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Remote Python Data Analysis Jobs in Hartford, CT

Associate Bus Data Analysis

Hartford, CT · On-site +1

$54K - $81K/yr

Associate Bus Data Analysis - GA09AN We're determined to make a difference and are proud to be an ... Bachelor's Degree in Business preferred This role can have a Hybrid or Remote work arrangement.

Partner with analytics teams to ensure data models support dashboards, adhoc analysis, and ... Strong handson experience with Python for data engineering and automation. Proven ability to ...

Data Architect

Hartford, CT · Remote

$64.25 - $82.75/hr

Data Architect Location: Hartford, CT (Remote right now) Duration: 12+Months Mandatory Skills ... Strong knowledge of analysis tools such as Python, R, Spark or SAS, Shell scripting, R/Spark on ...

Partner with analytics teams to ensure data models support dashboards, adhoc analysis, and ... Strong handson experience with Python for data engineering and automation. Proven ability to ...

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Remote Python Data Analysis information

See Hartford, CT salary details

$13

$59

$87

How much do remote python data analysis jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for remote python data analysis in Hartford, CT is $59.13, according to ZipRecruiter salary data. Most workers in this role earn between $48.75 and $67.16 per hour, depending on experience, location, and employer.
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What cities near Hartford, CT are hiring for Remote Python Data Analysis jobs? Cities near Hartford, CT with the most Remote Python Data Analysis job openings:
Infographic showing various Remote Python Data Analysis job openings in Hartford, CT as of May 2026, with employment types broken down into 79% Full Time, 16% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,995 per year, or $59.1 per hour.

Senior Python Data Engineer

Accord Technologies Inc.

Hartford, CT • Remote

$117.20K - $140.70K/yr

Contractor

Posted just now


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.