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Python Sql Jobs in Seattle, WA (NOW HIRING)

Deloitte

Senior AI Engineer - SFL Scientific

Seattle, WA · On-site

$118.90K - $163.30K/yr

... Python, SQL, PowerShell, etc. • 2+ years of experience managing teams in technical delivery and delivering complex and critical projects • 2+ years of experience in DevOps and leveraging CI/CD ...

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Amazon

Senior Business Analyst, Relay Trust

Bellevue, WA · On-site

$104.40K - $134.90K/yr

This role will directly be responsible for maintaining front end code using Python, SQL and/or other similar coding languages. Proficiency in the aforementioned languages is not required, but an ...

Anthropic

Data Scientist, Platform Product

Seattle, WA · On-site

Proficiency in Python, SQL, and data visualization tools * Expertise in experimental design, causal inference, statistical modeling, and A/B testing, particularly in high-scale technical environments

Deloitte

Lead Agentic Delivery Engineer

Bellevue, WA · On-site

Manage delivery workstreams and guide teams in using Python, SQL, cloud platforms, and modern data tools to solve business problems * Define and monitor KPIs related to solution quality, model ...

Deloitte

Lead Agentic Delivery Engineer

Seattle, WA · On-site

Manage delivery workstreams and guide teams in using Python, SQL, cloud platforms, and modern data tools to solve business problems * Define and monitor KPIs related to solution quality, model ...

Pwc

GenAI Python Systems Engineer-Manager

Seattle, WA · On-site

$99K - $232K/yr

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

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How much do python sql jobs pay per hour?

As of May 30, 2026, the average hourly pay for python sql in Seattle, WA is $66.71, according to ZipRecruiter salary data. Most workers in this role earn between $55.00 and $75.77 per hour, depending on experience, location, and employer.

What is a Python SQL job?

A Python SQL job typically involves using Python programming and SQL databases to develop, manage, and analyze data. Professionals in this role work with databases to write queries, retrieve and manipulate data, automate tasks, and optimize performance. Common responsibilities include database querying, data analysis, ETL processes, and backend development. These roles are common in industries like finance, healthcare, and technology, where data management and processing are critical.

What are the key skills and qualifications needed to thrive in the Python Sql position, and why are they important?

To excel in a Python SQL role, you should have strong programming skills in Python, a solid understanding of SQL for database querying, and a relevant degree in computer science or a related field. Experience with data analysis tools, relational database systems like MySQL or PostgreSQL, and certifications such as Microsoft SQL Server or Python programming can be advantageous. Strong problem-solving abilities, attention to detail, and clear communication are critical soft skills for this position. These competencies are necessary to efficiently manipulate data, create robust solutions, and collaborate across technical and non-technical teams.

What are some typical projects or tasks a Python SQL professional might work on?

Python SQL professionals often work on data extraction, transformation, and loading (ETL) processes, as well as analyzing large datasets to generate reports and insights for business decision-making. They may develop automated scripts to streamline data workflows and ensure data quality, or assist with database design and optimization. Collaboration with data analysts, engineers, and business stakeholders is common, so comfort working both independently and as part of a cross-functional team is beneficial. These tasks help organizations make data-driven decisions and maintain efficient, reliable data systems.
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Python Sql jobs near you
Infographic showing various Python Sql job openings in Seattle, WA as of May 2026, with employment types broken down into 74% Full Time, 13% Part Time, and 13% Contract. Highlights an 69% Physical, 6% Hybrid, and 25% Remote job distribution, with an average salary of $138,762 per year, or $66.7 per hour.
Senior AI Engineer - SFL Scientific

Senior AI Engineer - SFL Scientific

Deloitte

Seattle, WA • On-site

$118.90K - $163.30K/yr

Full-time

Posted 2 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 138 rated financial services

Job description

Job Summary:
Deloitte's Strategy & Transactions team is seeking a Senior AI Engineer to join SFL Scientific, a Deloitte Business. In this role, you will develop AI infrastructure and deployment services, collaborating with cross-functional teams to design and implement scalable data architecture solutions for machine learning applications.
Responsibilities:
• Work with clients to design, develop, and deploy new architectures to support machine learning & automation applications
• Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on-prem technologies
• Design and lead development on scalable, high-performance data architecture solutions that supports both the client business as well as AI/GenAI use cases
• Support and enhance data architecture, and data pipelines, and define database schemas (Graph, SQL, NoSQL) to develop algorithm scalability and deployment based on agile business priorities and initiatives
• Participate in architectural and deployment discussions to ensure solutions are designed for successful scale, security, and high availability in the cloud or on prem
• Adopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patterns
• Define and lead technology proof of concepts to ensure feasibility of new data and cloud technology solutions
• Display strong thought leadership and execution in pursuit of modern data architecture principles and technology modernization
• Mentor, motivate, and coach junior members on technical best practices and inspire professional development
Qualifications:
Required:
• Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.) or equivalent experience
• 4+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment
• 4+ years of experience in designing cloud solutions and supporting production projects, including hands-on experience with AWS services (or Azure, GCP equivalents)
• 4+ years of programming experience with Linux Shell/CLI, Python, SQL, PowerShell, etc.
• 2+ years of experience managing teams in technical delivery and delivering complex and critical projects
• 2+ years of experience in DevOps and leveraging CI/CD services: Puppet, Ansible, Chef, Airflow, Terraform, Jenkins
• 2+ years of experience with database development and ETL/ELT pipelines (relational, NoSQL, Neo4j)
• 2+ years of experience with deployment and optimization: Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, etc.
• Live within commuting distance to one of Deloitte's consulting offices
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available
Preferred:
• Master's degree in Computer Science, Engineering, Physics, etc. or related STEM field
• AWS/Azure Certifications (AWS/Azure Certified: SysOps Administrator, DevOps Engineer, Solutions Architect)
• 2+ years of experience with GPU computing (CUDA, OpenCL) and HPC system software stack
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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