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Python Engineer Jobs in New Hampshire (NOW HIRING)

Analogic

Full Stack Engineering Lead

Salem, NH

Stay Hands-On Across the Stack Design and build high-performance applications using Java, Python, and Go , contributing directly to critical systems. Elevate DevOps & Infrastructure Build and ...

ATR International

Senior Cloud Engineer

Merrimack, NH · On-site

$125K - $165K/yr

... Python, Cassandra database and knowledge of cloud platform, although we're open to strong ... developers with experience in other languages or frameworks and a desire to learn. Enterprise ...

ATR International

Senior Cloud Engineer

Merrimack, NH · On-site

$125K - $165K/yr

... Python, Cassandra database and knowledge of cloud platform, although we're open to strong ... developers with experience in other languages or frameworks and a desire to learn. Enterprise ...

Eliassen Group

Senior Software Engineer

Manchester, NH · On-site

$70 - $80/hr

The Senior Software Engineer will develop, test, deliver, and support workflow-driven features that ... Build, deploy, and support production web applications using languages such as Python and ...

SynergisticIT

AI Engineer - Junior

Manchester, NH · On-site

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers. Who Should Apply Recent ...

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Showing results 1-20

All JobsPython Engineer JobsPython Engineer Jobs in New Hampshire

Python Engineer information

See New Hampshire salary details

$22.4K

$136.1K

$196.9K

How much do python engineer jobs pay per year?

As of Jun 23, 2026, the average yearly pay for python engineer in New Hampshire is $136,123.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $160,000.00 per year, depending on experience, location, and employer.

Will AI replace Python coders?

AI is a tool that can automate certain programming tasks, but Python engineers are essential for designing, developing, and maintaining complex software systems. AI can assist with code generation and testing, but human expertise remains critical for problem-solving, creativity, and understanding project requirements. Python developers who adapt to new tools and continuously update their skills will remain valuable in the evolving tech landscape.

What is the difference between Python Engineer vs Data Scientist?

AspectPython EngineerData Scientist
Required CredentialsBachelor's in CS, Software Engineering, or related; Python proficiencyBachelor's or higher in Data Science, Statistics, or related; Python and analytical skills
Work EnvironmentSoftware development teams, coding, testing, deploymentData analysis, modeling, visualization, research
Employer & Industry UsageTech companies, startups, software firmsFinance, healthcare, e-commerce, research institutions
Common Search & ComparisonYesYes

Python Engineers focus on developing and maintaining software applications using Python, while Data Scientists analyze data to extract insights, often using Python for data manipulation and modeling. Both roles require Python skills but serve different primary functions within organizations.

Is Python a high paying job?

Python engineers are generally well-compensated due to the high demand for their skills in data analysis, machine learning, and web development. Salaries vary based on experience, location, and industry, but Python development roles often offer competitive pay compared to other programming positions.

What does a Python Engineer do?

A Python Engineer is a software professional who specializes in designing, developing, and maintaining applications using the Python programming language. They work on a variety of projects, including web development, data analysis, automation, and machine learning. Python Engineers collaborate with other team members to write clean and efficient code, debug issues, and ensure the performance and scalability of applications. Their expertise in Python allows them to leverage its libraries and frameworks to solve complex problems across different industries.

How much does a Python engineer make?

The average salary for a Python engineer varies by experience and location but typically ranges from $80,000 to $130,000 annually. Senior Python developers with specialized skills in frameworks, data analysis, or machine learning can earn higher salaries, especially in competitive markets.

What do Python engineers do?

Python engineers develop, test, and maintain software applications using the Python programming language. They often work with frameworks like Django or Flask, write clean code, and collaborate with teams to deliver scalable solutions. Strong problem-solving skills and knowledge of data structures, algorithms, and version control are essential in this role.

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

To thrive as a Python Engineer, you need strong programming skills in Python, a solid understanding of computer science fundamentals, and experience with software development practices, often supported by a relevant degree or certification. Familiarity with frameworks like Django or Flask, version control systems such as Git, and cloud platforms like AWS or Azure are typically required. Excellent problem-solving abilities, attention to detail, and effective communication set top performers apart in this role. These skills and qualities are crucial for building scalable, maintainable code and collaborating efficiently within development teams.

How do Python Engineers typically collaborate with other team members during the software development lifecycle?

Python Engineers work closely with cross-functional teams, including front-end developers, QA testers, product managers, and DevOps specialists. Collaboration often involves participating in code reviews, daily stand-up meetings, and sprint planning sessions to ensure alignment on project goals and technical requirements. Effective communication and using collaborative tools like Git, Jira, and Slack are essential for managing tasks, sharing updates, and resolving issues efficiently. This teamwork-driven environment helps deliver high-quality software and supports continuous learning from peers.

