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Python Back Jobs in Minneapolis, MN (NOW HIRING)

... back into the product. Mandatory Skills: Enterprise Platform Engineering Python. Experience: 3-5 Years. The expected compensation for this role ranges from $45,000 to $121,000 . Final compensation ...

Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured ... A considered view on where agents should and shouldn't act and comfort pushing back when "let's add ...

Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured ... A considered view on where agents should and shouldn't act and comfort pushing back when "let's add ...

... Python, Redis, Postgres, and Kafka in a microservices architecture. You will work with our product ... back to our communities in ways that make life better, both personally and professionally. We ...

... Python, Redis, Postgres, and Kafka in a microservices architecture. You will work with our product ... back to our communities in ways that make life better, both personally and professionally. We ...

The Sales Engineer is responsible for selling into new prospects as well as farming back into ... Experience with scripting languages such as Python, and REST API framework Application Deadline:

Python, SQL, SAP, and Business Objects #LI-ES1 What's in it For You? * Hybrid Work Model: We've ... back to the community, or finding time to refresh and reset. This builds upon our flexible work ...

Python or equivalent technical computing experience preferred * Experience with Design of ... You can give back the gift of sight to people all over the world by deciding to work with us. We ...

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Python Back information

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$13

$61

$90

How much do python back jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for python back in Minneapolis, MN is $61.19, according to ZipRecruiter salary data. Most workers in this role earn between $50.43 and $69.52 per hour, depending on experience, location, and employer.

Will AI replace Python coders?

Python developers are unlikely to be fully replaced by AI, as coding often requires creativity, problem-solving, and understanding complex requirements that AI tools currently cannot replicate entirely. AI can assist programmers by automating repetitive tasks and providing code suggestions, but human oversight and expertise remain essential for designing, debugging, and maintaining software. Staying updated with new tools and improving problem-solving skills can help Python coders remain valuable in the evolving tech landscape.

What is the backend for Python?

In Python development, the backend refers to the server-side code that handles data processing, storage, and application logic. Python is commonly used for backend development with frameworks like Django and Flask, which facilitate building scalable and secure web applications. Knowledge of databases, APIs, and server management is also important for Python backend roles.

What is a Python Backend Developer?

A Python Backend Developer is a software engineer who specializes in building and maintaining the server-side logic of web applications using the Python programming language. They are responsible for creating APIs, managing databases, integrating with external services, and ensuring the overall performance and security of the backend systems. Python Backend Developers often work with frameworks like Django or Flask and collaborate with frontend developers to deliver seamless user experiences.

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

To thrive as a Python Backend Developer, you need strong programming skills in Python, a solid understanding of backend frameworks, and experience with APIs and databases, often supported by a relevant degree or certifications. Familiarity with tools like Django or Flask, RESTful API design, version control systems such as Git, and cloud platforms like AWS or Azure is typically required. Problem-solving, teamwork, and effective communication are crucial soft skills that set top performers apart. These competencies enable developers to build scalable, secure, and maintainable backend systems that meet business needs efficiently.

What jobs can I do with just Python?

With Python skills, you can work as a Python developer, data analyst, automation engineer, or backend programmer. These roles often require knowledge of libraries like pandas, Django, or Flask, and may involve tasks such as scripting, data processing, or web development. Additional skills in databases, version control, and problem-solving enhance job prospects.

Is Python backend in demand?

Python backend development is highly in demand due to its versatility, ease of use, and extensive libraries for web frameworks like Django and Flask. Employers seek Python developers for building scalable, efficient server-side applications, often requiring knowledge of databases, APIs, and cloud deployment. The role typically offers competitive salaries and opportunities across various industries such as tech, finance, and healthcare.

What is the difference between Python Back and Python Data Engineer?

AspectPython BackPython Data Engineer
Required CredentialsPython programming, basic database knowledgePython, SQL, data modeling certifications
Work EnvironmentBackend development teams, software companiesData teams, analytics departments
Industry UsageSoftware development, web servicesData analysis, big data projects
Common Search IntentBackend development with PythonData pipeline and infrastructure roles

Python Back focuses on backend development tasks using Python, such as server-side logic and API creation. Python Data Engineer specializes in building data pipelines, managing data storage, and working with large datasets. While both roles require Python skills, Python Data Engineers often need additional knowledge of SQL and data architecture. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What are some common challenges Python Backend Developers face when optimizing application performance?

Python Backend Developers often encounter challenges related to optimizing application speed and scalability, especially when handling large volumes of data or high user traffic. Issues such as inefficient database queries, memory leaks, and suboptimal code structures can impact performance. Developers typically address these by profiling code, implementing caching strategies, and leveraging asynchronous programming where appropriate. Collaborating with DevOps teams to monitor performance metrics and employing tools like Redis, Celery, or load balancers also play a significant role in overcoming these challenges.
What are popular job titles related to Python Back jobs in Minneapolis, MN? For Python Back jobs in Minneapolis, MN, the most frequently searched job titles are:
What job categories do people searching Python Back jobs in Minneapolis, MN look for? The top searched job categories for Python Back jobs in Minneapolis, MN are:
DEVELOPER L3

