121K - $145K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Concora Credit Inc.

Financial Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Overview As our 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

$119K - $143K/yr

Overview As our 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 ...

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Showing results 1-20

All 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 Jun 21, 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.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data infrastructure.

Will AI replace ETL?

AI can automate parts of the ETL (Extract, Transform, Load) process, improving efficiency and reducing manual effort for data engineers. However, human oversight is still essential for designing, monitoring, and troubleshooting complex data workflows, so AI is more of a complement than a complete replacement for ETL roles.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, programming languages like Python and SQL, and tools such as Apache Spark and Hadoop enhance employability in this field.

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 jobs make $1,000,000 a year?

High-level executive roles such as CEOs, CFOs, and other C-suite positions can earn over $1 million annually, often including bonuses and stock options. Certain specialized professions like top-tier investment bankers, hedge fund managers, and successful entrepreneurs also reach this income level, typically requiring extensive experience, advanced skills, and significant responsibility.
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 11 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 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.

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