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Remote Amazon Data Engineer Jobs in Michigan (NOW HIRING)

Cisive

Data Engineer

Wyoming, MI · On-site +1

$103K - $124K/yr

Data Engineer (Microsoft Stack) Join our collaborative Data and AI team, where every member ... Flexible/remote work options.

Birdi

Principal Data Engineer

Plymouth, MI · Remote

$109K - $130K/yr

Remote Employment: Full Time Location: US Seniority: Senior Level Technologies: Tableau, Tableau Server, SSIS, SQL Server, PostgreSQL, Python, SSRS, Azure, Cloud, Git, CI/CD, Terraform ...

Stefanini Group

Epic Data Engineer

Grand Rapids, MI · Remote

Stefanini is looking for Epic Data Engineer-Remote For quick apply, please contact Sudhanshu Shrivastava; Ph: 248 582 6510 Sudhanshu.shrivastava@stefanini.com W2 Candidates Only! Job Summary: Data ...

Stefanini Group

Epic Data Engineer

Grand Rapids, MI · Remote

Stefanini is looking for Epic Data Engineer-Remote For quick apply, please contact Sudhanshu Shrivastava; Ph: 248 582 6510 Sudhanshu.shrivastava@stefanini.com W2 Candidates Only! Job Summary: Data ...

Stefanini Group

Epic Data Engineer

Grand Rapids, MI · Remote

Stefanini is looking for Epic Data Engineer-Remote For quick apply, please contact Sudhanshu Shrivastava; Ph: 248 582 6510 Sudhanshu.shrivastava@stefanini.com W2 Candidates Only! Job Summary: Data ...

Utilidata

Principal Data Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

We're looking for a Principal Data Engineer to own the technical direction and execution of our data engineering platform. This role is responsible for setting architectural direction for the data ...

Kobie Marketing

Sr. Data Engineer

Detroit, MI · Remote

$104K - $142K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Our Data Engineering team builds and maintains the operational data foundation that powers real ...

Kobie Marketing

AI Engineer

Detroit, MI · On-site +1

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... on Amazon AgentCore that automates analyst workflows, surfaces insights from program data in ...

Kobie Marketing

AI Engineer

Detroit, MI · Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... on Amazon AgentCore that automates analyst workflows, surfaces insights from program data in ...

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

Bachelor's degree in Data Science, Engineering, Mathematics, Computer Science, Operations Research ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

CSAA

Collaborate with engineers and architects on hub configuration and solution design, integration ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... programming, along with the ability to translate complex findings into clear business ...

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All JobsAmazon Data Engineer JobsRemote Amazon Data Engineer JobsRemote Amazon Data Engineer Jobs in Michigan

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 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.

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 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 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

Data Engineer

Cisive

Wyoming, MI • On-site, Remote

$103K - $124K/yr

Full-time

Re-posted 29 days ago

Cisive rating

8.3

Company rating: 8.3 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

75th of 481 rated business services

Job description

It\'s fun to work in a company where people truly BELIEVE in what they\'re doing!
We\'re committed to bringing passion and customer focus to the business.

At Cisive, our vision is to make securing the right talent effortless. We provide technology-first background screening, identity verification, and continuous monitoring solutions that help organizations hire and manage their workforce with confidence.

Our Values

·       Integrity First: We uphold the highest ethical standards in everything we do.

·       Innovate Fearlessly: We challenge the status quo, embrace emerging technologies, and continuously refine our solutions to stay ahead of industry needs.

·       Win Together: We break down barriers, share knowledge, and champion teamwork across departments, brands, and global offices to achieve our collective goals.

·       Customer Obsessed: We go beyond transactional interactions to become trusted partners in risk mitigation and workforce management.

·       Stay One Step Ahead: We proactively seek knowledge that helps us—and our clients—stay ahead of the curve.

Job Description:

Data Engineer (Microsoft Stack)

Join our collaborative Data and AI team, where every member\'s contributions are valued and visible. As a Data Engineer, you\'ll take on meaningful responsibilities that directly impact our projects and business at Cisive. This is an excellent opportunity for someone eager to work hands-on with Microsoft\'s cloud-native data technologies, develop new skills in modern data platforms, and be recognized for their achievements. You\'ll be supported by experienced professionals and have opportunities to showcase your work in cutting-edge cloud environments.

Responsibilities:

  • Collaborate with the Data and AI team to design and build data infrastructure, including ETL/ELT pipelines using Azure Data Factory.

  • Develop and maintain data models, cloud data warehouses, and data lakes using Azure SQL Server, and Azure SQL Database

  • Write and optimize T-SQL scripts, stored procedures, and functions for data transformation and integration.

  • Support data quality, governance, and security initiatives.

  • Participate in the full lifecycle of data projects, from requirements gathering to deployment and monitoring.

Qualifications:

  • (Required) 3+ years of data engineering experience, preferably with Microsoft data technologies.

  • (Required) Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field.

  • (Required) Strong SQL skills and experience with Microsoft SQL Server.

  • (Required) Proficiency in modern coding practices, including Visual Studio Code, Git, and test frameworks (unit testing, regression testing, etc.).

  • (Required) Experience with Azure Data Factory, SSIS, and/or other Microsoft Azure data services.

  • (Required) Experience designing and implementing star schema data models.

  • (Nice to Have) Experience with Databricks and Python

  • Excellent problem-solving skills, attention to detail, and strong communication skills.

  • Ability to work effectively in a team environment and manage multiple tasks with minimal supervision.

What We Offer:

  • Hands-on experience with real-world data engineering projects using Microsoft’s data stack.

  • Mentorship and guidance from experienced data professionals.

  • Opportunities to take on significant responsibilities and make a tangible impact.

  • A collaborative and inclusive work environment.

  • Flexible/remote work options.

What Cisive employees say

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