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60 Alvarez Marsal Python Engineer Jobs Hiring Near You

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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 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.

How much does a Python engineer make?

The average salary for a Python engineer varies by experience and location but typically ranges from $80,000 to $130,000 annually. Senior Python developers with specialized skills in frameworks, data analysis, or machine learning can earn higher salaries, especially in competitive markets.

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.

What other companies are hiring for Python Engineer jobs?
What are the most popular jobs at Alvarez Marsal?
What are the most popular categories at Alvarez Marsal?
Infographic showing various Python Engineer job openings at Alvarez Marsal in the United States as of May 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.
Associate, Digital Finance Transformation - Data Scientist - Private Equity Performance Improveme...

Associate, Digital Finance Transformation - Data Scientist - Private Equity Performance Improveme...

Alvarez & Marsal

Chicago, IL • On-site

$60.80K - $61.30K/yr

Full-time

Posted 2 days ago

Job description

Job Summary:
Alvarez & Marsal is a global consulting firm that focuses on solving clients' problems and assisting them in reaching their potential. They are seeking an Associate for their Digital Finance Transformation team to help private equity portfolio companies modernize their finance functions through data environments, automation, and analytics-driven tools.
Responsibilities:
• Help private equity portfolio companies accelerate digital enablement within the finance function—modernizing data environments, automating processes, and building analytics-driven tools that create measurable business impact.
• Work directly with CFOs, Controllers, and FP&A leaders to design, implement, and operationalize digital solutions that improve performance, transparency, and scalability.
Qualifications:
Required:
• 3-6 plus years of professional experience; consulting or professional services experience preferred.
• Advanced Python programming experience, including familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong SQL skills and experience with modern data platforms (Snowflake, Databricks, Azure Synapse, Microsoft Fabric).
• Experience with ETL/orchestration tools (Dagster, Temporal, Azure Data Factory, AWS Glue, Fivetran, Matillion).
• Demonstrated ability to develop lightweight finance applications using Streamlit or Retool.
• Solid understanding of finance and accounting concepts, including forecasting, working capital management, and three-statement modeling.
• Exceptional communication and collaboration skills; proven ability to translate between finance and technology teams.
• Ability to travel as required
Company:
Alvarez & Marsal provides advisory services related to turnaround management and performance improvement. Founded in 2003, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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