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Only Fans Software Engineer Jobs in Cassopolis, MI

Jayco Inc

Electrical Engineer

Middlebury, IN · On-site

... software, including applications and programming. * Knowledge of arithmetic, algebra, geometry ... Health Clinic for employee use (IN only) * Employee Assistance Program (EAP) Benefits

Aperia Technologies

Solutions Engineer, Remote

Kalamazoo, MI · On-site

$120K - $140K/yr

Experience and familiarity with the sales/pre-sales processes used in either hardware or software ... Base salary only. Salary is dependent on multiple factors including, but not limited to, experience ...

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All JobsOnly Fans Software Engineer JobsOnly Fans Software Engineer Jobs in Cassopolis, MI

Only Fans Software Engineer information

See Cassopolis, MI salary details

$60.5K

$140.4K

$195.6K

How much do only fans software engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for only fans software engineer in Cassopolis, MI is $140,449.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,200.00 and $164,700.00 per year, depending on experience, location, and employer.

How much do Only Fans Software Engineers make?

Only Fans Software Engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and skill set. Salaries for software engineers in tech companies generally vary based on expertise in programming languages, development tools, and project complexity.

How to get a job with Only Fans Software Engineer?

To become an Only Fans Software Engineer, candidates typically need a strong background in software development, proficiency in programming languages such as Python, JavaScript, or Ruby, and experience with web development, APIs, and security. Building a portfolio of relevant projects and demonstrating knowledge of scalable, secure systems can improve chances, along with staying updated on industry best practices and obtaining relevant certifications if applicable.

Does Only Fans Software Engineer hire software engineers?

OnlyFans Software Engineer roles are typically part of the company's technical team, and they do hire software engineers to develop and maintain their platform. Candidates usually need skills in programming, web development, and experience with relevant technologies. Job openings are posted on the company's careers page or job boards when available.

Does Only Fans Software Engineer offer remote jobs?

Many software engineering roles at OnlyFans, including those for the platform's development team, are offered as remote positions. The company has a history of providing flexible work arrangements, and remote work is common in tech roles within the industry. However, specific job listings should be checked for individual remote work options and requirements.
What cities near Cassopolis, MI are hiring for Only Fans Software Engineer jobs? Cities near Cassopolis, MI with the most Only Fans Software Engineer job openings:
Only Fans Software Engineer jobs near you
Infographic showing various Only Fans Software Engineer job openings in Cassopolis, MI as of August 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 100% In-person job distribution, with an average salary of $140,449 per year, or $67.5 per hour.

IT Data Engineer

Western Michigan University

Kalamazoo, MI • On-site

$65K - $76K/yr

Full-time

Medical, Retirement, PTO

Re-posted 4 days ago

Western Michigan University rating

6.7

Company rating: 6.7 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

485th of 616 rated colleges and universities

Job description

Description
The Data Engineer is responsible for designing, building, and maintaining the organization's data
infrastructure to support a scalable, governed, and analytics-ready environment. This role focuses on the
development of robust data pipelines, integration of disparate data sources, and optimization of data storage
and processing frameworks, while contributing to the evolution of the WMed data platform toward a data-asa-
service (DaaS) model that enables standardized, secure, and reusable access to trusted data assets
across clinical operations, medical education, research, compliance, and executive decision-making.
Working within a modern data architecture, the Data Engineer transforms fragmented, system-centric data
into structured, reliable, and accessible datasets. This role partners closely with analysts, stakeholders, and
technical teams to ensure data availability, integrity, and performance across platforms including partner
EHRs, academic systems, and enterprise applications.
Please Note this is a Salaried Hybrid Position that will require on-site attendance. (MI residents only or willing to relocate - at their expense, to Michigan)
This position is NOT eligible for employer-sponsored work authorization (visa sponsorship), now or in the future.
BENEFITS
  • Wellness reimbursement.
  • Continuing education and tuition reimbursement.
  • Employer-funded retirement plan.
  • Two medical plan options: PPO and High Deductible Health Plan (HDHP) with employer HSA contribution.
  • Flexible work solutions based on position and department.
  • Up to four weeks of PTO accrual beginning in year one.
  • Paid holidays.
  • Paid volunteer time.
  • Paid preferred holiday.

DUTIES AND RESPONSIBILITIES:
  • Design, build, and maintain scalable data pipelines to ingest, transform, and load data from clinical, academic, and enterprise systems
  • Develop and manage ETL processes using tools such as Pentaho and Microsoft SSIS, ensuring reliability and performance
  • Design and implement data models and schemas to support downstream analytics and reporting use cases
  • Contribute to the development of a DaaS platform, enabling reusable, governed data products and standardized access patterns for analysts, applications, and self-service users
  • Optimize and maintain PostgreSQL data environments, including performance tuning and storage strategies
  • Implement and monitor data quality, validation, and error-handling processes
  • Establish and maintain data lineage, metadata, and documentation to support governance and transparency
  • Integrate new data sources into the data platform, including APIs, flat files, and third-party systems
  • Troubleshoot and resolve data issues across the full data lifecycle
  • Support the evolution of organizational data architecture toward a modern, scalable platform
  • Contribute to standards, best practices, and governance frameworks for data engineering
  • All other duties as assigned

Requirements
To perform this job successfully, an individual must be able to perform each duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
EDUCATION AND/OR EXPERIENCE:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related technical field (or equivalent experience).
  • 3 to 5 years of experience in data engineering, ETL development, or data platform engineering.
  • Advanced proficiency in SQL (PostgreSQL or similar relational databases).
  • Experience designing and managing data pipelines and workflows (Pentaho, Microsoft SSIS, or similar ETL tools).
  • Experience working with healthcare data systems preferred.
  • Experience integrating academic and enterprise systems preferred.

OTHER SKILLS AND ABILITIES:
  • Strong understanding of data architecture, data modeling, and data warehousing concepts.
  • Experience building and maintaining data pipelines (ETL), orchestration, and scheduling frameworks.
  • Knowledge of data warehousing and/or data lake architectures.
  • Experience with data quality frameworks, validation, and monitoring.
  • Familiarity with performance tuning and query optimization.
  • Familiarity with modern data platform concepts including DaaS and self-service analytics enablement.
  • Understanding of data governance, lineage, and metadata management concepts.
  • Experience working with structured and semi-structured data (CSV, JSON, APIs).
  • Ability to troubleshoot data issues across multiple systems and layers (source to pipeline to warehouse to reporting).
  • Experience with BI tools (Power BI or similar) for downstream data consumption.
  • Ability to learn and adapt to evolving data technologies and platforms.

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