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

Sr Data Engineer (Databricks)

Camas, WA · On-site

$126K - $151K/yr

Wealth Management Position: Sr Data Engineer (Databricks) Compensation: $130K - $150K + Bonus Location: First 90 days on site and then 1 day a week WFH either in Camas, WA or Plano, TX Work ...

Sr Data Engineer (Databricks)

Camas, WA · On-site

$126K - $151K/yr

Wealth Management Position: Sr Data Engineer (Databricks) Compensation: $130K - $150K + Bonus Location: First 90 days on site and then 1 day a week WFH either in Camas, WA or Plano, TX Work ...

Data Engineer I, II

Portland, OR · On-site +1

$78K - $110K/yr

Position Summary The Data Engineer role on the Data Science Team (DST) is responsible for designing ... Work in excess of standard workweek, including evenings and occasional weekends, to meet business ...

Position Summary The Data Engineer role on the Data Science Team (DST) is responsible for designing ... Work in excess of standard workweek, including evenings and occasional weekends, to meet business ...

Data Governance- Manager

Portland, OR · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Data Engineer

Portland, OR · On-site

$121K - $145K/yr

Common Technical Skills For all teams: a. AWS (S3, SNS, SQS, API Gateway,...(and standard stacks)) b. Authentication c. BMX Jenkins with declarative pipelines d. Waffle Iron e. Terraform or Cloud ...

Data Visualization Engineer 4

Beaverton, OR · On-site

$119K - $143K/yr

Requirements Top skills include the following: - Data/visualization engineering skills - Ability to trace back data code to find the source of truth - Experience with Azure and AWS - Ability to write ...

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of ... Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ...

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Showing results 1-20

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 Jul 15, 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 $300,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $300,000 or more annually. High compensation often reflects leadership roles, specialized knowledge, and working in competitive industries or organizations with high data demands.

What engineers make $500,000?

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

Do data engineers work on weekends?

Data engineers typically work regular business hours during weekdays, but they may work on weekends if project deadlines, system maintenance, or incident responses require it. Flexibility and availability during off-hours can be important, especially in environments with 24/7 data operations or real-time data processing needs.

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:

$120K - $145K/yr

Contractor

Re-posted yesterday


Job description


Requirements
Required Technical Skills:
• BS in Computer Science, or related technical discipline
• 3+ years industry experience in gathering and documenting technical requirements for data imports and exports
• Strong skills in troubleshooting issues and finding root causes
• Expert ability to communicate in writing and verbally with technical and non-technical teams
• Experience with database systems, SQL, and SQL Analytical functions
• Comfortable with basic SQL commands (selecting, joining tables, type-1 vs type-2 updates)
• Comfortable reading SQL query code to understand selection logic
• Ability to troubleshoot SQL queries and their output
Required Soft Skills:
• Ability to work collaboratively to work collaboratively with multiple teams and business stakeholders of varying technical ability
• Demonstrated ability to deliver results on multiple projects in a fast-paced, agile environment
• Excellent problem-solving skills
• Strong desire to learn and share knowledge with others
• Passionate about data integrity and striving for excellence
Preferred Skills:
• AWS Cloud Concepts
• Basic Python programming skills
• Call center data experience
• Experience with data warehouse design (e.g., star schemas)
• Experience with workflow orchestration tools (like Apache Airflow) and/or orchestration concepts
• Experience in Agile/Scrum application development using JIRA
Role responsibilities:
• Troubleshoot production issues with data flow and quality using ad hoc SQL queries
• Help manage Kaban board and production intake tickets
• Meet with stakeholders to understand data requirements and document those findings
• Understand technical requirements and be able to translate that into technical work
• Assist as needed in forming a data flow solution that will serve the stakeholder's data needs
• Work with engineering leads and other teams to ensure quality solutions are implemented and engineering best practices are adhered to
• Recommend long term solutions to issues found
• Attend production support meetings and communicate issue status