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Remote Data Processing Jobs in Detroit, MI (NOW HIRING)

Detroit Tigers

Cloud Data Engineer

Detroit, MI · On-site +1

$113.40K - $136.10K/yr

This role will be responsible for designing, managing, and automating data processes across our ... The location may be based in Detroit or fully remote. * Occasional evening, weekend, and holiday ...

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

The Senior Data Scientist will design and implement advanced systems that support cross-domain ... application process due to a disability, please call 1-888-336-0660. #LI-Remote #LI-DS2 SG7-8 * ...

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 ...

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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 Detroit, MI is $20.06, according to ZipRecruiter salary data. Most workers in this role earn between $15.96 and $22.12 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 popular job titles related to Remote Data Processing jobs in Detroit, MI? For Remote Data Processing jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Remote Data Processing jobs in Detroit, MI look for? The top searched job categories for Remote Data Processing jobs in Detroit, MI are:
Remote Data Processing jobs near you
Cloud Data Engineer

Cloud Data Engineer

Detroit Tigers

Detroit, MI • On-site, Remote

$113.40K - $136.10K/yr

Full-time

Posted 9 days ago

Job description

Job Summary: The Detroit Tigers are seeking a Cloud Data Engineer, Baseball Systems. This role will be responsible for designing, managing, and automating data processes across our data architecture to support Baseball Operations initiatives, including the deployment and operationalization of machine learning models. This position will report to the Manager, Baseball Systems Data.

Key Responsibilities:

  • Design, implement, and maintain our data architecture and processing pipelines at scale.
  • Design, implement, and use data quality assurance frameworks to support the process of identifying inconsistent data patterns.
  • Collaborate with Tigers data engineers and data scientists to implement good data hygiene practices and procedures in our data processes.
  • Work with external data vendors to triage and remedy data quality issues.
  • Automate and execute test cases in data pipelines and manage data issue tracking.
  • Build and maintain MLOps infrastructure to support the deployment, monitoring, and retraining of machine learning models in production.
  • Partner with data scientists to productionize models, ensuring reproducibility, scalability, and reliability across the ML lifecycle.

Minimum Knowledge, Skills and Abilities:

  • Proficiency building data processing pipelines using SQL and Python.
  • Experience with cloud computing, cloud storage, and cloud services.
  • Experience with cloud-based data lakes, data warehouses, and related tooling.
  • Strong understanding of data strategies and practices, such as continuous integration, regression testing, and versioning.
  • Experience building, maintaining, and querying SQL data warehouses built for data science and analytics.
  • Familiarity with MLOps concepts and tooling, including model serving, monitoring, and pipeline orchestration.

Preferred Knowledge, Skills and Abilities:

  • Understanding of data quality frameworks and best practices for implementation.
  • Familiarity with baseball and with current baseball research.
  • Experience using Apache Spark (Databricks on Azure preferred).
  • Experience with Airflow or similar workflow orchestration tools.
  • Effective communication skills with an ability to explain technical concepts to developers and business partners.
  • Experience with DevOps and MLOps practices for CI/CD pipelines, including model versioning and experiment tracking.
  • Experience working with containers and container deployment, including containerized model serving.
  • Familiarity with open-source data quality frameworks.

Working Conditions:

  • Office environment.
  • The location may be based in Detroit or fully remote.
  • Occasional evening, weekend, and holiday hours are required.

All items listed above are illustrative and not comprehensive. They are not contractual in nature and are subject to change at the discretion of Detroit Tigers.


Detroit Tigersis an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regards to that individual's race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law.


The Company will strive to provide reasonable accommodations to permit qualified applicants who have a need for an accommodation to participate in the hiring process (e.g., accommodations for a job interview) if so requested.

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