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Remote Data Processing Jobs in Michigan (NOW HIRING)

Cavnue

Senior Software Engineer - Core

Detroit, MI · Remote

$121.30K - $159.90K/yr

Experience with high-throughput data processing techniques and integrated build systems like Buck2 ... Remote - $150,000 - $195,000 Additional Compensation: The successful candidate may be eligible to ...

Dart Container

Associate Data Engineer

Mason, MI · On-site +1

$14 - $18.25/hr

On-site role | No relocation or remote work available This role is not eligible for visa ... Quickly secure initial data access, then build scalable, reliable ETL processes * Analyze system ...

CSAA

$39.50 - $54.50/hr

Partners with data group to execute testing of process for data components. * Support business ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

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How much do remote data processing jobs pay per hour?

As of May 29, 2026, the average hourly pay for remote data processing in Michigan is $17.66, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $19.47 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Data Processing specialist, you need strong analytical skills, attention to detail, and proficiency in data entry and management, often supported by a relevant degree or experience in data-related roles. Familiarity with databases, spreadsheet software like Microsoft Excel or Google Sheets, and sometimes data processing tools such as SQL or Python is typically required. Excellent time management, self-motivation, and clear communication are essential soft skills for remote collaboration and meeting deadlines. These abilities ensure data accuracy, efficient processing, and effective teamwork in a remote work environment.

What are some common challenges faced by professionals in remote data processing roles, and how can they be overcome?

Remote data processing professionals often encounter challenges such as ensuring data accuracy, managing large datasets, and maintaining clear communication with distributed teams. To overcome these, it's important to establish strong data validation protocols, use reliable tools for data management, and schedule regular virtual meetings to stay aligned with team objectives. Additionally, setting clear expectations and using collaborative platforms can help mitigate misunderstandings and improve workflow efficiency.

What is remote data processing?

Remote data processing refers to the collection, analysis, and management of data from a location outside of a traditional office setting, often using cloud-based tools and remote access technologies. Professionals in this role handle data entry, validation, organization, and sometimes basic analytics, ensuring data integrity and accessibility for organizations. This job typically requires strong computer skills, attention to detail, and the ability to work independently while maintaining data security and privacy protocols.

What is the difference between Remote Data Processing vs Remote Data Analysis?

AspectRemote Data ProcessingRemote Data Analysis
Primary RoleHandling data input, cleaning, and preparationInterpreting data to generate insights and reports
Skills & CertificationsData management, SQL, basic scriptingStatistical analysis, data visualization, tools like Excel, R, Python
Work EnvironmentData warehouses, cloud platforms, databasesAnalysis tools, dashboards, reporting software
Industry UsageData management teams, IT departmentsBusiness intelligence, marketing, finance

Remote Data Processing focuses on preparing and managing raw data, while Remote Data Analysis involves interpreting that data to inform decisions. Both roles often require similar technical skills but differ in their core responsibilities and end goals.

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

Principal Software Engineer, DevOps

Utilidata

Ann Arbor, MI • On-site, Remote

$180K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago

Job description

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade, we have applied AI to the electric grid - bringing real-time visibility and power-flow control to complex energy infrastructure. Our Karman platform, built on a custom NVIDIA module, brings that same capability to AI data centers, giving operators a way to better use the power already available to them.
We are seeking a DevOps Engineer to help design, build, and operate Utilidata's off-device platform that ingests, processes, and serves data flowing from edge AI devices. The role will build and maintain infrastructure across on-premises and cloud environments - bridging edge deployments with cloud-based data processing to support analytics, operations, and ML workloads at scale. This is a hands-on development role with technical leadership responsibilities and with company wide impact. This engineer will architect and maintain the systems that keep our platform running, set technical direction for infrastructure and deployment practices, and mentor engineers. This engineer will partner closely with on device, and ML teams to ensure our off-device platform is resilient, well-instrumented, and ready to scale. This is a remote position based in the United States, working with distributed teams across the country.
Responsibilities
  • Oversee the deployment and management of containerized applications using Kubernetes, ensuring optimal performance and availability
  • Contribute to strategic planning regarding how the infrastructure solutions evolve to match the requirements of Data Center partners
  • Lead the design, implementation, and maintenance of scalable and reliable systems on AWS and/or on-premise
  • Utilize Terraform for infrastructure as code to automate the provisioning and management of cloud resources
  • Monitor system performance and uptime, ensuring systems meet established service level objectives (SLOs)
  • Support SOC2 security compliance requirements for data handling
  • Mentor and guide team members in DevOps practices, promoting a culture of reliability and excellence
  • Advocate for automation of operational tasks to enhance efficiency and reduce manual intervention
  • Collaborate with cross-functional teams to build and maintain CI/CD pipelines
  • Troubleshoot and resolve complex production issues, conducting root cause analysis and implementing corrective actions
  • Participate in on-call rotations and incident response teams
  • Assist in capacity planning, performance tuning, and technical decision-making
  • Drive continuous improvement initiatives for processes and infrastructure
Minimum Qualifications
  • 8+ years of development experience including extensive experience in platform engineering, SRE, or distributed systems, with clear senior or principal-level impact
  • Experience designing and operating infrastructure across on-premises and cloud environments
  • Strong proficiency in container orchestration, particularly Kubernetes
  • Strong proficiency with AWS services and architecture
  • Hands-on experience with Terraform for infrastructure automation
  • Familiarity with monitoring tools (Prometheus, Grafana, or similar) and observability best practices
  • Excellent problem-solving skills, leadership abilities, and attention to detail
  • Strong communication and collaboration skills, with experience in driving technical outcomes
  • Willingness to travel up to 20% of time
Enhanced Qualifications (Nice to Have)
  • Bachelor's degree in Computer Science, Engineering, or a related field
  • Experience supporting or enabling MLOps platforms, model deployment pipelines, or ML-adjacent infrastructure
  • AI Workload scheduling using Kubernetes
  • Knowledge of Apache Spark for large-scale data processing
  • Knowledge of database technologies (SQL, NoSQL)
  • Understanding of networking concepts and security best practices
Salary Range: $180,000 to $210,000 base compensation depending on experience and stock options. Salary will be commensurate with an individual's skills, training, years of experience, and in line with internal compensation bands.
Location: This position can be performed remotely from anywhere in the United States.
Our Commitments:
Utilidata values the diversity of our team. We provide equal employment opportunities without regard to race, color, religion, creed, sex, gender, sexual orientation, gender identity or expression, national origin, age, physical disability, mental disability, medical condition, pregnancy or childbirth, sexual orientation, genetics, genetic information, marital status, or status as a covered veteran or any other basis protected by applicable federal, state and local laws.
We are committed to:
  • Creating a diverse and inclusive workplace that is welcoming, supportive, affirming and respectful
  • Empowering employees to solve problems and work together to make a difference
  • Providing mentorship and growth opportunities as part of a collaborative team
  • A flexible work environment with flexible paid time off
  • Competitive compensation and benefits, including health, dental, vision, and employer-match 401k

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