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Remote Amazon Data Engineer Jobs in Utica, MI (NOW HIRING)

As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in ... on Amazon AgentCore that automates analyst workflows, surfaces insights from program data in ...

AI Engineer

Detroit, MI ยท 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 ...

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 ...

Senior Machine Learning Engineer

Detroit, MI ยท Remote

$126K - $180K/yr

Perform advanced exploratory data analysis on large-scale sensory datasets (image, audio, radar ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

Senior Machine Learning Engineer

Detroit, MI ยท On-site +1

$126K - $180K/yr

Perform advanced exploratory data analysis on large-scale sensory datasets (image, audio, radar ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

MLOps Automation Senior Lead Engineer

Detroit, MI ยท On-site +1

$93K - $189K/yr

Streamline the data, analytics, and model development lifecycle by identifying pain points and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

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Remote Amazon Data Engineer information

See Utica, MI salary details

$40.6K

$118.3K

$161.9K

How much do remote amazon data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote amazon data engineer in Utica, MI is $118,339.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $125,400.00 per year, depending on experience, location, and employer.

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 popular job titles related to Remote Amazon Data Engineer jobs in Utica, MI?

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

What cities near Utica, MI are hiring for Remote Amazon Data Engineer jobs?

Cities near Utica, MI with the most Remote Amazon Data Engineer job openings:

Senior Full-Stack BI Architect / Fabric Data Engineer

Proactive Technology Management

Ferndale, MI โ€ข On-site, Remote

$62.50 - $83.75/hr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 11 days ago


Job description

About Us

At Proactive Technology Management,ย we'reย transforming howย businesses harness data to drive innovation and informed decision-making. As leaders in the SMB space, weย leverageย cutting-edgeย technologies to deliver actionable insights that give our clients a competitive advantage.ย We'reย seeking aย Senior Full-Stack BI Architect / Fabric Data Engineerย to design and implement innovative, domain-driven data solutions that humanize data and empower decision-makers. If you have a passion for making data meaningful and impactful, we want to hear from you!ย 

Role Summary

As a Senior Full-Stack BI Architect / Fabric Data Engineer, you will lead the design and development of robust, enterprise-grade data solutions that prioritize human-centric designย through the use ofย ubiquitous language and domain-driven principles.ย You willย leverageย deepย expertiseย in medallion architecture, advanced data modeling, and visualization to ensure our clients receive intuitive, actionable insights. Your technicalย expertiseย in the Microsoft Cloud Data Stack, DAX, Power Query M, SQL, and Spark Python will drive success in building scalable, user-friendly solutions.ย 

Key Responsibilitiesย 
  • Lead the design and implementation of ETL/ELT pipelines within aย medallion architectureย (Bronze, Silver, andย Goldย layers) to ensure data quality, scalability, and accessibility across use cases.ย ย 
  • Architect and develop advanced data models that reflectย domain-driven design principles, aligning with business domains and usingย ubiquitous languageย to ensure clarity and usability for all stakeholders.ย ย 
  • Design and implement star and snowflake schemas, along withย medallion schema practices, to provide flexible, high-performance data structures for analytics.ย ย 
  • Create dynamic, user-centric dashboards and advanced reports in Power BI, empowering stakeholders with real-time insights and actionable metrics.ย ย 
  • Leverage DAX and Power Query M to craft sophisticated calculations and transformations that enhance data usability and business relevance.ย ย 
  • Build andย optimizeย SQL-based solutions for database management, queries, and data integration, ensuring efficiency and scalability.ย ย 
  • Use Spark Python for processing large datasets and performing advanced analytics to meet complex business requirements.ย ย 
  • Collaborate with business leaders and cross-functional teams to understand data needs, define key performance indicators (KPIs), and ensure alignment with organizational goals.ย ย 
  • Stay informed on advancements in data engineering, business intelligence, and analytics, continuously driving innovation and improvement.ย ย 
  • Mentor team members to build organizational capacity in BI and data engineering best practices.ย ย 

Requirements

Qualifications
  • Bachelor's orย Master's degree in Computer Science, Engineering, Data Science, or a related field; advanced certifications in data engineering or BI are a plus.ย ย 
  • 7+ years of experience in data engineering, BI architecture, or a related role, with a focus on enterprise-grade solutions.ย ย 
  • In-depthย expertiseย inย medallion architecture, data modeling (star schemas, snowflake schemas), and best practices for data warehousing.ย ย 
  • Proven ability to implementย domain-driven design (DDD)ย principles, ensuring data solutions reflect business domains and are accessible through ubiquitous language.ย ย 
  • Expert-levelย proficiencyย in Power BI, DAX, Power Query M, and SQL, withย demonstratedย success delivering scalable, impactful BI solutions.ย ย 
  • Strong programming skills with Spark Python for advanced data processing and analytics.ย ย 
  • Experience with the Microsoft Cloud Data Stack (Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric) and other cloud technologies.ย ย 
  • A track recordย of translating complex datasets into intuitive insights, creating value for both technical and non-technical stakeholders.ย ย 
  • Exceptional problem-solving skills, attention to detail, and ability to thrive in a fast-paced, dynamic environment.ย ย 
  • Strong communicationย and leadership skills, with a focus on collaboration and stakeholder engagement.ย ย 

Benefits

  • Competitive compensation tailored to senior-levelย expertise.ย ย 
  • Opportunities to shape data strategy and lead transformative BI projects.ย ย 
  • Ongoing professional development through advanced training and certifications.ย ย 
  • A supportive, innovative culture that values diversity, inclusion, and creativity.ย ย 
  • Flexible remote work arrangements to support work-life balance.
  • Comprehensive health, dental, and vision insurance
  • 401(k) retirement plan with company match

Ifย you'reย ready to lead the next evolution of business intelligence-harnessing the power ofย medallion architecture,ย domain-driven design, and user-centric modeling-apply today. Help us transform data into a powerful, humanized tool for business success.ย