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Python Data Jobs in Minnesota (NOW HIRING)

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Proficiency in SQL and Python. * Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS). * Data warehousing experience (Azure Synapse ...

Python Tutor

Saint Paul, MN · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Python Tutor

Minneapolis, MN · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Python Tutor

Edina, MN · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

... data structures, computer networking and operating systems Development expertise in REST/SOAP/JSON API Development expertise in message bus technologies such as RabbitMQ, ActiveMQ; Apache Kafka ...

You will be developing and implementing solutions using Python, Snowflake, AWS cloud infrastructure, and modern data engineering practices, while leading and mentoring a team of talented engineers.

Design and lead large-scale, cloud-native data pipelines and publishing systems-processing billions of records using Snowflake, Python, and AWS services. * Architect scalable data processing ...

Write clean, maintainable, production grade code in Python. Data & Feature Engineering Perform data ingestion, feature engineering, and data validation across structured and unstructured healthcare ...

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Showing results 1-20

Python Data information

What is the salary for Python data analytics?

The salary for Python data analysts typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals skilled in data manipulation, visualization, and tools like Pandas and SQL tend to earn higher salaries, especially with certifications or advanced degrees.

What are some common challenges faced by Python Data professionals when working with large datasets?

Python Data professionals often encounter challenges such as optimizing code to handle large volumes of data efficiently and managing memory usage to prevent slowdowns or crashes. Working with big datasets may require leveraging tools like pandas, NumPy, or Dask, and sometimes integrating with distributed computing systems such as Apache Spark. Additionally, ensuring data quality and managing data pipelines for consistent and accurate results can be demanding. Collaborating closely with data engineers, analysts, and other stakeholders is common to ensure smooth data flow and analysis.

What is a Python Data professional?

A Python Data professional is someone who uses the Python programming language to analyze, process, and interpret data. They work with large datasets, perform data cleaning and transformation, and apply statistical or machine learning techniques to extract insights. These professionals often work in roles such as data analyst, data scientist, or data engineer, and use Python libraries like Pandas, NumPy, and scikit-learn to accomplish their tasks.

What is the difference between Python Data vs Data Analyst?

AspectPython DataData Analyst
Required SkillsPython programming, data manipulation, scriptingExcel, SQL, data visualization
CertificationsPython certifications, data science coursesData analysis certifications, Excel certifications
Work EnvironmentData science teams, programming-heavy rolesBusiness intelligence, reporting teams
Industry UsageTech, finance, healthcareRetail, marketing, finance

Python Data roles focus on programming, data manipulation, and building data pipelines using Python, while Data Analysts primarily analyze data using tools like Excel and SQL to generate reports and insights. Both roles often collaborate but differ in technical depth and tools used.

What type of jobs can I get with Python?

Python is used in a variety of roles including software developer, data analyst, data scientist, machine learning engineer, and automation engineer. These jobs often require knowledge of libraries like Pandas, NumPy, and frameworks such as TensorFlow or Django, and may involve working in environments like cloud platforms or data centers.

What jobs can I do with just Python?

With Python skills, you can pursue roles such as Python developer, data analyst, automation engineer, or backend programmer. These jobs often require knowledge of libraries like pandas, NumPy, or frameworks like Django and Flask, and may involve tasks like scripting, data processing, or web development.

Is Python a high paying job?

Python data roles, such as Python developers or data analysts, tend to offer competitive salaries due to the high demand for programming and data skills. Salaries vary based on experience, location, and industry, but Python-related positions generally pay above average compared to many other tech roles.

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

To thrive as a Python Data professional, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with data analysis or data science, typically supported by a relevant degree. Familiarity with technical tools such as pandas, NumPy, SQL, Jupyter Notebooks, and often cloud platforms or machine learning frameworks is important, and certifications like Microsoft or Google Data certifications can be advantageous. Strong analytical thinking, attention to detail, and effective communication help you extract insights from data and collaborate with stakeholders. These skills and qualities are essential to efficiently process, analyze, and interpret data, driving informed business decisions.
What are popular job titles related to Python Data jobs in Minnesota? For Python Data jobs in Minnesota, the most frequently searched job titles are:
Machine Learning Engineer - Python

Machine Learning Engineer - Python

Data Recognition Corporation

Maple Grove, MN

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Job description

DRC is one of the largest educational assessment and curriculum/instruction companies in the industry.
Machine Learning Engineer
Data Recognition Corporation, Maple Grove MN
Company cannot provide sponsorship for this role
Please, no agencies or third parties
Summary:
DRC is seeking a Machine Learning Engineer to advance its Education Data Science initiatives by building and optimizing production-ready ML models. Working within an interdisciplinary team, you will develop Python-based AI solutions that run in scalable, cloud-native environments and support education learning analytics. The ideal candidate brings 2-5 years of Python experience in an AI or software engineering role, with exposure to modern ML techniques such as LLMs, Transformers, or NLP models.
Essential Responsibilities:

  • Design, train, evaluate and iterate on machine learning models to support DRC's education analytics products
  • Develop high-quality, maintainable Python code for model training, experimentation and evaluation workflows
  • Collaborate closely with MLOps and DevOps engineers to ensure models are reliably deployed and operating in production environments
  • Diagnose and communicate issues related to model performance, data quality, or deployment behavior
  • Work with data scientists, psychometricians, and software engineers to support ML workflows and ensure scalable infrastructure for research and analytics.
  • Contribute to best practices for model versioning, reproducibility and monitoring.
Required Qualifications:
  • 2-5 years of professional experience with Python.
  • Experience with ML frameworks such as TensorFlow or PyTorch
  • Experience preparing datasets, training models and evaluating performance
  • Hands-on experience with NLP techniques and large language models (e.g., transformers)
  • Proficiency with data science tools and programming languages (e.g., Python, R, SQL).
  • Ability to communicate technical findings and issues clearly across teams
  • Familiary with deploying ML models to cloud-based environments (AWS preferred)
  • Understanding of CI/CD concepts and how models move from experimentation to production
  • Ability to identify and articulate deployment related issues without owning implementation
Preferred Qualifications (nice to have, not required):
  • Associates or Bachelor's degree in Computer Science, Information Systems, Data Science or related technical field.
  • Hands-on experience working with large language models and prompt engineering (e.g., OpenAI)
  • Understanding of the unique challenges and requirements of educational assessment data
  • Experience working with version control (Git) and a collaborative development workflow
Essential Job Requirements:
  • Be able to work under supervision and accept feedback
  • Familiarity with Microsoft Office Suite
  • Relate effectively and work respectfully with diverse work groups
  • Ability to consistently perform well during times of increased workload
  • Set and meet deadlines
  • Manage multiple job functions simultaneously

Reporting to this position: No direct reports
DRC retains the right to change or assign other duties to this position
No Agencies, Please
Company cannot provide sponsorship for this position
www.datarecognitioncorp.com
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
DRC offers a comprehensive benefits program that allows employees to make choices that best meet their current and future needs. We offer many benefits, including medical, wellness, dental, and vision insurance, a 401(k), flexible spending and health savings accounts, short and long-term disability insurance, and life insurance. DRC also offers a generous paid time off policy and community service leave.
Data Recognition Corporation is an Affirmative Action/Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
The salary range is a guideline. Compensation will be based on skills, knowledge, and experience.