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Entry Level Python Automation Engineer Jobs in Hartford, CT

KEYENCE

Field Application Engineer '27

Rocky Hill, CT · On-site +1

$53K - $80K/yr

... | Entry-Level | Full-Time Are you ready to launch your career with one of the world's most ... automation and technology. What You'll Do As a Field Application Engineer , you'll be at the ...

Pwc

AI Engineer

Hartford, CT · On-site

$55K - $187K/yr

... using Python and TensorFlow - Integrating data from diverse sources to support AI and machine ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

COCC

System & Cloud Engineer II - Req# 608

Avon, CT · On-site

$72K - $109K/yr

... simple automation enhancements What you'll bring... • Degree in Computer Science or related ... • Entry level certifications across Microsoft, Linux, VMware, cloud, or storage preferred ...

Corserva

OS and Application Engieer

Bristol, CT · On-site

... Engineer. This role is responsible for packaging, maintaining, testing, and deploying operating ... and Python-based automation suites, including regression, smoke, performance, and patch ...

Infosys

AI Engineer

Hartford, CT · On-site

... Python to create reusable customizations for non-ML, ML, and deep learning algorithms, while ... automation and thought leadership. • Enable team growth through knowledge sharing, training and ...

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All JobsPython Automation Engineer JobsEntry Level Python Automation Engineer JobsEntry Level Python Automation Engineer Jobs in Hartford, CT

Entry Level Python Automation Engineer information

See Hartford, CT salary details

$37.3K

$108.1K

$164.4K

How much do entry level python automation engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for entry level python automation engineer in Hartford, CT is $108,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,300.00 and $124,600.00 per year, depending on experience, location, and employer.

What does an entry level Python automation engineer do?

An Entry Level Python Automation Engineer is responsible for designing, developing, and maintaining automated scripts and tools using Python to help streamline processes and improve efficiency. They typically work under the guidance of senior engineers to automate repetitive tasks, perform software testing, or manage data workflows. Their daily tasks may include writing Python code, debugging automation scripts, and collaborating with team members to identify opportunities for automation. This role is ideal for those with a foundational understanding of Python and a passion for problem-solving and process improvement.

What are the key skills and qualifications needed to thrive as an entry level Python automation engineer?

To thrive as an Entry Level Python Automation Engineer, a solid grasp of Python programming, basic software development principles, and familiarity with automation frameworks is essential, often supported by a relevant degree or certification. Experience with tools like Selenium, PyTest, Jenkins, and version control systems such as Git is typically required. Strong analytical thinking, attention to detail, and effective communication set candidates apart in this role. These skills and qualities are crucial for efficiently developing, testing, and maintaining automation solutions that enhance productivity and software quality.

What types of projects and tasks can an entry level Python automation engineer expect to work on in their first year?

As an Entry Level Python Automation Engineer, you can expect to work on a variety of tasks such as writing and maintaining scripts to automate repetitive processes, assisting with the development of test automation frameworks, and supporting the deployment of automated solutions in collaboration with more experienced engineers. You may also be responsible for troubleshooting automation scripts, documenting processes, and participating in code reviews. The work environment is typically team-oriented, and you will likely collaborate closely with developers, QA analysts, and IT support, which provides valuable opportunities to learn and grow your technical and professional skills.

What is the difference between Entry Level Python Automation Engineer vs QA Tester?

AspectEntry Level Python Automation EngineerQA Tester
Required SkillsPython scripting, automation tools, basic testing knowledgeManual testing, test case creation, defect tracking
CertificationsNone mandatory, Python knowledge preferredISTQB or similar testing certifications
Work EnvironmentSoftware development teams, automation projectsQuality assurance teams, testing labs
Industry UsageTech, finance, healthcare, any industry with software productsPrimarily software and tech companies

While both roles involve quality assurance, the Entry Level Python Automation Engineer focuses on developing automated testing scripts using Python, whereas the QA Tester primarily performs manual testing and defect reporting. The automation engineer role requires programming skills and automation tools knowledge, making it more technical. Both roles are essential in software development, but the automation engineer often works closely with developers to streamline testing processes.

