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Python Data Developer Jobs in Grand Rapids, MI (NOW HIRING)

HTC Global Services Inc

Data & AI Architect

Grand Rapids, MI · On-site

$61.25 - $78.75/hr

Redshift Programming * Python * SQL * PySpark * Scala (preferred) Data Integration * Azure Data Factory * Apache Airflow * dbt * Informatica * Talend * Kafka Databases * SQL Server * Oracle

HTC Global Services

Data & AI Architect

Grand Rapids, MI · On-site

$61.25 - $78.75/hr

Redshift Programming * Python * SQL * PySpark * Scala (preferred) Data Integration * Azure Data Factory * Apache Airflow * dbt * Informatica * Talend * Kafka Databases * SQL Server * Oracle

Gordon Food Service

Senior Data Engineer

Wyoming, MI · Hybrid

$96K - $130K/yr

Expert in modern devops practices to deliver code quickly with a high degree of confidence and ... Preferred languages include but are not limited to Python, Terraform, SQL and Java. * Preferred ...

Pwc

AI & GenAI Data Scientist - Manager

Grand Rapids, MI · On-site

$99K - $232K/yr

... programming languages such as Python and Java to enhance AI model deployment - Overseeing the creation and maintenance of data pipelines and infrastructure - Applying deep learning techniques and ...

Pwc

AI Engineer

Grand Rapids, MI · On-site

$50K - $112K/yr

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... using Python and TensorFlow - Integrating data from various sources to create unified views for ...

ArtiFlex Manufacturing

Data Scientist

Grand Rapids, MI · On-site

Cross-Functional Collaboration Partner with product, production, services, engineering, and other ... You have experience with Python and a solid foundation in supervised and unsupervised machine ...

ArtiFlex Manufacturing

Data Scientist

Grand Rapids, MI · On-site

Partner with product, production, services, engineering, and other business teams to understand ... You have experience with Python and a solid foundation in supervised and unsupervised machine ...

AirLife

Data Analyst

Grand Rapids, MI · On-site

$65K - $80K/yr

POSITION SUMMARY The Data Analyst develops and manages reporting and analytics solutions that ... Experience with SQL, Python,Ror other programming tools. * Experience with project management ...

DISHER

Senior Ignition Developer

Comstock Park, MI · On-site

$45.75 - $60.50/hr

Perform code reviews, establish scripting standards (Python/Jython), and enforce architectural ... If you would like more information about how your data is processed, please contact us. apply for ...

DISHER

Senior Ignition Developer

Comstock Park, MI · On-site

$45.75 - $60.50/hr

Perform code reviews, establish scripting standards (Python/Jython), and enforce architectural ... If you would like more information about how your data is processed, please contact us.

DISHER

Senior Ignition Developer

Comstock Park, MI · On-site

$45.75 - $60.50/hr

Perform code reviews, establish scripting standards (Python/Jython), and enforce architectural ... If you would like more information about how your data is processed, please contact us.

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All JobsPython Data Developer JobsPython Data Developer Jobs in Grand Rapids, MI

Python Data Developer information

See Grand Rapids, MI salary details

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How much do python data developer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for python data developer in Grand Rapids, MI is $56.30, according to ZipRecruiter salary data. Most workers in this role earn between $46.39 and $63.94 per hour, depending on experience, location, and employer.

What is a Python data developer?

Python Data Developers are professionals who use the Python programming language to collect, process, and analyze data. They build and maintain data pipelines, write scripts for data manipulation, and work with databases to ensure data is accessible and usable for analytics and business insights. These developers often collaborate with data scientists, analysts, and other IT professionals to support data-driven decision-making within an organization.

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

To excel as a Python Data Developer, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with relational and NoSQL databases. Familiarity with data processing libraries (like Pandas, NumPy), ETL tools, and version control systems, as well as knowledge of cloud platforms (such as AWS or Azure), are typically required. Problem-solving ability, attention to detail, and effective communication are vital soft skills in this role. These skills enable efficient data pipeline development, ensure data quality, and facilitate collaboration within technical teams.

What are some common challenges faced by Python data developers when working with large datasets?

Python Data Developers often encounter challenges related to efficiently processing and managing large datasets, such as optimizing data pipelines for speed and memory usage. Handling data quality issues, integrating data from multiple sources, and ensuring scalability of their solutions are also frequent hurdles. Collaboration with data engineers, analysts, and stakeholders is crucial for understanding requirements and delivering robust results. Staying up to date with the latest libraries and tools, like Pandas, Dask, or PySpark, is also important to overcome these challenges and maintain high performance.

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

AspectPython Data DeveloperData Analyst
Required SkillsPython, SQL, data modeling, ETL processesExcel, SQL, data visualization, basic statistics
CertificationsPython certifications, data engineering coursesData analysis certifications, Excel certifications
Work EnvironmentData engineering teams, software development projectsBusiness units, reporting teams
Industry UsageTech, finance, healthcare, where data pipelines are neededMarketing, finance, operations for insights and reporting

The Python Data Developer focuses on building data pipelines, integrating data sources, and developing scalable data solutions using Python. In contrast, Data Analysts primarily interpret data, create reports, and provide insights for decision-making. While both roles require SQL and data handling skills, Python Data Developers are more involved in data engineering tasks, whereas Data Analysts focus on data visualization and analysis.

What are popular job titles related to Python Data Developer jobs in Grand Rapids, MI?

