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Python Data Analysis Jobs in Michigan (NOW HIRING)

Cognizant

Senior Python Data Engineer

Atlanta, MI · On-site

$100K - $114K/yr

About the Role As a Senior Python Data Engineer , you will make an impact by designing, building ... Experience with the Databricks platform and cloud-based analytics solutions. * Knowledge of large ...

MetaRPO

W2 - Snowflake Data engineer

Detroit, MI · On-site

$104K - $125K/yr

... Snowflake, AWS, Python, Data Vault, and enterprise data integration to design and deliver scalable data solutions supporting analytics, reporting, data science, and AI initiatives. Key ...

New

Saransh Inc

GCP Data Engineer with Python

Dearborn, MI · On-site

$105K - $126K/yr

Role: GCP Data Engineer with Python Location: Dearborn, MI (4 days a week onsite) Job Type ... The engineer will collaborate with existing team members, including Software Analysts and Scrum ...

Marriott International

Data Analyst

Detroit, MI

Proficiency in data analysis tools such as Excel, SQL, or Python. * Strong analytical and problem-solving skills. * Excellent communication skills, both written and verbal. * Ability to work ...

AAA Life Insurance Company

Data Analyst III

Livonia, MI · On-site

Utilize statistical techniques and data analysis tools (i.e., Python, R, SQL) to gather, clean, analyze, and provide recommendations regarding large datasets from various sources, identifying trends ...

Bay College

Data Analyst

Escanaba, MI · On-site

$53K/yr

Proficiency in data analysis tools such as SPSS, SAS, or R * Proficiency in data visualization tools such as Power BI, Tableau, or QlikView * Experience with SQL, Python, or R programming languages ...

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How much do python data analysis jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for python data analysis in Michigan is $51.09, according to ZipRecruiter salary data. Most workers in this role earn between $42.12 and $58.03 per hour, depending on experience, location, and employer.

What is a python data analysis?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the typical responsibilities of someone working in python data analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.

What are the key skills and qualifications needed to thrive in python data analysis, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the most commonly searched types of Python Data Analysis jobs in Michigan?

The most popular types of Python Data Analysis jobs in Michigan are:

What are popular job titles related to Python Data Analysis jobs in Michigan?

For Python Data Analysis jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Python Data Analysis jobs in Michigan look for?

The top searched job categories for Python Data Analysis jobs in Michigan are:

What cities in Michigan are hiring for Python Data Analysis jobs?

Cities in Michigan with the most Python Data Analysis job openings:

Python Data Analysis jobs near you
Infographic showing various Python Data Analysis job openings in Michigan as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 10% Part Time, and 6% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $106,276 per year, or $51.1 per hour.

Senior Python Data Engineer

Atlanta, MI • On-site

Cognizant
See more jobs at Cognizantexternal

$100K - $114K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Cognizant rating

7.0

Company rating: 7.0 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

Job description

About the Role

As a Senior Python Data Engineer, you will make an impact by designing, building, and optimizing scalable data pipelines and cloud-native applications that enable reliable, high-performance data processing and integration. You will be a valued member of the engineering team and work collaboratively with data engineers, software developers, architects, product stakeholders, and cross-functional teams to deliver business-critical solutions.
This position does not offer visa sponsorship. Candidates must be authorized to work without sponsorship now or in the future, including OPT, CPT, H1B or any other work authorization requiring employer sponsorship.

In This Role, You Will:
  • Design, build, and optimize data ingestion, transformation, and processing pipelines using modern Python data frameworks.
  • Develop, deploy, and maintain serverless REST APIs and event-driven applications on AWS.
  • Integrate AWS services and enterprise data platforms to ensure reliable messaging, orchestration, and state management.
  • Leverage AI-powered development tools to accelerate coding, testing, documentation, and overall software delivery.
  • Contribute to a fast-paced engineering environment focused on delivering high-quality solutions with speed, scalability, and reliability.
Work Model

At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance through our various wellbeing programs. Based on this role’s business requirements, this is an onsite position requiring 5 days a week in a client office in Atlanta, Georgia.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What You Need to Have to Be Considered
  • 3 to 6 years of software or data engineering background.
  • Expert-level Python development skills with hands-on experience using data processing frameworks such as Pandas and PySpark.
  • Strong experience designing and implementing scalable data pipelines and data transformation solutions.
  • Deep knowledge of AWS cloud services, including Lambda, API Gateway, Kinesis, SQS, and EventBridge.
  • Experience building REST APIs, event-driven architectures, and enterprise integration solutions.
  • Strong understanding of software engineering best practices, testing methodologies, and CI/CD processes.
  • Experience working in agile development environments and collaborating across technical teams.
These Will Help You Stand Out
  • Experience with the Databricks platform and cloud-based analytics solutions.
  • Knowledge of large-scale distributed data processing and big data architectures.
  • Experience leveraging AI-assisted development tools to improve engineering productivity.
  • Familiarity with modern data integration patterns and serverless application design.
  • Strong communication and technical documentation skills.
Benefits:

Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

  • Medical/Dental/Vision/Life Insurance.
  • Paid holidays plus Paid Time Off.
  • 401(k) plan and contributions.
  • Long-term/Short-term Disability.
  • Paid Parental Leave.
  • Employee Stock Purchase Plan.
Compensation

The annual salary for this position ranges from $100,000 to $114,000, depending on experience and qualifications. This role is also eligible for Cognizant’s discretionary annual incentive program, subject to performance and applicable plan terms.

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

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