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Python Engineer Jobs in Alaska (NOW HIRING)

Data Engineer

Anchorage, AK · On-site

$116K - $140K/yr

Bachelor's degree in Computer Science, Engineering, Computer Information Systems, Mathematics ... Coding in Python, Java, Go, or C++ to build and maintain data infrastructure; Data pipeline ...

New

$128K - $292K/yr

You Have: * 5+ years of experience engineering code in an object‑oriented language such as Python, C, C++, Go, Rust, Java, or Haskell * 4+ years of experience creating software for retrieving ...

New

Data Engineer

Saint Paul, AK · On-site

$122K - $146K/yr

We are currently seeking a Data Engineer to join our team. This role will support our data-driven ... Experience with Python or R for data analysis. * Knowledge of cloud architecture and modern data ...

New

AI/ML Engineer

Fairbanks, AK · On-site

$82K - $172K/yr

AI/ML Engineer Job Category: Science Time Type: Full time Employee Type: Regular Minimum Clearance ... Proficiency with Python and ML libraries such as PyTorch, Lightning, OpenCV, NumPy, Polars

New

Manufacturing Engineer

Fairbanks, AK · On-site

$74K - $96K/yr

Python, MATLAB, C#, PowerShell/Batch. What You'll Own CNC Programming & Advanced NX Modeling * Develop, prove out, and maintain fully associative NX CAM programs for 3- through 5-axis milling ...

Lead Engineer - Observability Platform

Homer, AK · On-site

$106K - $140K/yr

Design, build, and operate core observability platform services using Go, Python, Java (Spring Boot ... Collaborate with SRE, Platform, and Cloud teams to establish reliability standards, error budgets ...

Lead Data Privacy Engineer

Juneau, AK · On-site

$108K - $143K/yr

Strong software engineering foundation with 5+ years developing, integrating, and automating solutions using Python, Java, Go, or similar programming and scripting languages. * 5+ years operating ...

Showing results 21-40

Python Engineer information

See Alaska salary details

$24.8K

$150.7K

$218.1K

How much do python engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for python engineer in Alaska is $150,741.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,000.00 and $177,200.00 per year, depending on experience, location, and employer.

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.

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.

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 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.

Are Python engineers in demand?

Python engineers are in high demand across various industries such as technology, finance, and data science due to Python's versatility and widespread use in web development, automation, and machine learning. Employers seek professionals with strong programming skills, experience with frameworks like Django or Flask, and knowledge of data analysis tools, making Python engineering a strong career choice with robust job opportunities.

How much does a Python engineer make?

A Python engineer's salary varies based on experience, location, and industry, but typically ranges from $70,000 to $130,000 annually in the United States. Senior Python developers with specialized skills in frameworks, data analysis, or machine learning can earn higher salaries, especially in tech hubs or companies requiring advanced expertise.

What are popular job titles related to Python Engineer jobs in Alaska?

For Python Engineer jobs in Alaska, the most frequently searched job titles are:

What job categories do people searching Python Engineer jobs in Alaska look for?

The top searched job categories for Python Engineer jobs in Alaska are:

What are popular job titles related to Python Engineer jobs in AK?

For Python Engineer jobs in AK, the most frequently searched job titles are:

Infographic showing various Python Engineer job openings in Alaska as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $150,741 per year, or $72.5 per hour.

Data Engineer

Anchorage, AK • On-site

Google
Software Development • 10K+ employees

$116K - $140K/yr

Other

Posted yesterday

New


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz


Job description

Minimum qualifications
  • Bachelor’s degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field and 5 years of progressive post-baccalaureate experience in the job offered or in a Data Engineer-related occupation.
  • Alternatively, will accept a Master’s degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics or a related field, and 3 years of experience in the job offered or in a Data Engineer-related occupation.

Position requires 3 years of experience in the following: Data pipeline design and dimensional data modeling for synchronous and asynchronous system integration; Coding in Python, Java, Go, or C++ to build and maintain data infrastructure; Data pipeline implementation using external or internal data processing stacks; Data exploration by performing exploratory queries and scripts on data models; and Data consumption and visualization using business intelligence tools including Tableau, Power BI, or DataStudio.

Position requires 3 years of experience in the following: Data pipeline design and dimensional data modeling for synchronous and asynchronous system integration; Coding in Python, Java, Go, or C++ to build and maintain data infrastructure; Data pipeline implementation using external or internal data processing stacks; Data exploration by performing exploratory queries and scripts on data models; and Data consumption and visualization using business intelligence tools including Tableau, Power BI, or DataStudio.

About the job

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

The US base salary range for this full-time position is $220,050 - $226,000 +15% Bonus Target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google.

Position reports to the Google (Mountain View, CA) office & may allow for a hybrid schedule as per Google policy.

Responsibilities
  • Design and build secure, scalable, and reliable data processing systems and infrastructure.
  • Develop and maintain data models and pipelines to transform data for analysis and machine learning.
  • Enable data-driven decisions by analyzing data, profiling systems, and deploying machine learning models.
  • Create and consult on data visualizations and reports using various business intelligence tools. Consult with cross-functional partners to define data requirements, standards, and best practices.
  • Provide ongoing support to data users by maintaining dashboards, authoring documentation, and delivering training.
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