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Seasonal Data Engineer Python Jobs in Seattle, WA

Data Platform Engineer (Python) About the Role What if your Python expertise could directly shape the infrastructure that trains and evaluates the most advanced AI systems in the world? We're looking ...

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 ...

Data Engineer

Seattle, WA

$130K - $156K/yr

Spring Boot, REST APIs, Docker, Kubernetes, AWS, Python, Power BI, SQL, Snowflake, and more ... • Data Engineer & ML Engineer Preferred Skills We Focus On Java / Full Stack / DevOps: Java ...

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Data Engineer Location: Bellevue, WA Job Type: Onsite/Remote: Hybrid * Experience in Synapse with ... Python, Azure BLOB, Azure Data Factory, AZURE DATA LAKE

Data Engineer

Bellevue, WA · On-site

$128K - $154K/yr

Data Engineer Location: BELLEVUE, WA Primary Responsibilities • Support Data Science team by ... Python and Spark that meet all functional & non-functional requirements • Develop efficient ...

Data Engineer

Bellevue, WA

$129K - $155K/yr

Data Engineer Location: BELLEVUE, WA Primary Responsibilities • Support Data Science team by ... Python and Spark that meet all functional & non-functional requirements • Develop efficient ...

We are looking for a Data Engineer to join the Infrastructure Automation team. Our success depends ... using Python, Airflow, and SQL to build the various ETL, analytics, and data quality components.

Data Engineer

Bellevue, WA · On-site

$125K - $140K/yr

... data ... You will drive architecture decisions, mentor junior engineers, and champion Python- and PySpark ...

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Strong programming skills in Python SQL and Spark * Handson experience with Azure data services ADF Synapse Databricks ADLS and Azure DevOps * Deep understanding of data modeling warehousing and ...

Data Engineer

Bellevue, WA

$129K - $155K/yr

Data Engineer Location: Bellevue,WA/ Frisco,TX/ Atlanta, GA Duration: 6 months Job Type: Temporary ... Write clean, testable Python and SQL; * contribute to CI/CD pipelines in Azure DevOps; participate ...

Data Engineer

Seattle, WA · Remote

$117K - $140K/yr

... o SQL, Python and PySpark/Scala • Experience working with structured and semi-structured data ... engineering. • Experience in building multi-tenant data platforms or domain-specific lakes.

Azure Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Python; Azure Storage; ADF; Power Bi,Azure OpenAI Role Descriptions: Unified Analytics PlatformWork across Fabric workloads: Data Factory (ETL)| Synapse Data Engineering (Spark)| Synapse Data ...

Data Engineer

Seattle, WA

$130K - $156K/yr

The Data Engineer will be responsible for designing, building, and maintaining robust and scalable ... Solid SQL and Python skills; knowledge of data quality frameworks

Data Engineer

Bremerton, WA · On-site

$122K - $147K/yr

They are seeking an experienced Data Engineer to help clients organize and analyze data from ... Experience with Python, SQL, Scala, RDS, Aurora, DynamoDB, Lambda, EC2, SQS/SNS, S3, IAM ...

"Data Engineer"

Seattle, WA · On-site

$130K - $157K/yr

I have an opportunity for "Data Engineer" and looking for a candidate who can join Immediately if ... Python Developer with Snowflake Exp. & Scala with Spark Best Regards Syed Imran Sr Technical ...

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Seasonal Data Engineer Python information

See Seattle, WA salary details

$52.3K

$187.8K

$277.1K

How much do seasonal data engineer python jobs pay per year?

As of Jun 8, 2026, the average yearly pay for seasonal data engineer python in Seattle, WA is $187,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,900.00 and $193,500.00 per year, depending on experience, location, and employer.

What is the difference between Seasonal Data Engineer Python vs Data Analyst?

AspectSeasonal Data Engineer PythonData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; Python proficiency; SQL knowledgeBachelor's in Statistics, Math, or related; Excel, SQL, and data visualization skills
Work EnvironmentProject-based, often in tech or finance sectors, with focus on data pipelinesBusiness-focused, in various industries, analyzing data to inform decisions
Employer & Industry UsageTech companies, finance, retail during seasonal peaksCorporate, marketing, healthcare, and other sectors
Common Search & ComparisonYesYes

Seasonal Data Engineer Python roles focus on building and maintaining data pipelines using Python, especially during peak seasons. Data Analysts interpret data to generate insights and reports. While both roles require data skills, Data Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on analysis and visualization.

What are the most commonly searched types of Data Engineer Python jobs in Seattle, WA? The most popular types of Data Engineer Python jobs in Seattle, WA are:

Data Platform Engineer (Python)

Alignerr

Seattle, WA • Remote

Other

Posted 3 days ago


Job description

Data Platform Engineer (Python)
About the Role
What if your Python expertise could directly shape the infrastructure that trains and evaluates the most advanced AI systems in the world? We're looking for a Senior Python Full-Stack Engineer to design and build the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on.
This is a fully remote, flexible contract role for an experienced engineer who thrives on high-impact, technically challenging work. If you've spent years building production Python systems and want to apply that experience at the frontier of AI development - this is the role.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 20-40 hours/week
What You'll Do
  • Design, build, and optimize high-performance Python systems supporting AI data pipelines and evaluation workflows
  • Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control
  • Improve reliability, performance, and safety across existing Python codebases
  • Collaborate with data, research, and engineering teams to support model training and evaluation workflows
  • Identify bottlenecks and edge cases in data and system behavior, and implement scalable, production-ready fixes
  • Participate in synchronous design reviews to iterate on system architecture and implementation decisions
Who You Are
  • Native or fluent English speaker with clear written and verbal communication skills
  • Full-stack developer with a strong systems programming background
  • 5+ years of professional experience writing production Python for data engineering
  • Proficient with workflow orchestration tools to manage complex dependency graphs
  • Experienced with dataframe processing libraries and cloud data warehouse SDKs in Python
  • Self-directed and reliable - able to commit 20-40 hours per week and deliver consistently
Nice to Have
  • Prior experience with data annotation, data quality, or model evaluation systems
  • Familiarity with AI/ML workflows, model training pipelines, or benchmarking infrastructure
  • Experience with distributed systems or developer tooling
  • Background working with or alongside AI research teams
Why Join Us
  • Work on real production systems used by leading AI research labs
  • Fully remote and async-friendly - work from wherever you do your best work
  • Freelance autonomy with the structure and consistency of ongoing project-based work
  • Make a tangible impact on the infrastructure powering next-generation AI models
  • Potential for extended engagement and additional projects as the work evolves