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Python Certification Jobs in Farmington Hills, MI

Cloud Engineer

Farmington Hills, MI · Remote

$57 - $76.25/hr

Experience with scripting languages such as Bash and/or Python * Proven ability to troubleshoot ... AWS certifications (e.g., AWS Certified Solutions Architect, SysOps Administrator, or Cloud ...

AWS Cloud Architect

Detroit, MI · On-site

$59.50 - $75.75/hr

Python * PostgreSQL or DynamoDB * Infrastructure as Code (IaC) * Jira & Confluence * Cloud Certifications (AWS/Azure/Google Cloud Platform) Key Responsibilities: * Design and implement scalable cloud ...

Test Engineer II

Ann Arbor, MI · On-site

$87.90 - $127.80/hr

Automate repetitive operations with open‑source packages (such as Python) to improve test ... Coursework or certification in systems engineering, controls, avionics, or software systems.

Automate repetitive operations with open-source packages (such as Python) to improve test ... Coursework or certification in systems engineering, controls, avionics, or software systems.

Automate repetitive operations with open-source packages (such as Python) to improve test ... Coursework or certification in systems engineering, controls, avionics, or software systems.

Cloud Data Architect

Ann Arbor, MI · On-site +1

$107K - $176K/yr

Collaborate with analysts, developers, and project managers to support analytic workloads in Python ... • AWS Certified Data Analytics - Specialty, or AWS Certified Solutions Architect preferred.

Must have: Hands-on Python, SQL, & Databricks development * Early adopter of AI / ML planning ... certifications, experience, skills, geographic location, shift, and organizational needs. The ...

Showing results 41-60

Python Certification information

See Farmington Hills, MI salary details

$13

$57

$84

How much do python certification jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for python certification in Farmington Hills, MI is $57.68, according to ZipRecruiter salary data. Most workers in this role earn between $47.55 and $65.53 per hour, depending on experience, location, and employer.

What is a Python certification and why is it important?

A Python certification is an official credential that demonstrates a person's proficiency and knowledge in the Python programming language. Earning a certification can help validate your skills to employers, making you stand out in the job market. It often covers topics such as syntax, data structures, algorithms, and usage of Python libraries. Obtaining a certification can also provide structured learning and boost your confidence in applying Python in real-world projects. While not always required, it can be particularly beneficial for those new to programming or seeking to advance their careers.

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 proficiency in Python programming, a solid understanding of algorithms, data structures, and often a relevant degree in computer science or a related field. Familiarity with development frameworks (like Django or Flask), version control systems such as Git, and relevant Python certifications are commonly expected. Problem-solving ability, adaptability, and effective communication are valuable soft skills that set top candidates apart. These competencies enable developers to write efficient, maintainable code and collaborate well within development teams on complex projects.

What types of projects or tasks can I expect to work on after earning a Python certification?

After earning a Python certification, you can expect to work on a variety of projects, ranging from web application development to data analysis and automation tasks. Many teams utilize Python for scripting workflows, managing databases, building APIs, or developing machine learning models. The exact nature of your work will often depend on the industry and organization, but collaboration with other developers, data analysts, or IT professionals is common. Certified Python professionals are frequently trusted with higher responsibility, including contributing to code reviews and designing scalable solutions.

What is the difference between Python Certification vs Data Analyst?

AspectPython CertificationData Analyst
Required CredentialsCertification in Python programmingDegree in Data Science, Statistics, or related field
Work EnvironmentSoftware development, automation, scriptingData analysis, reporting, business insights
Industry UsageTech, finance, automationBusiness, marketing, finance
Search & Comparison IntentLearning Python skills, certification benefitsUnderstanding roles, skills, and certifications for data analysis

Python Certification focuses on validating Python programming skills, often used in software development and automation. Data Analysts utilize Python for data manipulation and analysis but typically require a broader skill set including statistical knowledge and domain expertise. While Python Certification enhances technical credentials, Data Analyst roles emphasize a combination of technical and analytical skills. Both are valuable in data-driven industries, but they serve different career paths and skill requirements.

