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

Data Engineer - Databricks

Seattle, WA · On-site

$130K - $156K/yr

Seattle, WA Experience: • 7+ years of experience in Data Engineering or related roles • Strong hands-on experience with Databricks Cloud Data Platform • Proven experience working in cloud ...

Data Engineer II

Seattle, WA · On-site

$130K - $156K/yr

Strong experience in Data Engineering , Python, Snowflake, SQL, Azure Hands-on expertise with ETL/data pipelines Experience with large-scale data processing frameworks Strong SQL and data modeling ...

Sr. Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big ... Expert at building unified data technologies to support advanced and automated business analytics

Databricks Data Engineer

Seattle, WA

$130K - $156K/yr

Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and Structured Query Language (SQL) * Support the modernization of enterprise data ...

APX is part of the broader Apple Services Engineering division that powers App Store, Apple TV+, ... In this role, you will work on systems that enable data engineers across Apple to build ...

Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Required Skills & Experience: * 6+ years of experience in Data Engineering or related roles. * Strong proficiency in SQL (complex queries, tuning, and optimization). * Hands-on experience with ...

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Knowledge of Big Data pipelines, Data Engineering * Working Knowledge of the MSBI stack on Azure * Working Knowledge of Azure Data factory, Azure Data Lake, and Azure Data lake storage * Hands-on in ...

Understanding of data engineering best practices (partitioning| performance tuning| fault tolerance). Essential Skills Python PySpark Azure Synapse Analytics Azure Machine Learning Studio Azure Data ...

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

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

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 ...

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

$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 ...

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 ...

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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 12, 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 - Databricks

Prophecy Technologies

Seattle, WA • On-site

$130K - $156K/yr

Full-time

Posted 7 days ago


Job description

Job Summary:
The Senior Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines and cloud-based data solutions. This role focuses on developing robust ETL/ELT processes, optimizing Databricks environments, and enabling data-driven decision-making through high-quality data models and governed data platforms. The engineer will collaborate closely with cross-functional teams to ensure reliable, secure, and cost-effective data solutions.
Location:
Seattle, WA
Experience:
• 7+ years of experience in Data Engineering or related roles
• Strong hands-on experience with Databricks Cloud Data Platform
• Proven experience working in cloud environments (Azure preferred)
Key Responsibilities:
• Design, build, and deploy data extraction, transformation, and loading (ETL/ELT) pipelines from databases, APIs, and data files
• Develop and support scalable data pipelines within Databricks Cloud Data Platform
• Build and maintain data models aligned with domain expertise and evolving business needs
• Monitor, tune, and optimize Databricks cluster performance for cost-effective scaling
• Implement and maintain Delta Lake for reliable, versioned, and high-performance data storage
• Automate CI/CD pipelines for data workflows using Azure DevOps
• Collaborate with cross-functional teams to support data governance using Databricks Unity Catalog
• Ensure data quality, integration, and transformation best practices
• Communicate technical concepts clearly to non-technical stakeholders
Required Skills & Experience:
• Strong programming skills in Python / PySpark, SQL, or Scala
• Hands-on experience with Databricks (Required)
• Experience with workflow orchestration tools such as:
- Databricks Jobs
- Azure Data Factory pipelines
• Strong understanding of cloud data architectures (Azure preferred)
• Deep knowledge of database and storage concepts:
- Data Lakes
- Relational Databases
- NoSQL
- Graph Databases
- Data Warehousing
Competencies:
• Cloud Data Engineering
• Data Modeling & Architecture
• Performance Optimization
• CI/CD & Automation
• Data Governance & Collaboration
• Strong Communication Skills
Preferred Skills:
• Experience with Azure-native services
• Familiarity with enterprise data governance frameworks
• Experience working in large-scale or enterprise data environments