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Entry Level Python Data Analysis Jobs in Seattle, WA

... for entry level Applied Scientists (through student worker program) with strong Python coding ... Leveraging data from various sources and domains to design and implement innovative solutions that ...

... Python, R, and/or SQL; willingness to learn new tools as needed Expert at wrangling data and conducting thorough data analyses Pragmatic, team-oriented; builds rapport and respect Strong ...

Perform both geographic and non-geographic data manipulation, data management and analysis, and ... Basic familiarity with programming languages (for example Python, R, or Visual Basic) * Familiarity ...

Data Engineer

Seattle, WA

$130K - $156K/yr

... and Python. * Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS). * Data warehousing experience (Azure Synapse Analytics) and ...

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

ANSI-SQL, Azure BLOB, Azure Data Factory, AZURE DATA LAKE, Azure Functions, Azure SQL, Azure Synapse Analytics, Databricks, Java, Python, Scala, Snowflake

for Lead Data Analyst Contractor Position - Client's Project GENERAL SUMMARY Under the specific ... Utilize tools such as SQL, Python/R, Power BI, Tableau, or similar platforms for analysis and ...

Advanced proficiency with Python for data analysis * Must be fluent in either keras or tensorflow * Experience with large data sets (10 million+ rows) * Ability to convey rigorous mathematical ...

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Entry Level Python Data Analysis information

See Seattle, WA salary details

$15

$37

$70

How much do entry level python data analysis jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for entry level python data analysis in Seattle, WA is $37.47, according to ZipRecruiter salary data. Most workers in this role earn between $24.09 and $41.88 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Python Data Analysis vs Data Analyst?

AspectEntry Level Python Data AnalysisData Analyst
Required SkillsPython, SQL, basic statistics, data visualizationExcel, SQL, statistics, data visualization
CertificationsPython programming, data analysis coursesExcel, Tableau, SQL certifications
Work EnvironmentTech companies, startups, data-driven teamsBusiness, finance, healthcare sectors
Typical TasksData cleaning, scripting in Python, creating dashboardsData reporting, analysis, presenting insights

Entry Level Python Data Analysis focuses on using Python for data manipulation and visualization, often requiring programming skills. Data Analysts may use a broader set of tools like Excel and Tableau but also perform similar data interpretation tasks. Both roles are entry-level positions in data teams, but Python skills give an edge in automation and handling larger datasets.

What are the most commonly searched types of Python Data Analysis jobs in Seattle, WA? The most popular types of Python Data Analysis jobs in Seattle, WA are:
What are popular job titles related to Entry Level Python Data Analysis jobs in Seattle, WA? For Entry Level Python Data Analysis jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Entry Level Python Data Analysis jobs in Seattle, WA look for? The top searched job categories for Entry Level Python Data Analysis jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Entry Level Python Data Analysis jobs? Cities near Seattle, WA with the most Entry Level Python Data Analysis job openings:
Need: Senior Python Engineer: Snoqualmie, WA (Need Only Locals)

Need: Senior Python Engineer: Snoqualmie, WA (Need Only Locals)

SPAR Information Systems LLC

Snoqualmie, WA • On-site

Contractor

Posted 7 days ago


Job description

Hello All, Hope you are doing great Please go through the job description and let me know your interest. Job Title: Senior Python Engineer Work Location: Snoqualmie, WA (Hybrid from Day 1) (Need Only Locals) Duration: Long Term Contract Key Responsibilities • Design, develop, and deploy Python-based ML solutions for large-scale data analysis. • Build ETL/data pipelines to process structured and unstructured datasets. • Perform exploratory data analysis (EDA), feature engineering, and model evaluation. • Collaborate with data scientists, analysts, and business teams to translate business problems into technical solutions. • Optimize models for scalability, performance, and accuracy. • Mentor junior engineers and review code for quality and best practices. Required Skills & Experience • Strong proficiency in Python (Pandas, NumPy, Scikit-learn, FastAPI/Flask). • Experience with machine learning workflows: data preprocessing, model training, evaluation, and deployment preferably using Microsoft stack – Azure ML, Azure Data Factory, Synapse Analytics, and related Microsoft AI/ML tools. • Knowledge of cloud-based MLOps practices. • Strong SQL and data modelling skills. • Experience with deep learning frameworks (PyTorch, TensorFlow) is nice to have. • Knowledge of containerization (Docker, Kubernetes) is nice to have.
Thanks & Regards,
Satnam Singh
Email : Satnam.singh@sparinfosys.com