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Senior Python Developer Jobs in Springfield, MA (NOW HIRING)

Georgia IT, Inc.

Senior Data Architect

Windsor, CT · On-site

$67 - $89.50/hr

Georgia IT, Inc. is seeking a Senior Data Architect to lead enterprise data architecture and ... and Python/SQL • Snowflake expertise • Degree in Computer Science, Engineering, or related ...

Quest Global

Senior Lead Engineer

Windsor, CT

$140K/yr

Job Requirements Quest Global delivers world-class end-to-end engineering solutions by leveraging ... Python; Pandas; NumPy; AirFlow; Shell scripting; PL/SQL; Postgres SQL, and; GitHub. Required ...

New

Mtholyoke

Senior Network Engineer

South Hadley, MA · On-site

$101K/yr

R-0000003048 Position Title: Senior Network Engineer Faculty or Staff: Staff Full Time or ... Knowledge of scripting languages (Python, Perl) for task automation. * Experience working in higher ...

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All JobsPython Developer JobsSenior Python Developer JobsSenior Python Developer Jobs in Springfield, MA

Senior Python Developer information

See Springfield, MA salary details

$54.8K

$141.5K

$194.3K

How much do senior python developer jobs pay per year?

As of Jul 8, 2026, the average yearly pay for senior python developer in Springfield, MA is $141,479.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,100.00 and $162,900.00 per year, depending on experience, location, and employer.

What are the main responsibilities of a Senior Python Developer?

A Senior Python Developer is responsible for designing, developing, and maintaining complex software applications using the Python programming language. They lead the technical aspects of projects, mentor junior developers, and ensure code quality through code reviews and best practices. Additionally, they collaborate with cross-functional teams to gather requirements, solve technical challenges, and deploy scalable and efficient solutions. Senior Python Developers are also expected to stay updated with the latest trends and advancements in Python and related technologies.

What is the difference between Senior Python Developer vs Python Developer?

AspectSenior Python DeveloperPython Developer
Required ExperienceTypically 5+ years, with leadership and complex project experienceUsually 1-3 years, focusing on core Python skills
ResponsibilitiesDesigning architecture, mentoring, handling complex systemsWriting code, debugging, implementing features
CertificationsOptional but beneficial (e.g., Python certifications, cloud certs)Often not required
Work EnvironmentCollaborative teams, project planning, code reviewsDevelopment-focused, task-oriented

The main difference between a Senior Python Developer and a Python Developer lies in experience, responsibilities, and leadership. Senior developers handle complex projects, mentor others, and often participate in architecture decisions, while Python Developers focus on coding and feature implementation. Both roles are essential in tech companies, but the senior role requires more experience and broader skills.

What are the key skills and qualifications needed to thrive as a Senior Python Developer, and why are they important?

To thrive as a Senior Python Developer, you need advanced proficiency in Python programming, experience with software architecture, and a solid understanding of algorithms and data structures, usually backed by a degree in computer science or related fields. Familiarity with frameworks like Django or Flask, version control systems such as Git, and containerization tools like Docker are typically required, alongside knowledge of modern CI/CD pipelines. Strong problem-solving abilities, effective communication, and leadership skills help you collaborate with teams and mentor junior developers. Mastery of these skills ensures the delivery of scalable, maintainable software solutions and the ability to drive technical excellence within development teams.

What are some common challenges faced by Senior Python Developers when leading a development team?

Senior Python Developers often encounter challenges such as balancing hands-on coding with mentoring junior team members and ensuring code quality across the team. They are also responsible for making architectural decisions, which requires staying updated on best practices and emerging Python frameworks. Additionally, coordinating collaboration between cross-functional teams (like DevOps, QA, and front-end developers) can be complex, especially in agile environments where requirements may shift rapidly. Overcoming these challenges helps foster a productive and innovative team culture.
What are the most commonly searched types of Python Developer jobs in Springfield, MA? The most popular types of Python Developer jobs in Springfield, MA are:
What are popular job titles related to Senior Python Developer jobs in Springfield, MA? For Senior Python Developer jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Senior Python Developer jobs in Springfield, MA look for? The top searched job categories for Senior Python Developer jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Senior Python Developer jobs? Cities near Springfield, MA with the most Senior Python Developer job openings:
Senior Python Developer jobs near you
Sr Staff Data Engineer