DEVELOPER L3

Wipro Limited

Minneapolis, MN • On-site

Full-time

Medical, Dental, PTO

Posted 26 days ago


Wipro rating

7.2

Company rating: 7.2 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

119th of 207 rated it services


Job description

Job Title: DEVELOPER L3
City: Minneapolis
State/Province: Minnesota
Posting Start Date: 6/9/26
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients' most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
Job Description:
Forward Deployed Engineer
We are looking for a Forward Deployed Engineer who can work directly with customers to understand their business problems, design practical solutions, and build working software that creates measurable impact. This role combines software engineering, solution architecture, consulting, product thinking, and customer-facing execution. The ideal candidate should be comfortable moving between customer conversations, messy business workflows, technical design, rapid prototyping, integration, deployment, and product feedback. This is not a pure back-office engineering role. The Forward Deployed Engineer will work close to the customer, understand the real-world context, and build solutions that solve actual operational, data, automation, and AI-led business problems.
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Key Responsibilities
Work closely with customers to understand business processes, pain points, operational bottlenecks, system landscape, data flows, and success metrics. Translate customer problems into technical solution designs, prototypes, MVPs, integrations, automations, or product configurations. Build hands-on solutions using modern engineering practices across APIs, databases, cloud platforms, workflow tools, enterprise systems, and AI/GenAI technologies. Develop proof-of-concepts and pilots that can demonstrate business value quickly and evolve into production-grade implementations. Integrate solutions with enterprise applications such as ERP, CRM, data platforms, workflow systems, collaboration tools, and third-party APIs. Partner with product, engineering, design, delivery, and customer success teams to convert repeated customer needs into reusable platform capabilities. Support customer deployments, testing, troubleshooting, user adoption, and handover to delivery or support teams. Create technical documentation, architecture notes, implementation playbooks, demo scripts, reusable components, and customer-specific solution guides. Act as the technical bridge between the customer and internal product/engineering teams. Identify opportunities for automation, AI adoption, data improvement, process redesign, and platform expansion. Bring back field learnings to influence product roadmap, engineering priorities, reusable accelerators, and go-to-market propositions.
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Required Skills and Experience
3-8 years of experience in software engineering, solution engineering, implementation engineering, product engineering, technical consulting, or customer-facing technology roles. Strong software engineering fundamentals and hands-on experience in at least one major programming language such as Python, JavaScript/TypeScript, Java, C#, or Go. Good understanding of APIs, databases, cloud services, authentication, system integration, and application deployment. Ability to understand business workflows and convert them into clear technical designs. Experience building prototypes, MVPs, internal tools, dashboards, automations, or productiongrade applications. Comfortable working with structured and unstructured data. Strong problem-solving skills with the ability to navigate ambiguity and incomplete information. Ability to communicate clearly with both technical and non-technical stakeholders. Comfortable working in fast-moving customer environments where requirements evolve quickly. Strong ownership mindset and ability to take a problem from discovery to working solution.
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Good to Have
Experience with GenAI, LLMs, RAG, agents, AI workflow automation, prompt engineering, or model integration. Experience integrating with enterprise systems such as Salesforce, SAP, Oracle, ServiceNow, Workday, Microsoft Dynamics, HubSpot, Jira, or similar platforms. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with data engineering, ETL/ELT pipelines, BI dashboards, analytics platforms, and reporting workflows. Experience in consulting, pre-sales engineering, solution architecture, implementation, or productled delivery. Exposure to industries such as retail, BFSI, healthcare, manufacturing, telecom, media, travel, or technology services. Experience working with customers during pilots, demos, workshops, discovery sessions, and production rollouts.
Ideal Candidate
Profile The ideal candidate is a business problem solver who can engineer solutions. They should be able to sit with a customer, understand the messy reality of the business, identify the actual problem beneath the stated problem, and quickly build something useful. They should not wait for perfect requirements. They should be curious, hands-on, structured, and outcomeoriented. They should enjoy working at the intersection of customer pain, technology possibility, product opportunity, and business value.
Success Measures Success in this role will be measured by: Successful delivery of customer pilots, prototypes, and production solutions. Reduction in time from customer problem discovery to working solution. Customer adoption and satisfaction. Number of reusable solution patterns, accelerators, or components created. Quality of feedback provided to product and engineering teams. Ability to convert field learnings into scalable product capabilities. Contribution to revenue expansion, platform adoption, and long-term customer value.
Sample Projects This Role May Work On Build a GenAI assistant that helps customer service teams search enterprise knowledge and resolve cases faster. Create an automation that connects CRM, ERP, and reporting systems to reduce manual work. Develop a prototype that uses customer data to generate insights, recommendations, or nextbest actions. Integrate an AI workflow into an existing business process such as order management, finance operations, HR support, marketing operations, or procurement. Build dashboards, internal tools, and lightweight applications to help customers make faster decisions. Turn a repeated customer implementation pattern into a reusable product feature or accelerator. One-Line Summary A Forward Deployed Engineer turns real customer problems into working technology solutions and brings field learning back into the product.
Mandatory Skills: Enterprise Platform Engineering Python.
Experience: 3-5 Years.
The expected compensation for this role ranges from $45,000 to $121,000 .
Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.
Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.

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