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Senior Python Data Analyst Jobs in Plano, TX (NOW HIRING)

Sr Python developer

Plano, TX · On-site

$70 - $75/hr

Experience working with Big Data technologies * Mandatory exposure to the Financial domain and Risk ... Strong analytical and problem-solving skills For an immediate response, please share your updated ...

Senior Python Developer

Plano, TX · On-site

$116K - $157K/yr

Experience with data processing frameworks (e.g., Pandas, NumPy, PySpark) * Understanding of CI/CD ... Strong problem-solving and analytical skills Work Schedule * Standard business hours * Full-time, ...

Senior python developer

Addison, TX · On-site

$117K - $158K/yr

Senior Python Developer Onsite: 5 days a week (everyday is onsite) Location: Charlotte, NC, or ... Utilize multiple architectural components (across data, application, business) in design and ...

Senior Python Developer

Irving, TX · On-site

$74 - $78/hr

Sr Python Developer Opportunity Global Financial Firm located in Irving, TX has an immediate ... Provide in-depth analysis with interpretive thinking to define issues and develop innovative ...

PySpark/Python Data Engineer

Irving, TX · On-site

$100K - $120K/yr

PySpark/Python Data Engineer Location: Irving, TX Job Type: Full-Time Salary Range: $100,000 - $120 ... Strong SQL skills for data transformation and analysis * Experience working in distributed data ...

Senior Data Analyst Lead

Dallas, TX · On-site

$85K - $107K/yr

Pittsburgh, Cleveland, Dallas Employment Type: Full-Time Role Overview We are seeking a Senior Data Analyst Lead with deep Banking domain experience and strong hands-on expertise in SQL and Python.

Senior Python Developer

Dallas, TX · On-site

$120K - $162K/yr

Senior Python Developer AWS / Cloud Key Responsibilities: Design, develop, and maintain scalable ... Knowledge of data pipelines, ETL processes, or real-time streaming services. Exposure to ...

Data Analyst Senior

Dallas, TX · On-site +1

$85K - $107K/yr

CLA is looking to hire a Data Analyst Senior; you will make use of the Microsoft Power Platform, or a scripting language like R or Python. The Data Analyst Senior cleans up data for analysis and/or ...

Sr Business Data Analyst

Northlake, TX · On-site

$70K - $115K/yr

The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000. For roles ... Apply Python, R, or other analytics tools to enhance reporting and automation * Stay current with ...

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Senior Python Data Analyst information

See Plano, TX salary details

$52.6K

$95K

$129.7K

How much do senior python data analyst jobs pay per year?

As of Jun 25, 2026, the average yearly pay for senior python data analyst in Plano, TX is $94,973.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,300.00 and $103,800.00 per year, depending on experience, location, and employer.

What is the difference between Senior Python Data Analyst vs Data Scientist?

AspectSenior Python Data AnalystData Scientist
Required CredentialsBachelor's in Data Science, Statistics, or related field; Python proficiencyBachelor's or Master's in Data Science, Computer Science, or related; Python, R, machine learning skills
Work EnvironmentData analysis teams, business units, reportingResearch, model development, advanced analytics
Employer & Industry UsageBusiness, finance, marketing, healthcareTech companies, research institutions, finance, healthcare
Common Search & ComparisonYesYes

While both roles require Python skills and data analysis expertise, Data Scientists typically engage in advanced modeling, machine learning, and research tasks, whereas Senior Python Data Analysts focus more on interpreting data, generating reports, and supporting business decisions.

What cities near Plano, TX are hiring for Senior Python Data Analyst jobs? Cities near Plano, TX with the most Senior Python Data Analyst job openings:

Senior Python Data Scraping Engineer (Freelance)

Mindrift

Dallas, TX • Remote

$45/hr

Part-time

Posted 28 days ago


Job description

Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.

In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.

This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.

What We Do

The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.

This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.

Key Responsibilities:

  • Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  • Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.
  • Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
  • Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
  • Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.

Requirements:

  • At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).
  • Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.
  • Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.
  • Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
  • Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
  • Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)
  • Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
  • Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
  • Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks
  • Strong attention to detail and commitment to data accuracy
  • Self-directed work ethic with ability to troubleshoot independently
  • A link to GitHub is a plus
  • English proficiency: Upper-intermediate (B2) or above (required)

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $45 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.