For Python Data Developer jobs in Grand Rapids, MI, the most frequently searched job titles are:

What job categories do people searching Python Data Developer jobs in Grand Rapids, MI look for?

The top searched job categories for Python Data Developer jobs in Grand Rapids, MI are:

Python Data Developer jobs near you
Infographic showing various Python Data Developer job openings in Grand Rapids, MI as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $117,106 per year, or $56.3 per hour.

Data & AI Architect

Grand Rapids, MI • On-site

HTC Global Services Inc
IT Services • 10K+ employees
Learn more about HTC Global Services Incexternal

$61.25 - $78.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

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

Job description

Job Title: Enterprise Data Architect Overview / Summary

We are seeking an experienced Data Architect to lead the design, implementation, and governance of enterprise-scale data platforms. The ideal candidate will define data architecture strategy, establish data standards, and collaborate with business stakeholders, data engineers, analytics teams, and solution architects to deliver scalable, secure, and high-performing data solutions across cloud and on-premises environments.

The role requires expertise in modern data platforms including Snowflake, Databricks, Microsoft Fabric, Azure, AWS, and Google Cloud, along with strong knowledge of data modeling, governance, data integration, and AI/ML enablement.

Key Responsibilities Enterprise Data Architecture
  • Define and maintain enterprise data architecture principles, standards, and best practices.
  • Design scalable, secure, and resilient data platforms supporting analytics, AI/ML, and operational workloads.
  • Create conceptual, logical, and physical data models.
  • Develop enterprise data roadmaps aligned with business strategy.
Data Platform Design
  • Architect modern cloud-based data platforms using Snowflake, Databricks, Azure Synapse, Microsoft Fabric, AWS Redshift, and Google BigQuery.
  • Design Lakehouse, Data Warehouse, and Data Mesh architectures.
  • Build scalable ingestion, transformation, and serving layers.
Data Integration
  • Design batch, streaming, CDC, and API-based integration solutions.
  • Architect ETL/ELT pipelines using dbt, Azure Data Factory, Apache Airflow, Informatica, Talend, and Fivetran.
  • Establish reusable integration patterns and frameworks.
Data Modeling
  • Design star schema, snowflake schema, normalized, and dimensional models.
  • Develop data marts for business domains.
  • Optimize schemas for reporting and AI workloads.
  • Define master data and reference data models.
Data Governance
  • Establish enterprise data governance standards.
  • Define metadata management strategies.
  • Implement data lineage and catalog solutions.
  • Define data quality frameworks and KPIs.
  • Ensure compliance with GDPR, HIPAA, CCPA, and other regulatory requirements.
Performance & Optimization
  • Optimize query performance and storage costs.
  • Design partitioning, clustering, indexing, and caching strategies.
  • Improve platform scalability and reliability.
AI & Advanced Analytics Enablement
  • Design data foundations for Machine Learning and Generative AI.
  • Build feature stores and semantic layers.
  • Enable real-time analytics and predictive modeling.
  • Collaborate with Data Scientists and ML Engineers to support production AI solutions.
Stakeholder Collaboration
  • Work with business leaders to translate requirements into scalable data solutions.
  • Partner with engineering teams to ensure architectural compliance.
  • Provide technical leadership during solution design and implementation.
  • Mentor architects, engineers, and developers.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related field.
  • 10+ years of experience in Data Engineering, Data Warehousing, or Data Architecture.
  • 5+ years of experience designing enterprise cloud data platforms.
  • Strong understanding of enterprise architecture principles.
Technical Skills

Cloud Platforms

  • Microsoft Azure
  • AWS
  • Google Cloud Platform

Data Platforms

  • Snowflake
  • Databricks
  • Microsoft Fabric
  • Azure Synapse Analytics
  • BigQuery
  • Redshift

Programming

  • Python
  • SQL
  • PySpark
  • Scala (preferred)

Data Integration

  • Azure Data Factory
  • Apache Airflow
  • dbt
  • Informatica
  • Talend
  • Kafka

Databases

  • SQL Server
  • Oracle
  • PostgreSQL
  • MongoDB
  • Cosmos DB

Data Governance

  • Microsoft Purview
  • Collibra
  • Alation
  • Unity Catalog

DevOps

  • Git
  • Azure DevOps
  • GitHub Actions
  • CI/CD
  • Terraform
Preferred Experience
  • Enterprise-scale cloud migration projects.
  • Data modernization initiatives.
  • Data Lakehouse implementations.
  • Insurance, Healthcare, Financial Services, Retail, or Manufacturing domains.
  • AI/ML platform architecture.
  • Real-time streaming architectures.
  • Multi-cloud environments.
Soft Skills
  • Strong communication and stakeholder management.
  • Strategic thinking with a business-first mindset.
  • Excellent analytical and problem-solving abilities.
  • Ability to influence technical direction across multiple teams.
  • Experience leading architecture reviews and design governance.
  • Strong mentoring and leadership skills.
Success Measures
  • Enterprise data architecture adoption.
  • High-quality, scalable, and secure data platforms.
  • Reduced data delivery timelines.
  • Improved data quality and governance compliance.
  • Optimized cloud performance and cost.
  • Increased business adoption of data and AI capabilities.
  • Successful delivery of enterprise data transformation programs.

What Makes HTC A Great Place To Build Your Future

HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you’ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You’ll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.

At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.

Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

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