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

Paradigm

Data Engineering Developer

Seattle, WA · Remote

We are looking for a Data Engineering Developer to join our team. If you love data - cleaning it, digging in it, understanding what type of insights stakeholders want from it and helping them ...

Amazon

Data Engineer II , UTR Data Engineering

Bellevue, WA · On-site

$129K - $155K/yr

You will help define how we build, what patterns we standardize, and how AI fits into data engineering workflows. If you want to learn fast and have a hand in shaping the way a team works, this is ...

Amazon

Data Engineer II , UTR Data Engineering

Bellevue, WA · On-site

$129K - $155K/yr

You will help define how we build, what patterns we standardize, and how AI fits into data engineering workflows. If you want to learn fast and have a hand in shaping the way a team works, this is ...

Amazon

Data Engineer II , UTR Data Engineering

Bellevue, WA

$129K - $155K/yr

You will help define how we build, what patterns we standardize, and how AI fits into data engineering workflows. If you want to learn fast and have a hand in shaping the way a team works, this is ...

Reply

Manager, Data Engineering

Seattle, WA

$160K - $190K/yr

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

Reply

Manager, Data Engineering

Seattle, WA

$160K - $190K/yr

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

Prophecy Technologies

Data & AI Engineer

Bellevue, WA · On-site

$129K - $155K/yr

This role focuses on enterprise-scale data engineering, strong data modeling practices, and cloud-based analytics to support advanced AI and business intelligence use cases. Location: Bellevue, WA ...

Dlapiper

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

In current initiatives, data engineering includes consolidating data from multiple sources into a central SQL-based integration point and performing field mapping and transformations, so solution ...

Noblesoft Technologies

Data Engineer

Seattle, WA · Remote

$117K - $140K/yr

Required Qualifications • 5+ years of experience in data engineering with a focus on Microsoft Azure and Fabric technologies. Strong expertise in: o Microsoft Fabric (Lakehouse, Dataflows Gen2 ...

1 point system

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

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

Chewy

Data Engineer III

Bellevue, WA

$129K - $207K/yr

Define, implement, and uphold analytic data engineering standards (modeling, testing, documentation, governance) * Lead evaluation and adoption of tools and processes that improve data quality ...

QXO

Staff Software Engineer, Data

Seattle, WA · On-site

$175K - $400K/yr

Drive data engineering best practices including Data Discovery, Naming Conventions, Data Quality frameworks, Operational Excellence, and Security standards. * Make architectural trade-offs between ...

Team Red Dog

AI Data Engineer 3

Redmond, WA · On-site

$128K - $154K/yr

This opportunity is expected to focus on enterprise data engineering, cloud-based analytics infrastructure, ETL/ELT development, and AI/ML-driven data initiatives supporting large-scale business ...

Chewy

Data Engineer III

Bellevue, WA · On-site

$129K - $207K/yr

Define, implement, and uphold analytic data engineering standards (modeling, testing, documentation, governance) * Lead evaluation and adoption of tools and processes that improve data quality ...

Team Red Dog

AI Data Engineer 3

Redmond, WA · On-site

$128K - $154K/yr

This opportunity is expected to focus on enterprise data engineering, cloud-based analytics infrastructure, ETL/ELT development, and AI/ML-driven data initiatives supporting large-scale business ...

QXO

Staff Software Engineer, Data

Seattle, WA · On-site

$130K - $156K/yr

Drive data engineering best practices including Data Discovery, Naming Conventions, Data Quality frameworks, Operational Excellence, and Security standards. * Make architectural trade-offs between ...

Sono Bello

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 ...

Staffingine LLC

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Implement data governance quality and security best practices across all data engineering processes * Lead the integration of cloudnative data services eg Azure Synapse ADLS Azure SQL Cosmos DB into ...

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All JobsWeekend Data Engineering JobsWeekend Data Engineering Jobs in Seattle, WA

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:
Weekend Data Engineering jobs near you

Data Engineering Developer

Paradigm

Seattle, WA • Remote

Full-time

Posted 28 days ago

Job description

If opportunity doesn’t knock, build a door. - Milton Berle

Come build your door with us. It’s what we do here.

At Paradigm, we make world-class software and deliver high-quality professional services for the building products industry. Our success is tied directly to our customers’ success, so we do what it takes to make sure they’re successful. And we know that we couldn’t do it without our awesome employees.

We are looking for a Data Engineering Developer to join our team. If you love data - cleaning it, digging in it, understanding what type of insights stakeholders want from it and helping them navigate through it - let’s talk.

What You Will Do:

  • You will be responsible for creating and maintaining optimal data pipeline architecture using Spark, Python, SQL, and other tools.

  • You will assemble large, complex data sets that meet functional/non-functional business requirements.

  • You will work with technical and non-technical teams to provide data-driven insights.

  • You will identify issues related to data, data sources and processing.

  • You will monitor reporting solutions & make sure that data sets are correct & troubleshoot any issues.

  • You will be responsible for customer issue tickets - including reviewing existing solutions and looking holistically at our services to identify trends that may need a larger review.

  • You will document methodologies, variations, and QA processes.

  • You will intake, identify, document, and share findings and insights to stakeholders, both internal and external.

  • You may work cross departmentally to be a data SME for other teams.

What You Need to Succeed:

  • You have a bachelor’s degree (ideally in Comp Sci, Math, Economics, or Statistics).

  • You have 5 years’ experience in programming or data engineering.

  • You are very knowledgeable in Python. Knowledge of other JVM languages like Kotlin, Java and Scala, is a plus.

  • You have advanced working SQL knowledge and experience working with relational databases, query authoring (SQL), as well as working familiarity with a variety of databases.

  • You have a deep understanding of Apache Spark, especially as part of Azure Databricks.

  • You are familiar with the Unity Catalog, Spark Declarative Pipelines (aka Delta Live Tables), and Delta Sharing.

  • You have knowledge of technology related to data transformation and data structures.

  • You think critically and are not afraid to be wrong (but you love learning from your successes and your mistakes).

  • You have excellent requirement gathering and independent problem-solving skills.

  • You understand AI as a tool to leverage, with a deep understanding of the required output.

  • You have excellent communication skills (both written & verbal) - including the ability to translate technical concepts to people without technical expertise.

  • You are organized with strong attention to detail and excellent follow-through.

  • You are agile and able to adapt to changing demands and manage multiple priorities in a fast-paced environment.

  • You are self-motivated and resourceful, with strong interpersonal skills; able to work individually as well as with a team.

Ready to Join? Apply now! MyParadigm.com/careers