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Freelance Data Platform Engineer Jobs in Michigan

Data Platform Engineer

Royal Oak, MI ยท On-site

$85 - $95/hr

We are actively seeking a Data Platform Engineer to build and evolve the modern cloud data platform that powers analytics, internal applications, automation, and AI initiatives across the ...

New

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 ...

Engineer audio systems and integrated technology platforms that augment the driving experience ... This role is responsible for enabling data product teams, analysts, engineers, and business users ...

Engineer audio systems and integrated technology platforms that augment the driving experience ... This role is responsible for enabling data product teams, analysts, engineers, and business users ...

We are seeking a Senior AI Platform Engineer to design, build, and scale next-generation AI solutions for an Enterprise Data Platform on Google Cloud Platform (Google Cloud Platform). This is a ...

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

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

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 ...

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Freelance Data Platform Engineer information

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 are the key skills and qualifications needed to thrive as a freelance data platform engineer?

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.

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 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.

How much do freelance data platform engineers make?

Freelance data platform engineers typically earn between $50 and $150 per hour, depending on experience, skills, and project complexity. Experienced professionals with expertise in cloud platforms, data pipelines, and tools like Apache Spark or Kafka tend to command higher rates. Annual earnings vary widely based on workload and client base, often ranging from $80,000 to over $200,000 for full-time equivalent work.

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:

Data Platform Engineer

Career Now Brands

Royal Oak, MI โ€ข On-site

$85 - $95/hr

Other

Posted 2 days ago

New


Job description

We are actively seeking a Data Platform Engineer to build and evolve the modern cloud data platform that powers analytics, internal applications, automation, and AI initiatives across the organization. Data engineering is the core of this role: designing pipelines, building data models, and ensuring data quality is where you will spend most of your time, but the role doesn't stop at the data warehouse. In the AI era, the highest-impact data engineers can also ship an AWS Lambda, write Terraform, build CI/CD pipelines, and develop lightweight internal tools. You'll build reliable data pipelines first and expand your expertise in cloud infrastructure, platform automation, and AI enablement along the way.

What you will do
  • Design and maintain scalable ELT/ETL pipelines, integrating data from APIs, SaaS platforms, databases, and event streams
  • Build reusable data models and data products in Snowflake, optimizing for performance, reliability, and cost
  • Develop AWS Lambda functions and event-driven workflows
  • Build lightweight internal applications and automation tools (Streamlit, APIs, utilities)
  • Collaborate with engineering teams to expose data through services and applications
  • Implement CI/CD for data and platform components, and manage infrastructure using Terraform or other Infrastructure as Code (IaC) tools
  • Improve observability, monitoring, alerting, and operational automation
  • Implement data quality checks and platform reliability best practices
  • Prepare trusted datasets for analytics and AI use cases, improving metadata, documentation, and data discoverability
  • Support internal AI and automation initiatives
What you will need
  • 3+ years of experience in Data Engineering, Platform Engineering, Cloud Engineering, or a related role
  • Strong Python and SQL skills
  • Experience with Snowflake or another cloud data warehouse
  • Experience with Git and CI/CD pipelines
  • Hands-on experience with two or three of the following: dbt, Airflow (or another workflow orchestration tool), AWS Lambda (or other serverless application development), Terraform (or another IaC tool) โ€” we'd rather hire someone who learns quickly across the stack than someone who simply checks every box
  • Nice to have: Streamlit or other lightweight internal application frameworks, Docker and/or Kubernetes, REST API development, Snowflake Cortex or other AI/LLM technologies
  • Systems thinker: understands how data, applications, and infrastructure work together, with strong troubleshooting and problem-solving skills
  • Strong communicator: clearly explains technical decisions and tradeoffs to both technical and non-technical audiences, and collaborates effectively with engineers, analysts, and business stakeholders
  • Accountable: takes full ownership of the reliability and maintainability of the systems they build
  • Resourceful: curious about new cloud, data, and AI technologies, and always looking for opportunities to automate, simplify, and improve workflows
  • Productive: pragmatic; balances technical excellence with delivering business value
  • Ability to work Eastern Time Zone hours (hybrid/remote)

Our technology stack: AWS Snowflake dbt Airflow Python SQL Terraform GitHub CI/CD Streamlit Tableau AI/LLM technologies

$85,000 - $95,000 a year

Why Career Now Brands

Career Now Brands brings creative marketing solutions to recruitment and enrollment practices in the trucking, education and job distribution industries. Our flagship products - CDL Job Now, Career School Now and RocketPost - help build our clients' businesses while impacting millions of lives by boosting employment and enrollments across the U.S.

This position will be in our new downtown Royal Oak headquarters. We recently renovated a large industrial warehouse into a modern, new office that embodies the culture and character of Detroit's most innovative tech startup.

Our people live four core values: Fearless, Accountable, Productive, and Resourceful. If that's how you work, you'll fit right in.

To learn more about our company, please visit www.careernowbrands.com

Career Now Brands is an equal opportunity employer and does not discriminate on the basis of race, color, gender, religion, age, sexual orientation, national or ethnic origin, disability, marital status, veteran status, or any other occupationally irrelevant criteria.

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