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Freelance Data Platform Engineer Jobs in Michigan

FastTek

Platform Engineer

Dearborn, MI · On-site

Platform Engineer #1058624 * We are seeking a highly motivated full stack developer to join our ... Big Data Skills Preferred: * Design and Build Data Pipelines: Architect, develop, and maintain ...

FastTek

Platform Engineer

Dearborn, MI · On-site

Platform Engineer #1058373 Position Description: The Power Platform & Copilot Studio Administrator ... This role owns tenant governance, environment strategy, Data Loss Prevention (DLP), license ...

Tech Tammina LLC

Power Platform Engineer

Lansing, MI · On-site

Role: Power Platform Engineer Location: Lansing, MI (Hybrid: Onsite Tuesdays and Wednesdays ... Data & Application Management: * Design and manage data models, data flows, integrations, and ...

Ford Motor Company

ALM Platform Engineer

Dearborn, MI · On-site

Plan and execute data migrations, cleanup, and standardization efforts (field normalization ... engineering solutions around an ALM/requirements/test/issue platform. * Hands-on experience with at ...

Ford Motor Company

ALM Platform Engineer

Dearborn, MI · Hybrid

$86K - $144K/yr

... engineering solutions around an ALM/requirements/test/issue platform. * Hands-on experience with at ... data exchange. * 3-5 years' experience with Intermediate scripting experience (Python preferred ...

Deloitte

Databricks Data Engineer II

Detroit, MI · On-site

$113K - $136K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ... Support the modernization of enterprise data platforms by implementing cloud-based ingestion ...

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Freelance Data Platform Engineer information

How do Freelance Data Platform Engineers typically manage collaboration with clients and remote teams?

Freelance Data Platform Engineers often collaborate with clients and distributed teams using project management tools, version control systems, and regular virtual meetings. Clear communication is essential for aligning on data requirements, setting expectations, and providing progress updates. It's common to work asynchronously, so documenting work and maintaining transparent workflows help ensure smooth handoffs. Building trust and reliability is key to fostering long-term client relationships in a freelance setting.

What are the key skills and qualifications needed to thrive as a Freelance Data Platform Engineer, and why are they important?

To thrive as a Freelance Data Platform Engineer, you need strong skills in data architecture, ETL processes, and cloud platform management, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, Spark, AWS, Azure, and certifications such as AWS Certified Data Analytics or Google Cloud Data Engineer are highly valuable. Effective client communication, problem-solving, and project management skills help you stand out, especially when coordinating independently with multiple stakeholders. These competencies ensure you can design scalable solutions, deliver projects efficiently, and build strong client relationships in a dynamic freelance environment.

What is a Freelance Data Platform Engineer?

A Freelance Data Platform Engineer is a professional who designs, builds, and maintains data infrastructure and platforms on a project or contract basis, rather than as a full-time employee. They work with clients to develop scalable and efficient data solutions, such as data warehouses, ETL pipelines, and cloud-based data systems. Their responsibilities often include integrating various data sources, ensuring data quality, and optimizing data workflows to support analytics and business intelligence. Freelance Data Platform Engineers typically have expertise in databases, cloud services, programming, and data architecture. They offer flexibility and specialized skills to organizations that need temporary or project-based support.

What is the difference between Freelance Data Platform Engineer vs Data Engineer?

AspectFreelance Data Platform EngineerData Engineer
CredentialsRelevant certifications (e.g., AWS, GCP, Azure), technical skillsSimilar certifications, technical skills, often full-time roles
Work EnvironmentIndependent, project-based, remote or on-siteFull-time, in-house or remote
Employer & Industry UsageFreelance platforms, consulting firms, startupsTech companies, finance, healthcare, large enterprises
Search & Comparison IntentYes, for freelance opportunities or project-based workYes, for full-time or contract roles

In summary, Freelance Data Platform Engineers typically work independently on short-term projects, requiring similar skills and certifications as Data Engineers but with a focus on flexibility and client-based work. Data Engineers often work full-time within organizations, focusing on building and maintaining data infrastructure.

What are the most commonly searched types of Data Platform Engineer jobs in Michigan? The most popular types of Data Platform Engineer jobs in Michigan are:
What are popular job titles related to Freelance Data Platform Engineer jobs in Michigan? For Freelance Data Platform Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Freelance Data Platform Engineer jobs in Michigan look for? The top searched job categories for Freelance Data Platform Engineer jobs in Michigan are:
What cities in Michigan are hiring for Freelance Data Platform Engineer jobs? Cities in Michigan with the most Freelance Data Platform Engineer job openings:
Freelance Data Platform Engineer jobs near you

Snowflake Administrator / Data Platform Engineer

TechYantram Solutions

Novi, MI • On-site

Other

Posted 16 days ago

Job description

Snowflake Administrator / Data Platform EngineerIntroduction

As a Snowflake Administrator / Data Platform Engineer, you will be responsible for managing and optimizing our Snowflake data platform in a cloud environment. You will work closely with the data engineering team to ensure the platform is running efficiently and effectively to support our data-driven initiatives.

Responsibilities
  • Manage and optimize the Snowflake data platform to ensure high performance and reliability
  • Implement and maintain data pipelines, ETL processes, and data workflows
  • Collaborate with data engineers to design and implement data models
  • Monitor and troubleshoot platform issues, ensuring system availability and data integrity
  • Implement and manage security protocols such as RBAC, SSO, and SCIM
  • Work with cloud services such as Azure to integrate data platform with other systems
  • Stay current on industry best practices and technologies to continuously improve the platform
RequirementsRequired Skills
  • Experience working with Snowflake data platform
  • Strong understanding of data platform architecture and best practices
  • Knowledge of cloud services, particularly Azure
  • Experience with data fabric and data governance
  • Proficiency in implementing security measures such as RBAC, SSO, and SCIM
Preferred Skills
  • Experience with other cloud platforms such as AWS or Google Cloud Platform
  • Certifications in Snowflake or related technologies
  • Experience working in a data-intensive environment
  • Strong problem-solving and analytical skills
  • Excellent communication and collaboration abilities

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