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Remote Amazon Data Engineer Jobs in Michigan (NOW HIRING)

Motorola

Senior AI Engineer (US Remote)

Three Rivers, MI · Remote

$180K - $210K/yr

Python (AI/ML development & data processing) * NodeJS with TypeScript (backend services) * AWS ... Prompt engineering & optimization * Model evaluation & testing frameworks * AI observability ...

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Remote Amazon Data Engineer information

What does a remote Amazon data engineer do?

A Remote Amazon Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and databases for Amazon or companies using Amazon Web Services (AWS). They work remotely to process large volumes of data, ensure data quality, and enable efficient data analysis. Their tasks typically include extracting data from various sources, transforming it into usable formats, and loading it into data warehouses or analytics platforms. They often use AWS tools such as Redshift, Glue, S3, and Lambda to manage infrastructure and automate workflows. Strong programming skills in languages like Python or SQL are essential for this role.

What are the key skills and qualifications needed to thrive as a remote Amazon data engineer, and why are they important?

To thrive as a Remote Amazon Data Engineer, you need strong expertise in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically supported by a degree in computer science or a related field. Familiarity with AWS services like Redshift, S3, Glue, and data pipeline tools, as well as certifications such as AWS Certified Data Analytics, are highly valued. Excellent problem-solving, communication, and self-management skills help remote engineers collaborate effectively and deliver reliable data solutions. These abilities are crucial for ensuring robust, scalable data infrastructure and supporting data-driven decision-making in a distributed work environment.

What are some common challenges faced by remote Amazon data engineers, and how can they be addressed?

Remote Amazon Data Engineers often encounter challenges related to collaborating across time zones and ensuring clear communication with global teams. Effective use of collaboration tools, regular virtual meetings, and clear documentation can help bridge these gaps. Additionally, managing large-scale data pipelines on AWS requires staying updated on best practices for security, scalability, and cost optimization. Proactively participating in team stand-ups and engaging in continuous learning about AWS services can significantly enhance productivity and project outcomes.

What is the difference between Remote Amazon Data Engineer vs Remote Amazon Data Analyst?

AspectRemote Amazon Data EngineerRemote Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDesigning data pipelines, managing ETL processesInterpreting data, creating reports and dashboards
Employer & Industry UsageTech companies, e-commerce, cloud servicesRetail, marketing, e-commerce
Common Search & ComparisonFocus on data infrastructure and pipelinesFocus on data insights and reporting

The main difference between a Remote Amazon Data Engineer and a Remote Amazon Data Analyst lies in their roles. Data Engineers build and maintain data pipelines and infrastructure, requiring technical skills in data architecture. Data Analysts interpret data to generate insights, focusing on analysis and reporting. Both roles are essential in data-driven companies but serve different functions within the data ecosystem.

Can I work remotely as a remote amazon data engineer?

Yes, many Amazon Data Engineer roles are available as remote positions, allowing professionals to work from home or other locations. These roles typically require strong skills in data pipelines, cloud platforms like AWS, and relevant certifications, with companies often providing remote work options depending on the team and project needs.

How much do remote Amazon data engineers make?

Remote Amazon data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and skill set. Salaries can vary based on factors such as certifications, expertise in tools like AWS and Spark, and the level of seniority in the role.

What are the most commonly searched types of Amazon Data Engineer jobs in Michigan?

The most popular types of Amazon Data Engineer jobs in Michigan are:

What are popular job titles related to Remote Amazon Data Engineer jobs in Michigan?

For Remote Amazon Data Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Remote Amazon Data Engineer jobs in Michigan look for?

The top searched job categories for Remote Amazon Data Engineer jobs in Michigan are:

What cities in Michigan are hiring for Remote Amazon Data Engineer jobs?

Cities in Michigan with the most Remote Amazon Data Engineer job openings:

Remote Amazon Data Engineer jobs near you

Staff Software Engineer

2Bridge Partners

Detroit, MI • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

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

Job description

Staff Software Engineer2bridge has been engaged in the search for a full-time, direct-hire Staff Software Engineer to join our client in the Marketing Tech Space. Our client provides analytics, customer experience, and lead capture and conversion services focused on various industries. They are looking for a talented and experienced Staff Engineer to join their team.Our client offers a comprehensive package with a competitive salary, a collaborative environment, and full medical, dental, vision, and PTO benefits.Technical ExpertiseDesign, develop, and maintain complex software systems using C#, .NET, Azure, AWS, or another cloud platform.Implement containerization and orchestration solutions using Docker, Kubernetes, and Terraform.Collaborate cross-functionally to ensure high-quality code and adherence to best practices.CollaborationWork closely with product managers, designers, and other engineers to deliver innovative solutions.Contribute to architectural decisions and promote engineering excellence.Participate in code reviews and mentor junior engineers.Advanced Technical LeadershipServe as the technical authority across multiple projects and modules.Architect solutions and make critical technical decisions.Mentorship and InfluenceMentor and guide junior and senior engineers, fostering a culture of engineering excellence.Lead cross-functional initiatives to improve engineering practices and standards.RequirementsBachelor's degree in Computer Science or related field.Minimum of 8 years working as a Backend Software Engineer in C#,.net, Python, Java, or other relevant languages.Mastery of an object-oriented language, associated frameworks, and architecture.Depth of experience building highly available data-driven applications and expertise in data modeling, data warehousing, data pipelines, etc.Experience with Docker and Kubernetes or equivalent container orchestration services.Extensive experience with Azure, AWS, GCP, another major cloud platform, or equivalent public cloud and cloud-native infrastructures.Proficiency with platform engineering practices, including CI/CD, containerization, and infrastructure as code.Experience with microservices architecture and distributed systems architecture.Proven experience leading complex technical projects or initiatives.LocationOpen to remote or hybrid if in the Detroit metro or Ann Arbor area.

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