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Senior Python Data Analyst Jobs (NOW HIRING)

Senior Python/Spark developer

Princeton, NJ ยท On-site

$127K - $171K/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

$127K - $171K/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 Developer/Data Engineer

Spring, TX ยท On-site

$42.50 - $58.50/hr

Sr. Python Data Engineer - 12 Month Contract - Spring, TX Overview: We are seeking an experienced Reservoir Engineer Contractor to work closely with our reservoir engineering and analyst teams to ...

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 ...

Sr. Python Developer

San Mateo, CA ยท On-site

$138K - $186K/yr

Senior Python Developer Urgently hiring senior Python developers (10+ years, strong in coding, data ... Hands-on experience in Python programming. Good analytical and problem-solving abilities.

Sr. Python Developer

Stamford, CT ยท On-site

$129K - $174K/yr

Senior Python Developer Urgently hiring senior Python developers (10+ years, strong in coding, data ... Hands-on experience in Python programming. Good analytical and problem-solving abilities.

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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 24, 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 June 2026, with employment types broken down into 2% Locum Tenens, 87% Full Time, 5% Part Time, 3% Temporary, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $99,231 per year, or $47.7 per hour.

Senior Python Data Engineer

Accord Technologies Inc.

Hartford, CT โ€ข Remote

$117K - $140K/yr

Contractor

Posted 20 days ago


Job description

Job Title: Sr. Python Data Engineer (Python, MongoDB, PowerBI and Data Extraction, ability to write code)
Location: Hartford, CT
Position type: W2 contractย 
Duration: 12+ months extendable.

Mandatory skills:
Strong Python candidate having exp in Mondo DB, PowerBI and Data ExtractionOverview

We are seeking a motivated and skilled Data Engineer to join our team. The ideal candidate will have strong proficiency inย Python, knowledge of MongoDB, and experience withย Power BI.ย This role will primarily focus on buildingย data extracts and data feeds for downstream systems, including Ledger, Reporting, and Boudreaux. You will be responsible forย writing the code necessary to deliver the required data based on predefined definitions

Responsibilities:

  • ย Data Extraction and Transformation: Write efficient and scalable Python code to extract and transform data from various sources, ensuring it meets the requirements for downstream systems.
  • MongoDB Management: Utilize MongoDB for storing and managing data. Design and optimize data models and queries to ensure high performance and reliability.
  • Power BI Integration: Collaborate with stakeholders to deliver data in a format suitable for reporting and visualization in Power BI. Ensure that the data aligns with business needs and reporting requirements.
  • Data Feed Development: Develop and maintain data feeds for downstream systems, including Ledger and Boudreaux, ensuring timely and accurate data delivery.
  • Collaboration with Stakeholders: Work closely with business analysts and other stakeholders to understand data definitions and requirements, translating them into technical specifications.
  • Documentation: Maintain comprehensive documentation of data pipelines, data models, and technical specifications to support knowledge sharing and compliance.
  • Quality Assurance: Implement data validation and quality checks to ensure the accuracy and integrity of the data being delivered.

Requirements:

  • Bachelorโ€™s degree in Computer Science, Data Engineering, Information Technology, or a related field.
  • Minimum of 9 years of experience in data engineering or a related field.
  • Strong experience in Python programming, particularly in data manipulation and ETL processes.
  • Solid knowledge ofย MongoDB and experience in database design and management.
  • Familiarity withย Power BI for creating reports and dashboards.
  • Experience in building data extracts and feeds for business applications.
  • Analytical Skills: Strong analytical and problem-solving skills with a focus on delivering high-quality data solutions.
  • Communication: Excellent verbal and written communication skills, with the ability to clearly convey technical concepts to both technical and non-technical stakeholders.
  • Team Player: Ability to work collaboratively in a fast-paced, team-oriented environment.