1

Weekend Data Engineering Jobs in Seattle, WA (NOW HIRING)

Data Engineer

Seattle, WA · On-site

$90K - $120K/yr

Shannon & Wilson is a leading geotechnical engineering firm dedicated to delivering innovative ... We are seeking a Data Engineer to manage, optimize, and evolve our new Microsoft-based data ...

Data Engineer II, AAE

Bellevue, WA · On-site

$129K - $155K/yr

Our Data Engineering team builds the intelligence infrastructure that makes this portfolio measurable - from revenue attribution and launch telemetry to agent-generated business reviews that serve VP ...

As the Engineering Manager, you will: * Own end-to-end Data I/O - lead the team that that owns all patterns for moving data in and out of Databricks, targeting high availability and low-latency ...

Data Engineer

Bellevue, WA · On-site

$125K - $140K/yr

EDUCATION, EXPERIENCE, AND SKILLS REQUIRED * 4+ years in data engineering or related roles. * Expert-level Python and advanced SQL (PostgreSQL/Spark-SQL). * Production experience with Databricks ...

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and ...

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and ...

Data Engineer (MedInsight)

Seattle, WA · On-site +1

$93K - $177K/yr

MedInsight's engineering team is building the next generation of healthcare data analytics. We are seeking a skilled and driven Data Engineer to design, build, and optimize scalable data solutions ...

Data Engineer

Bellevue, WA · Hybrid

$125K - $140K/yr

EDUCATION, EXPERIENCE, AND SKILLS REQUIRED * 4+ years in data engineering or related roles. * Expert-level Python and advanced SQL (PostgreSQL/Spark-SQL). * Production experience with Databricks ...

Data Engineer II, AAE

Bellevue, WA · On-site

$129K - $155K/yr

Our Data Engineering team builds the intelligence infrastructure that makes this portfolio measurable - from revenue attribution and launch telemetry to agent-generated business reviews that serve VP ...

Data Engineer II, AAE

Bellevue, WA · On-site

$129K - $155K/yr

Our Data Engineering team builds the intelligence infrastructure that makes this portfolio measurable - from revenue attribution and launch telemetry to agent-generated business reviews that serve VP ...

Data Engineer

Seattle, WA · On-site

$90K - $120K/yr

Data Engineering & Integration - Build, maintain, and optimize ingestion pipelines from internal systems (ERP, project management software) and external data sources. - Design and maintain clean ...

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and ...

AI Data Engineer 3

Redmond, WA · On-site

$74.74 - $83.04/hr

Leverage modern data engineering practices and frameworks with an object-oriented approach to architect, build, and maintain automated data pipelines that transform data into clean, enriched, and ...

Sr Databricks Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Senior Consultant ...

Lead Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

... data engineering or a related field • Expertise with programming languages such as Python/PySpark, SQL, or Scala • Experience working in a cloud environment (Azure preferred) with strong ...

next page

Showing results 1-20

Weekend Data Engineering information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

How much do weekend data engineering jobs pay per year?

As of Jun 16, 2026, the average yearly pay for weekend data engineering in Seattle, WA is $147,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $156,500.00 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 Seattle, WA? The most popular types of Data Engineering jobs in Seattle, WA are:
Data Engineer

$90K - $120K/yr

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 hours ago


Job description

Description:

Shannon & Wilson is a leading geotechnical engineering firm dedicated to delivering innovative solutions in infrastructure, transportation, and environmental projects. As part of our digital transformation journey, we are investing in modern data platforms and analytics capabilities to support better decision-making and operational excellence.


Job Summary:

We are seeking a Data Engineer to manage, optimize, and evolve our new Microsoft-based data platform (Microsoft Fabric, Azure SQL, Power BI, etc.). This role will be instrumental in ensuring that our engineers, supporting staff, and leadership have reliable, trusted access to data for project delivery, reporting, and strategic insights.


Responsibilities:

Platform Operations & Maintenance

- Administer and monitor Microsoft Fabric (or Azure Synapse/Lakehouse), Azure SQL Databases, and Power BI workspaces.

- Ensure data pipelines, notebooks, and scheduled refreshes run reliably and on time.

- Implement monitoring, alerting, and cost optimization strategies for the platform.

Data Engineering & Integration

- Build, maintain, and optimize ingestion pipelines from internal systems (ERP, project management software) and external data sources.

- Design and maintain clean, curated data models to support reporting and analytics needs.

- Collaborate with business analysts to ensure data structures meet business requirements.

Governance & Security

- Apply data governance standards for naming conventions, schema design, and access control.

- Work with IT to enforce security policies, manage permissions, and ensure compliance with client and regulatory requirements.

Continuous Improvement

- Stay current with Microsoft’s data platform capabilities (Fabric, Power BI, Azure Data Factory, etc.).

- Recommend new features, automation, or process improvements to enhance reliability and usability.

- Partner with stakeholders to identify and implement new use cases for analytics and reporting.

Requirements:
  • Bachelor’s degree in Computer Science, Data Engineering, or related field (or equivalent experience).
  • Must have 3+ years of experience with Microsoft data stack (Azure SQL Database, Azure Data Factory, Synapse, Power BI, or Fabric).
  • Strong SQL development skills and experience with data modeling (star/snowflake schema) required.
  • Hands-on experience with ETL/ELT pipelines and automation scheduling required.
  • Familiarity with cloud-based data security and access control practices.
  • Experience with Microsoft Fabric Lakehouse and Mirrored Databases preferred.
  • Familiarity with engineering or construction industry data (projects, cost, schedule) preferred.
  • Python or Spark experience for data transformation preferred.
  • Knowledge of DevOps/Git-based version control for data pipelines preferred.
  • Strong collaboration skills – able to work with project managers, analysts, and IT staff.
  • Excellent troubleshooting and problem-solving skills.
  • Continuous improvement mindset with willingness to learn and adopt new technologies.
  • Clear communication skills (both technical and business-oriented).

Applicants must be authorized to work in the United States. Shannon & Wilson will not sponsor applicants for work visas.


Level Placement:

Typically, depending on an applicant’s education, experience, other qualifications they possess, if they are a fit for the company and local office culture, and the current business needs, an Entry-Level Data Engineer typically would be placed at a Shannon & Wilson Professional I, II, III, or IV level with annual compensation ranging from $90,000 - $120,000.


Shannon & Wilson is committed to providing a comprehensive total rewards package that includes the following benefits:

  • Employee stock ownership
  • Medical, prescription, vision, dental, long-term care and life insurance plans are offered to employees (and their families).
  • Pre-tax health and daycare FSA
  • Profit sharing and 401(k) plans with annual safe-harbor contributions
  • 10 - 20 paid vacation days per year for full-time employees, based on years of experience (prorated for part-time employment)
  • Sick leave accrues based on state requirements
  • 9 paid holidays per year + 1 personal holiday
  • Paid volunteer day
  • Paid time off for bereavement and jury duty
  • Two weeks of paid parental leave
  • Lunch & Live wellness webinars and an Employee Assistance Program
  • Mentorship Program
  • Tuition Reimbursement
  • Free parking

Shannon & Wilson is an Equal Opportunity Employer

Shannon & Wilson participates in the E-Verify program.

Please note that non-solicited resumes from external recruitment agencies will not be considered as introductions to our business, unless a preapproved agreement is in place and the external recruitment agency has been engaged to work on this specific vacancy.