What Does a Python Engineer Do?

As a Python engineer, your job is to use the Python programming language and develop code for your company. Your duties include creating a new application, integrating Python software with an existing system, or testing existing code to iron out bugs. Most employers hiring for this role have specific goals for projects in mind, and it is your job to turn those goals into reality in the most effective way. You’re also expected to use other programming skills, particularly involving Django, JavaScript, and database architecture.

More about Python Engineer jobs
What are popular job titles related to Python Engineer jobs in New Hampshire? For Python Engineer jobs in New Hampshire, the most frequently searched job titles are:
What job categories do people searching Python Engineer jobs in New Hampshire look for? The top searched job categories for Python Engineer jobs in New Hampshire are:
What are popular job titles related to Python Engineer jobs in NH? For Python Engineer jobs in NH, the most frequently searched job titles are:
Python Engineer jobs near you
Infographic showing various Python Engineer job openings in New Hampshire as of June 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $136,123 per year, or $65.4 per hour.

Principal Data Engineer

Fidelity Investments

Merrimack, NH • On-site

Full-time

Posted 15 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 264 frontline employees who took The Breakroom Quiz

14th of 138 rated financial services

Job description

Job Description:
Position Description:
Develops data pipelines that support next generation surveillance solutions on a wide range of anti-money laundering (AML) typologies, primarily supporting the team's work in the money movement, trading, and cryptocurrency space. Collaborates across teams to understand the various regulatory (FINRA, OCC, and FinCEN) red flags and risks, and acquires data, performs data analysis, and builds new features to improve detection. Works with machine learning (ML) models, rewrites legacy models, and supports the data preparation for reporting efforts. Simplifies infrastructure and production support complexity. Develops model performance metrics and makes model adjustments accordingly to ensure models are performing optimally. Develops features using various technologies -- Data Build Tool (DBT), Snowflake, SQLMesh, and Python. Assists in the architectural design and implementation of the transaction monitoring platform that enables and scales the newest business initiatives, including digital assets and other emerging technologies. Creates robust testing scenarios, including unit testing, regression testing, and model performance.
Primary Responsibilities:
  • Provides technical leadership, mentoring, and training to other team members through code reviews, collaboration, and educational presentations.
  • Explores new technologies and emerging trends and determines their applicability to use cases and orchestrates the adoption of technologies and trends.
  • Develops complex or multiple data engineering solutions and conducts studies of alternatives to translate divisional initiatives into business solutions.
  • Analyzes and recommends changes in project development policies, procedures, standards, and strategies to development experts and management.
  • Participates in architecture design teams.
  • Defines and implements application-level architecture.
  • Develops applications, components, and subsystems to support division-wide complex projects.
  • Recommends development testing tools and methodologies.
  • Establishes full project life cycle plans for complex projects across multiple platforms.
  • Advises on risk assessment and risk management strategies for projects.
  • Plans and coordinates project schedules and assignments for multiple projects.
  • Provides technology solutions to daily issues and estimates technical evaluation requirements for technology initiatives.
  • Mentors junior team members.

Education and Experience:
Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Principal Data Engineer (or closely related occupation) developing data pipelines using Continuous Integration and Continuous Delivery (CI/CD) and deploying code and services to cloud-based data platforms -- DbT and Snowflake.
Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) year of experience as a Principal Data Engineer (or closely related occupation) developing data pipelines using Continuous Integration and Continuous Delivery (CI/CD) and deploying code and services to cloud-based data platforms -- DbT and Snowflake.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") developing high quality data solutions in a multi-developer Agile environment according to design and coding best practices; and developing Extract, Load, Transform (ELT) and Extract, Transform, Load (ETL) pipelines to migrate data to and from Snowflake data store, using DbT, Python, and SQLMesh.
  • DE assembling large, complex data sets that meet functional and non-functional business requirements; designing and implementing internal process improvements -- automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability, using Jira, Confluence, Tableau, and Actimize.
  • DE designing, implementing, and maintaining scalable ETL/ELT pipelines, using tools (DbT and Snowflake); automating deployments and testing workflows, using Jenkins and GitHub; contributing to codebases using Git, conducting code reviews, and collaborating, using GitHub; writing unit and integration tests for data pipelines, using PyTest and DbT frameworks; and creating and maintaining technical documentation, runbooks, and onboarding guides.
  • DE manipulating, processing, and extracting value from large, disparate datasets, using Alteryx, Snowflake, DbT, SQLMesh, and Python; working in financial crime typologies, AML/BSA regulations, or fraud detection methodologies.

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Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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