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Usa Python Jobs in Wisconsin (NOW HIRING)

Life Science Data Engineer

Madison, WI · On-site

$115.50K - $138.60K/yr

... Python, R, or Spark for data processing and analysis • Experience working with biological or ... Founded in 1833, the company is headquartered in New York, USA, with a team of 10001+ employees.

Green Bay, WI, USA Shift:First shift Job level:Individual Contributor Schedule:Full time; Monday ... Knowledge of SQL and/or Python. * Understanding of data modeling concepts (tables, relationships ...

Data Engineer II

Green Bay, WI · On-site

$111.40K - $133.80K/yr

... using Python, Java, or Scala for data processing • Solid understanding of SQL and analytical data warehouses (Snowflake, Redshift) • Hands-on experience implementing ETL/ELT best practices at ...

Description FII USA, Inc., a Foxconn Technology Group Company, is seeking a Reliability Test ... Experience with scripting or automation tools (Python, Bash, LabVIEW, or similar). * Familiarity ...

Reliability Engineer

Mount Pleasant, WI · On-site

$99.20K - $124.80K/yr

Aaron Lemkau Description FII USA, Inc., a Foxconn Technology Group Company, is seeking a ... Experience with scripting or automation tools (Python, Bash, LabVIEW, or similar). * Familiarity ...

Aaron Lemkau Description FII USA, Inc., a Foxconn Technology Group Company, is seeking an ... Experience with scripting or automation tools (Python, Bash, LabVIEW, etc.). * Familiarity with ...

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Usa Python information

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

To thrive as a Python Developer, you need strong programming skills in Python, understanding of software development principles, and often a degree in computer science or related fields. Familiarity with frameworks like Django or Flask, version control systems such as Git, and experience with databases are typically required. Problem-solving ability, attention to detail, and effective communication are essential soft skills for collaborating with teams and troubleshooting code. These skills and qualifications ensure the delivery of robust, scalable, and maintainable software solutions.

What are some common challenges faced by Python developers working in the USA, and how can they overcome them?

Python developers in the USA often encounter challenges such as keeping up with rapidly evolving technologies, integrating Python with legacy systems, and collaborating across multidisciplinary teams. To overcome these hurdles, it's important to stay updated with industry trends through continuous learning, participate in code reviews, and leverage robust testing practices. Additionally, effective communication and teamwork are vital for integrating solutions and ensuring project success in diverse, agile environments.

What does a Python developer do in the USA?

A Python developer in the USA primarily writes, tests, and maintains code using the Python programming language. They work on a variety of projects, including web development, data analysis, machine learning, automation, and scripting. Python developers often collaborate with other team members to design software solutions, debug applications, and ensure the performance and scalability of their code. Their roles can vary depending on the industry, ranging from building backend web services to analyzing big data or developing artificial intelligence models.

Will AI replace Python coders?

AI is unlikely to fully replace Python coders, as programming requires problem-solving, creativity, and understanding of complex systems that AI cannot fully replicate. Instead, AI tools can assist Python developers by automating repetitive tasks and enhancing productivity, making coding more efficient. Staying updated with new technologies and improving skills in areas like machine learning and automation can help Python programmers remain valuable in the evolving tech landscape.

What is the difference between Usa Python vs Usa Data Analyst?

AspectUsa PythonUsa Data Analyst
Required SkillsPython programming, data manipulation, scriptingData visualization, statistical analysis, Excel
Work EnvironmentSoftware development, data engineering teamsBusiness units, reporting teams
CertificationsPython certifications, data science coursesExcel, Tableau, SQL certifications

While both roles involve working with data, Usa Python focuses on coding, automation, and data engineering tasks, whereas Usa Data Analyst emphasizes interpreting data, creating reports, and visualizations. The roles often collaborate but serve different functions within data projects.

Life Science Data Engineer

Life Science Data Engineer

IFF

Madison, WI • On-site

$115.50K - $138.60K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Summary:
IFF is a global leader in flavors, fragrances, food ingredients, and health & biosciences, seeking a Life Science Data Engineer to transform complex biological data into scalable solutions. The role involves collaborating with scientific teams to design data systems that support microbiology research and enhance data-driven discoveries.
Responsibilities:
• Collaborate with scientific teams to design scalable data capture systems and user-friendly visualizations of experimental results
• Design and implement database architectures, data models, and automated data pipelines across platforms (e.g., Amazon Web Services, Laboratory Information Management Systems, Benchling, and contract research organization systems)
• Develop structured data models capturing microbial strain metadata, growth conditions, and experimental outputs
• Partner with researchers to standardize experimental metadata, ontologies, and data structures to improve data quality, reproducibility, and traceability
• Build and maintain data warehouses supporting probiotic growth, strain characterization, and clinical datasets
• Develop and implement robust data quality and integrity checks across data ingestion workflows, including integration of externally generated clinical data
• Build pipelines integrating multi-modal datasets (e.g., sequencing, metabolomics, in vitro assays, and clinical endpoints)
• Partner cross-functionally to prototype and deploy digital solutions that enhance research and development efficiency and scalability
Qualifications:
Required:
• Ph.D. in Data Engineering, Computational Biology, Data Science, or a related field with relevant experience; or M.S. with equivalent professional experience
• Strong Structured Query Language (SQL) skills and experience with database systems such as SQL Server, PostgreSQL, or Oracle
• Proficiency in Python, R, or Spark for data processing and analysis
• Experience working with biological or experimental datasets with complex metadata structures
• Familiarity with statistical or computational analysis of biological systems
• Demonstrated ability to manage multiple projects and work independently in a dynamic environment
• Strong communication and collaboration skills, with experience partnering effectively with scientific teams
• Experience designing scalable data architectures and optimizing data workflows for downstream users
Preferred:
• Knowledge of clinical data standards and models (e.g., Observational Medical Outcomes Partnership (OMOP), Clinical Data Interchange Standards Consortium (CDISC)) and healthcare coding systems
• Experience working with microbiome or host–microbiome datasets, including translational or clinical research
• Understanding of microbial physiology, fermentation processes, or multi-omics data integration
Company:
At IFF, we make joy through science, creativity and heart. Founded in 1833, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.