Sr Staff Data Engineer

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site

Full-time

Posted 26 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 109 frontline employees who took The Breakroom Quiz

51st of 278 rated insurance

Job description

Sr Staff Data Engineer - GE07DE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
The Personal Insurance Loss and Demand Modeling Team is looking for a skilled Sr Staff Data Engineer to join our team. This role will focus on positioning our loss modeling frameworks for the future of personal insurance pricing, with a strong focus on telematics and 3rd party data integration.
Ideal candidates bring deep expertise in data engineering frameworks and tools (e.g., Spark, Snowflake), proficiency in programming languages (Python, SQL, PL/SQL), and experience with DevOps / DataOps pipelines, cloud platforms (AWS services), and agile methodologies (Scrum, Kanban). Familiarity with data warehousing, streaming technologies, and modern architecture such as Lakehouse and Data Mesh is highly desirable. Strong problem-solving, communication, and collaboration skills are essential, along with a proactive mindset and the ability to thrive in complex, fast-paced environments.
To succeed in this role, you should be a strong critical thinker, technical acumen and be able to derive the root causes of business problems.
This role will have a Hybrid work schedule, with the expectation of working in an office ( Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).
Responsibilities
  • Design, develop, and optimize ETL/ELT pipelines for both structured and unstructured data.
  • Mentor junior team members and engage in communities of practice to deliver high-quality data and AI solutions while promoting best practices, standards, and adoption of reusable patterns.
  • Partner with architects and stakeholders to influence and implement the vision of the AI and data pipelines while safeguarding the integrity and scalability of the environment.
  • Ingest and process large-scale datasets (e.g. telematics data) into the Enterprise Data Lake and downstream systems.
  • Curate and publish Data Products to support analytics, visualization, and machine learning use cases.
  • Collaborate with data analysts, data scientists, and BI teams to build data models and pipelines for research, reporting, and advanced analytics.
  • Apply best practices for data modeling, governance, and security across all solutions.
  • Partner with cross-functional teams to ensure alignment and delivery of high-value outcomes.
  • Monitor and fine-tune data pipelines for performance, scalability, and reliability.
  • Automate auditing, balance, reconciliation, and data quality checks to maintain high data integrity.
  • Develop self-healing pipelines with robust re-startability mechanisms for resilience.
  • Schedule and orchestrate complex, dependent workflows using tools like MWAA, Autosys, or Control-M.
  • Leverage CI/CD pipelines to enable automated integration, testing, and deployment processes.
  • Lead Proof of Concepts (POCs) and technology evaluations to drive innovation.
  • Develop AI-driven systems to improve data capabilities, ensuring compliance with industry best practices.
  • Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure.
  • Implement data observability practices to proactively monitor data health, lineage, and quality across pipelines, ensuring transparency and trust in data assets.

Required Skills & Experience:
  • Bachelor's or master's degree in computer science or a related discipline.
  • 5+ years of experience in data analysis, transformation, and development, with ideally 2+ years in the insurance industry.
  • 2+ years of experience and demonstrated expertise in event-level and trip-level telematics driving data.
  • 3+ years of experience developing and deploying large-scale data and analytics applications on cloud platforms such as AWS and Snowflake.
  • Strong proficiency in SQL, Python, and ETL tools such as Informatica IDMC for data integration and transformation (3+ years).
  • Experience designing and optimizing data models for Data Warehouses, Data Marts, and Data Fabric, including dimensional modeling, semantic layers, metadata management, and integration for scalable, governed, and high-performance analytics (3+ years).
  • 3+ years of hands-on experience in processing large-scale structured and unstructured data in both batch and near-real-time environments, leveraging distributed computing frameworks and streaming technologies for high-performance data pipelines.
  • Strong technical knowledge (AI solution leveraging Cloud and modern solutions)
  • 3+ years of experience in Agile methodologies, including Scrum and Kanban frameworks.
  • 2+ years of experience in leveraging DevOps pipelines for automated testing and deployment, ensuring continuous integration and delivery of data solutions.
  • Proficient in data visualization tools such as Tableau and Power BI, with expertise in creating interactive dashboards, reports, and visual analytics to support data-driven decision-making.
  • Ability to analyze source systems, provide business solutions, and translate these solutions into actionable steps.

Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$135,040 - $202,560
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

What The Hartford employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Hartford logo

About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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