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Night Shift Data Engineer Remote Jobs in Michigan

Senior Staff Data Engineer

Portage, MI ยท On-site +1

$153K - $255K/yr

Remote Join a team focused on building scalable, enterprise-grade data platforms that support ... Own end-to-end delivery of complex data engineering initiatives from requirements through ...

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... If you would like more information about how your data is processed, please contact us. apply for ...

Vision Engineer

Detroit, MI ยท On-site +1

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... If you would like more information about how your data is processed, please contact us.

You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

New

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 ...

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the ... Build and lead a high-performing team of data scientists, analysts, and engineers. * Promote a ...

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Night Shift Data Engineer Remote information

What does a night shift data engineer remote do?

A Night Shift Data Engineer (Remote) is responsible for designing, building, and maintaining data pipelines and infrastructure during overnight hours, often to support real-time data processing or to ensure uninterrupted operations across global teams. Working remotely, they monitor data flows, troubleshoot issues, and optimize performance, ensuring data is available and accurate for business needs. They often collaborate with other engineers and analysts in different time zones, making communication skills and flexibility important. Night shift roles may be required to support 24/7 operations or to align with business activities in other regions.

What are the key skills and qualifications needed to thrive as a night shift data engineer remote?

To excel as a Night Shift Data Engineer (Remote), you need a solid background in computer science, experience with data modeling, ETL processes, and proficiency in programming languages like SQL and Python. Familiarity with data warehousing solutions, cloud platforms (such as AWS or Azure), and tools like Apache Spark or Hadoop is typically required, along with relevant certifications. Strong problem-solving abilities, effective written communication, and self-motivation are crucial soft skills for remote, overnight work. These competencies ensure high-quality data management, seamless workflow continuity, and reliable support for business operations during off-peak hours.

What are some common challenges faced by night shift data engineers working remotely, and how can they be managed?

Night shift data engineers working remotely often face challenges such as maintaining effective communication with daytime teams, managing irregular sleep schedules, and staying engaged while working independently. To address these, it's essential to establish clear handoff procedures with colleagues, use collaboration tools effectively, and set consistent routines for work and rest. Regular check-ins with teammates and proactive documentation can also help ensure smooth project continuity and personal well-being.

What is the difference between Night Shift Data Engineer Remote vs Night Shift Data Analyst Remote?

AspectNight Shift Data Engineer RemoteNight Shift Data Analyst Remote
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Analytics, Data Analysis certifications
Work EnvironmentTechnical, infrastructure-focusedBusiness, reporting-focused
Employer & Industry UsageTech, finance, healthcareRetail, marketing, finance
Common Search & ComparisonYesNo

Night Shift Data Engineer Remote roles focus on building and maintaining data pipelines and infrastructure, requiring technical certifications and a background in computer science. Night Shift Data Analyst Remote positions emphasize analyzing data to generate reports, often needing analytics certifications. Both roles operate remotely during night shifts but serve different functions within organizations.

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

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

Infographic showing various Night Shift Data Engineer Remote job openings in Michigan as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 100% Remote job distribution.

Senior Staff Data Engineer

Stryker

Portage, MI โ€ข On-site, Remote

$153K - $255K/yr

Full-time

Posted 10 days ago


Job description

Work Flexibility: Remote

Join a team focused on building scalable, enterprise-grade data platforms that support complex healthcare, clinical, device, and commercial data domains. In this role, you will shape modern data architecture strategies, develop reusable data products, and help establish secure, governed, and high-performing data ecosystems using cloud-based technologies.

What You Will Do

  • Define and evolve enterprise data architecture patterns across Azure and Databricks environments.
  • Establish scalable data ingestion, transformation, and modeling frameworks supporting multi-domain data.
  • Drive platform decisions related to performance optimization, scalability, and cost efficiency.
  • Lead the design and implementation of reusable data assets and data products that enable self-service analytics.
  • Own end-to-end delivery of complex data engineering initiatives from requirements through deployment.
  • Design and implement data pipelines supporting healthcare data sources including EHR, registries, imaging, robotics, telemetry, and patient-reported outcomes.
  • Define and implement data governance, lineage, cataloging, and access-control frameworks while supporting privacy and compliance requirements.
  • Provide technical leadership, mentor data engineering teams, and contribute to engineering standards and continuous improvement initiatives.

What You Will Need

Required Qualifications

  • Bachelor's degree in Computer Science, Data Analytics, Mathematics, Statistics, Data Science, or a related field.
  • Minimum 6 years of related data engineering and architecture experience.

Preferred Qualifications

  • Experience with Databricks, including Delta Lake and Unity Catalog, and Azure data services such as Azure Data Factory, Synapse, and ADLS Gen2.
  • Experience designing scalable data architectures using medallion or lakehouse patterns.
  • Experience with distributed data processing technologies, including Spark, SQL, and Python.
  • Experience architecting and optimizing large-scale ETL/ELT pipelines, orchestration frameworks, and performance tuning solutions.
  • Experience implementing data governance, metadata management, lineage, and data quality frameworks.
  • Knowledge of healthcare data, clinical datasets, privacy regulations, and compliance requirements.
  • USN: $118,000 - $196,700 USD Annual
  • US5: $123,900 - $206,500 USD Annual
  • US10: $129,800 - $216,400 USD Annual
  • US15: $135,700 - $226,200 USD Annual
  • US20: $141,600 - $236,000 USD Annual
  • US30: $153,400 - $255,700 USD Annual

View the U.S. work location and transparency guide to find the pay range for your location.

Travel Percentage: 10%Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer - M/F/Veteran/Disability.Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.