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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

$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 · 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 ...

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 ...

PitchBook Data

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

Dlapiper

Data Engineer

Seattle, WA

$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 ...

Fred Hutchinson Cancer Center

Data Engineer IV

Seattle, WA · On-site

$130K - $156K/yr

This role combines deep data engineering expertise in the Databricks Lakehouse ecosystem with hands-on experience in designing and operating cloud infrastructure-as-code (IaC) on AWS using Terraform

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 ...

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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 Jul 6, 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 $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 Seattle, WA? The most popular types of Data Engineering jobs in Seattle, WA are:
Weekend Data Engineering jobs near you
Infographic showing various Weekend Data Engineering job openings in Seattle, WA as of June 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $147,621 per year, or $71 per hour.

Data Engineering Developer

Paradigm

Seattle, WA • Remote

Full-time

Posted 21 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