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Senior Python Data Analyst Jobs (NOW HIRING)

Senior Data Engineer

Irving, TX

$101.80K - $138.30K/yr

Seeking a Senior Python Data Engineer with 3 to 5 years of experience skilled in Apache Spark and ... Write clean efficient and reusable Python code to support data engineering tasks * Analyze complex ...

Python Data Analyst

Denver, CO ยท On-site

$65K - $75K/yr

As a Python Data Analyst, you will work with our Trading department to analyze complex datasets ... senior management. * Experience with Google Cloud, BigQuery, financial markets, fintech, Linux and ...

Senior Python/Spark developer

Princeton, NJ ยท On-site

$127.40K - $171.40K/yr

Good data analysis skills * Any experience with Spark or Hadoop is a plus In this position, you will work as a senior Python developer and also as a data analyst, which involves reviewing data in our ...

Senior Python/Spark developer

Princeton, NJ ยท On-site

$127.40K - $171.40K/yr

Good data analysis skills * Any experience with Spark or Hadoop is a plus In this position, you will work as a senior Python developer and also as a data analyst, which involves reviewing data in our ...

Python, Java, Spark, SQL, Databricks, RESTful APIs, AWS Glue, ECS S3 The role is to continue to ... This work involves building pipelines to get data into the platform, update drools based rules, and ...

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Senior Python Data Analyst information

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$55K

$99.2K

$135.5K

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

As of Jun 4, 2026, the average yearly pay for senior python data analyst in the United States is $99,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $108,500.00 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.

More about Senior Python Data Analyst jobs
What cities are hiring for Senior Python Data Analyst jobs? Cities with the most Senior Python Data Analyst job openings:
What are the most commonly searched types of Python Data Analyst jobs? The most popular types of Python Data Analyst jobs are:
What states have the most Senior Python Data Analyst jobs? States with the most job openings for Senior Python Data Analyst jobs include:
Infographic showing various Senior Python Data Analyst job openings in the United States as of May 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $99,231 per year, or $47.7 per hour.

Senior Python Data Engineer

Purple Drive Technologies

Dallas, TX โ€ข On-site

$120.20K - $161.70K/yr

Full-time

Posted 6 days ago


Job description

Overview:
Job Title
Senior Python Data Engineer
Location
Dallas, TX (Hybrid - 3 days/week onsite)
Experience
8-10 years total | 5+ years hands-on Python
Job Overview
We are looking for a Senior Python Data Engineer with strong experience in building enterprise-scale automation and data solutions. The ideal candidate will work closely with business stakeholders to convert manual workflows into robust, scalable, and fault-tolerant automated processes within complex data environments.
Key Responsibilities
  • Design, develop, and maintain Python-based automation solutions in enterprise environments
  • Automate business processes with focus on reliability, performance, and scalability
  • Build and optimize data pipelines integrating Python with SQL Server and Snowflake
  • Write efficient and optimized SQL queries, stored procedures, and performance tuning
  • Implement error handling, logging, scheduling, and monitoring for automation workflows
  • Integrate Python solutions with APIs, databases, and cloud services
  • Collaborate with business and technical teams to translate requirements into automation solutions
  • Follow best practices for version control, CI/CD, and secure deployments
Required Technical Skills
Primary Skills
  • Python (5+ years professional experience)
    • pandas, SQLAlchemy, requests, PyTest
    • Automation scripting, workflow orchestration
  • SQL Server
    • Advanced SQL queries, stored procedures, performance troubleshooting
  • Snowflake
    • Snowflake SQL
    • Data pipeline integration with Python
Secondary / Supporting Skills
  • Git-based version control
  • CI/CD pipelines (enterprise deployment practices)
  • Experience working in large-scale data environments
  • Strong debugging, performance optimization, and documentation skills
Nice to Have
  • Experience with AWS or hybrid cloud environments
  • Integrating Python automation with cloud-based services
  • Exposure to secure enterprise deployment models
Competencies
  • Digital Competency: Python
  • Strong problem-solving and analytical skills
  • Ability to work independently and in cross-functional teams
Work Model
  • Hybrid - 3 days per week onsite in Dallas, TX