What are the most commonly searched types of Python Automation Engineer jobs in Hartford, CT?

The most popular types of Python Automation Engineer jobs in Hartford, CT are:

What are popular job titles related to Entry Level Python Automation Engineer jobs in Hartford, CT?

For Entry Level Python Automation Engineer jobs in Hartford, CT, the most frequently searched job titles are:

What job categories do people searching Entry Level Python Automation Engineer jobs in Hartford, CT look for?

The top searched job categories for Entry Level Python Automation Engineer jobs in Hartford, CT are:

Entry Level Python Automation Engineer jobs near you
Infographic showing various Entry Level Python Automation Engineer job openings in Hartford, CT as of September 2026, with employment types broken down into 100% Full Time. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $108,060 per year, or $52 per hour.

Manager - Data & AI Solutions Engineering

Wallingford, CT • On-site

Amphenol
See more jobs at Amphenolexternal

$114K - $137K/yr

Other

Posted 18 days ago

Key responsibilities

  • Design, develop, and maintain scalable analytics, automation, and AI solutions that improve Internal Audit processes

  • Build secure web-based applications and user-friendly tools for auditors

  • Develop Python applications, APIs, and reusable software components

Job description

Amphenol is one of the largest manufacturers of interconnect products in the world. Founded in 1932, Amphenol designs, manufactures and markets electrical, electronic and fiber optic connectors, interconnect systems, antennas, sensors and sensor-based products and coaxial and high-speed specialty cable. Amphenol has been on the forefront of enabling the electronics revolution by driving value through innovation and connecting people and technology. The primary end markets for the company's products are communications and information processing markets, including cable television, cellular telephone and data communication and information processing systems; aerospace and military electronics; and automotive, rail and other transportation and industrial applications. Listed on the NYSE with sales of $23.1 Billion in 2025 and a Fortune 500 company, Amphenol is a top performing company with an unparalleled history of growth. With over 170,000 dedicated employees working in 150 businesses in more than 40 countries, Amphenol has the unique advantage of having both diversified global reach while still being a focused organization. Our focus comes from our entrepreneurial management teams dedicated to specific markets and regions.


Job Title: Manager - Data & AI Solutions Engineering

Location: United States

Department: Internal Audit Department

Reports To: Manager - Data Analytics and Transformation


Overview

We are seeking a highly motivated Data & AI Solutions Engineer to join our Internal Audit department. This role is responsible for designing and building innovative technology solutions that transform the way Internal Audit delivers value across the organization.


Working directly with auditors and business stakeholders, you will develop modern data analytics, AI-powered applications, and intelligent automation solutions that improve audit planning, risk assessment, testing, documentation, and reporting. You will leverage Databricks, Python, cloud technologies, and large language models (LLMs) to create scalable tools that solve real business problems.


The ideal candidate has a strong computer science or software engineering background, enjoys building applications, and is passionate about applying emerging AI technologies to practical business challenges. Curiosity, creativity, and a willingness to experiment with new technologies are just as important as technical expertise.


Why Join Our Team?

Internal Audit is undergoing a technology transformation. Our team is building next-generation solutions using Databricks, AI, large language models, and modern software engineering practices to fundamentally change how audits are performed. You'll have the opportunity to experiment with emerging technologies, rapidly prototype new ideas, and deliver applications that are immediately used by audit teams around the world. If you enjoy building innovative software that solves real business problems, this is an opportunity to help shape the future of Internal Audit.


Key Responsibilities

  • Design, develop, and maintain scalable analytics, automation, and AI solutions that improve Internal Audit processes.
  • Build secure web-based applications and user-friendly tools for auditors.
  • Develop Python applications, APIs, and reusable software components.
  • Implement RAG solutions and intelligent document processing capabilities.
  • Develop LLM-powered applications and agentic workflows.
  • Build scalable data pipelines in Databricks.
  • Partner with auditors to translate business needs into technical solutions.
  • Evaluate emerging AI technologies and prototype new capabilities.
  • Design intuitive dashboards and web interfaces.

Document solutions and provide knowledge transfer.


Apply