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Python Sql Jobs in Seattle, WA (NOW HIRING)

Proficiency in Python; SQL for data manipulation and transformation. • Data Wrangling: Experience with data preparation, feature engineering, and data transformation. • Problem Solving: Strong ...

Data Scientist

Bellevue, WA · On-site

$160 - $200/hr

Strong programming skills in Python, SQL, and other data science tools are essential. Communicate technical concepts and findings to both technical/non-technical team members. Collaborate with ...

New

Proficiency in Python; SQL for data manipulation and transformation. • Data Wrangling: Experience with data preparation, feature engineering, and data transformation. • Problem Solving: Strong ...

Digital Analyst Internships

Seattle, WA · On-site

$112K - $132K/yr

Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore or other Content Management Systems Company Description At Beckman Coulter Diagnostics, part of the ...

Digital Analyst Internships

Tacoma, WA · On-site

$105K - $125K/yr

Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore or other Content Management Systems Company Description At Beckman Coulter Diagnostics, part of the ...

Digital Analyst Internships

Bellevue, WA · On-site

$110K - $130K/yr

Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore or other Content Management Systems Company Description At Beckman Coulter Diagnostics, part of the ...

Showing results 21-40

Python Sql information

See Seattle, WA salary details

$15

$66

$98

How much do python sql jobs pay per hour?

As of Aug 20, 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?

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 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.

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.

Is Python and SQL a good combination?

Python and SQL are commonly used together in data analysis, database management, and backend development roles. Python's libraries like SQLAlchemy and pandas facilitate database interactions, making this combination valuable for automating data workflows and building data-driven applications.

Is Python and SQL enough to get a job?

For a Python SQL role, proficiency in both programming and database management is essential. While Python and SQL are core skills, employers often value additional knowledge such as data analysis, version control, and familiarity with frameworks or cloud platforms. Certifications and practical experience can also improve job prospects in this field.

What jobs can you get with SQL and Python?

Jobs that require SQL and Python include data analyst, data scientist, database administrator, backend developer, and machine learning engineer. These roles involve data management, analysis, automation, and building data-driven applications, often requiring knowledge of related tools like Pandas, SQL databases, and cloud platforms.

What job categories do people searching Python Sql jobs in Seattle, WA look for?

The top searched job categories for Python Sql jobs in Seattle, WA are:

Infographic showing various Python Sql job openings in Seattle, WA as of August 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 78% In-person, 11% Hybrid, and 11% Remote job distribution, with an average salary of $138,762 per year, or $66.7 per hour.

Senior Product Manager - Growth Marketing

Jobtailor

Seattle, WA • On-site

$130 - $170/hr

Other

Posted 15 days ago


Job description

Responsibilities
  • Drive product development across data, automation, and AI/ML capabilities to support marketing scalability and efficiency
  • Collaborate with engineering, data science, and analytics teams to deliver robust measurement and optimization tools
  • Translate complex technical concepts into actionable product requirements and communicate them effectively across stakeholders
  • Lead initiatives to integrate generative AI into marketing workflows, including content generation and ad creative optimization
  • Conduct market and trend analysis to inform product strategy and identify opportunities for innovation
  • Build a deep understanding of data infrastructure and source data dictionaries and database schema for wider use
  • Write user stories, acceptance criteria, hypotheses, and success metrics for new product features or enhancements
Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or equivalent experience
  • 6+ years of product management experience, ideally in marketing platforms, data products, and AI/ML applications
  • Strong technical acumen with experience in data engineering, workflow orchestration, and machine learning operations
  • Excellent communication skills with the ability to influence cross-functional teams and stakeholders
  • Experience with Python, SQL, Java, HQL, Hive, Pyspark, or similar programming languages preferred
  • Well-versed in design thinking principles
  • Great problem-solving and analytical skills
Core Competencies

Demonstrates expertise in product management with a focus on data, automation, and AI/ML capabilities to enhance marketing efficiency. Proficient in translating technical concepts into actionable requirements while collaborating effectively with cross-functional teams.

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