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Senior Python Data Science Jobs (NOW HIRING)

HCL Global Systems

Python Developer/Data Engineer

Spring, TX · On-site

$42.50 - $58.50/hr

Sr. Python Data Engineer - 12 Month Contract - Spring, TX Overview: We are seeking an experienced ... Experience collaborating with engineering or scientific teams to productionize existing code.

Palnar

Sr. Python Data Engineer

Mclean, VA · On-site

Python, Java, Spark, SQL, Databricks, RESTful APIs, AWS Glue, ECS S3 The role is to continue to ... take the models built by our data science team and make them production ready and scalable.

My3Tech Inc

Remote - Sr Python Developer

$124K - $167K/yr

Sr. Python Developer Position: Remote Location: Remote Duration: 1 year Technical Skill Sets ... Expert level knowledge on implementing python software solutions - data engineering, data science ...

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

As of Jun 28, 2026, the average yearly pay for senior python data science in the United States is $141,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $163,500.00 per year, depending on experience, location, and employer.

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

AspectSenior Python Data ScienceData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, data visualization, basic statistics
Work EnvironmentData science teams, R&D, product developmentBusiness units, reporting, operational analysis
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Senior Python Data Scientists focus on advanced analytics, machine learning, and building predictive models using Python, often working in R&D or product teams. Data Analysts primarily handle data reporting, visualization, and basic statistical analysis to support business decisions. While both roles require data handling skills, Senior Python Data Science roles demand deeper technical expertise and experience with complex algorithms.

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What cities are hiring for Senior Python Data Science jobs? Cities with the most Senior Python Data Science job openings:
What are the most commonly searched types of Python Data Science jobs? The most popular types of Python Data Science jobs are:
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Senior Python Data Science jobs near you
Infographic showing various Senior Python Data Science job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 47% Full Time, 47% Part Time, and 5% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $141,976 per year, or $68.3 per hour.

Senior Python Data Engineer

Accord Technologies Inc.

Hartford, CT • Remote

$117K - $140K/yr

Contractor

Posted 24 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 contract 
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 in Python, knowledge of MongoDB, and experience with Power BI. This role will primarily focus on building data extracts and data feeds for downstream systems, including Ledger, Reporting, and Boudreaux. You will be responsible for writing the code necessary to deliver the required data based on predefined definitions

Responsibilities:

  •  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:

  • Bachelor’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 of MongoDB and experience in database design and management.
  • Familiarity with 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.