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Remote Data Engineering Jobs in Michigan (NOW HIRING)

Deloitte

GCP Engineer

Detroit, MI · On-site +1

The practice helps clients modernize technology and data platforms and apply engineering to mission ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Relativity

Senior Applied Scientist

Detroit, MI · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... We work closely with engineering, product, design, data engineering, machine learning operations ...

Ford Motor Company

Data Engineer

Dearborn, MI · On-site +1

$140.63K - $184.14K/yr

Data Engineer - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a hybrid position whereby the employee will work both from home and from the anticipated worksite. Hence ...

DataAnnotation

Data Science Consultant

Lansing, MI · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g ...

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Remote Data Engineering information

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$38.8K

$113.1K

$154.7K

How much do remote data engineering jobs pay per year?

As of May 29, 2026, the average yearly pay for remote data engineering in Michigan is $113,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $119,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

How can I make $2000 a week working from home?

Remote data engineers can earn $2000 or more per week by working on high-demand projects, leveraging specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL. Achieving this income often requires advanced expertise, certifications, and experience with tools such as AWS or Azure, as well as the ability to handle multiple clients or projects simultaneously.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Michigan? The most popular types of Data Engineering jobs in Michigan are:
What are popular job titles related to Remote Data Engineering jobs in Michigan? For Remote Data Engineering jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Michigan look for? The top searched job categories for Remote Data Engineering jobs in Michigan are:
What cities in Michigan are hiring for Remote Data Engineering jobs? Cities in Michigan with the most Remote Data Engineering job openings:
Remote Data Engineering jobs near you
Cybersecurity Engineer

Cybersecurity Engineer

Barracuda Networks Inc.

Ann Arbor, MI • Remote

Full-time

Medical, Retirement, PTO

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

Job description

Job ID 27 - 0231
 
Come join our passionate team! Barracuda is a leading cybersecurity company providing complete protection against complex threats. Our platform protects email, data, applications, and networks with innovative solutions, and a managed XDR service, to strengthen cyber resilience. Hundreds of thousands of IT professionals and managed service providers worldwide trust us to protect and support them with solutions that are easy to buy, deploy, and use. 
  
We know a diverse workforce adds to our collective value and strength as an organization. Barracuda Networks is proud to be an Equal Opportunity Employer, committed to equal employment opportunity and equitable compensation regardless of race, gender, religion, sex, sexual orientation, national origin, or disability. 
Envision yourself at Barracuda:  
  
Barracuda XDR is seeking a passionate and seasoned Cybersecurity Engineer to help us deliver excellent threat research, detection capabilities, and incident response guidance to our customers. You must possess a strong background in security and data engineering, automation, use-case development, threat hunting, and attack simulation. This is a unique opportunity to work with over 40 different cloud, endpoint, and network data sources blending security knowledge with data engineering. Our global 24x7 SOC team is innovative, competitive, and committed to continuous improvement. We are looking for candidates with strong communication, support, and leadership skills. This role requires flexibility and an eagerness to learn new technologies   
   
What you’ll be working on:   
   
  • Detection engineering and use-case development. 
  • ETL, normalization, SQL, python notebooks, anomaly detection. 
  • Emerging threat research and threat intelligence gathering. 
  • SOC tier 3 escalation support. 
  • Security orchestration, automation, and response (SOAR). 
  • Adversarial emulation and ethical hacking. 
  • Incident response and report writing. 
  • Fun cutting-edge security projects.  
What you bring to the role:  
  
Strong foundation in security operations, which provides the context for advanced engineering projects within the Barracuda XDR SOC.  
Security Operations  
  • At least 4-6 years of experience working for a SOC or CIRT is required. 
  • Comfortable and confident leading complex security investigations. 
  • Strong threat hunting abilities in SIEM solutions such as Elastic or Splunk. 
  • Basic hands-on experience with Kali Linux and other offensive security tools. 
  • Experience working with API-based integrations or SOAR applications. 
  • Basic familiarity with cloud services such as AWS and Azure and network technologies like the TCP/IP stack, firewall management, IDS/IPS, and log collection techniques.  
 Security and Data Engineering   
  • At least 2 years of experience with CICD, Python and SQL is required. 
  • Deep understanding of end-to-end detection engineering: research, development, automation, testing (Attack-and-Defend), and documentation. 
  • Familiarity with platforms such as Elastic and Databricks is preferred.  
 General Requirements  
  • Strong verbal and written communication skills. 
  • Willingness to work across time zones when required – we have team members in US East and Ireland also. 
  • Experience with publishing blogs, Github projects, and speaking engagements. 
  • A college degree in Computer Science, Data Science, Cybersecurity, or a related domain. 
  • Relevant security industry certifications such as CySA+, PNPT, or eJPT are preferred  
What you’ll get from us: 
  
A team where you can voice your opinion, make an impact, and where you and your experience are valued. Internal mobility – there are opportunities for cross training and the ability to attain your next career step within Barracuda. 
  
  • Equity, in the form of non-qualifying options 
  • High-quality health benefits 
  • Retirement Plan with employer match 
  • Career-growth opportunities 
  • Flexible Time Off and Paid Time Off benefits 
  • Volunteer opportunities
The anticipated salary range for this role is 105,000 to 140,000. Actual compensation offered will be dependent upon the individual's skills, experience, and qualifications as they directly relate to the requirements of the position, the budget for the position, and applicable employment laws.
At Barracuda, we believe in fair and equitable compensation practices that reflect both market realities and the unique circumstances of each geographical location. We recognize that cost-of-living disparities, market conditions, and other factors can significantly impact compensation expectations in different regions. The compensation range provided in this job description is for illustrative purposes only and may not reflect the actual compensation offers for the position in your location. Final compensation will be determined based on a variety of factors including the candidates’ qualifications and experience.
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