Is a certificate in Python worth it?

A Python certification can enhance a Python developer's resume by validating skills in programming, data analysis, and automation. While not always required, it can improve job prospects and demonstrate commitment to the profession, especially for entry-level or transitioning developers.

What job categories do people searching Python Certification jobs in Farmington Hills, MI look for?

The top searched job categories for Python Certification jobs in Farmington Hills, MI are:

What cities near Farmington Hills, MI are hiring for Python Certification jobs?

Cities near Farmington Hills, MI with the most Python Certification job openings:

Infographic showing various Python Certification job openings in Farmington Hills, MI as of June 2026, with employment types broken down into 12% As Needed, 72% Full Time, 7% Part Time, 3% Temporary, 3% Contract, and 3% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $119,982 per year, or $57.7 per hour.

$107K - $176K/yr

Full-time

Posted 22 days ago


Job description

Characteristic Duties and Responsibilities 

  • Design and build AWS-based data platforms, including data lakes and analytics environments using services such as S3, Glue, Athena, Redshift, and Lake Formation.
     
  • Architect secure, cost-efficient cloud infrastructure using IAM, KMS, CloudWatch, and related services.
  • Implement data governance, security controls, and compliance frameworks consistent with appropriate requirements / standards.
  • Collaborate with analysts, developers, and project managers to support analytic workloads in Python, R, and SQL, and data-driven decision making.
  • Enable secure, automated delivery of curated data to BI and decision-making dashboards using modern DevSecOps practices.
  • Monitor system performance, automate scaling, and ensure high availability and resilience of the data environment.
  • Optimize data storage and query performance, balancing cost and efficiency across environments.
  • Support user access, permissions management, and data sharing models between internal and external collaborators.
  • Develop infrastructure-as-code templates and maintain documentation for deployment and configuration.
  • Provide technical mentorship to data and software engineering teams regarding AWS best practices and architecture patterns. 

Core Values 

Our core values define who we are as an organization and serve as the foundation of our code of ethics. Arbor Research expects all employees to embody these and demonstrate them in our day-to-day work. 

  • Collaborative Spirit 

We expect each staff member to learn from and teach one another and ask each to exhibit a curiosity and respect for the contributions of others. 

  • Creativity 

We strive to cultivate a challenging, stimulating, and supportive environment where our employees are expected to be inquisitive, take initiative, and demonstrate ingenuity. 

  • Credibility 

Our employees are smart, thoughtful, and objective in their work. We expect them to be technically solid in their area of expertise, and for those conducting research to demonstrate scientific rigor. 

  • Dedication 

Our team achieves success because of our dedication to carrying out high quality work and delivering trusted results. 

Supervision Received  

General administrative supervision is received from the Director of Data Services. Close collaboration is expected with other project work teams (investigators, analysts, project support, etc.).  

Supervision Exercised  

Direct reports may include Programmers (levels I, II, and Senior) with assignments on the Managing Programmer’s work group.  

Required Qualifications   

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
• 5+ years of experience designing and implementing data solutions in AWS.
• Proficiency in AWS services such as S3, Glue, Lambda, Redshift, CloudFormation, and IAM.
• Strong experience with SQL and at least one scripting language (Python preferred).
• Experience with data lakehouse design patterns, schema management, and ETL orchestration tools.
• Familiarity with DevSecOps principles and cloud security standards.
• Strong problem-solving skills and ability to work independently or within multidisciplinary teams.
• AWS Certified Data Analytics – Specialty, or AWS Certified Solutions Architect preferred.

Desirable Qualifications 

  • Non-profit experience 
  • Health research background 

Annual Salary Range

$107,000-176,000

(US National Average)

Base Compensation Determination 

Base Compensation is determined by market range and geographic location pay zones. Base Compensation also includes various individual factors unique to each candidate such as job level, prior experience, skill set, certification and educational which may impact the compensation structure.