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Software Engineer In Germany Jobs in Muskegon, MI

Sr. Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

S. degree in Computer Information Systems, Computer Science, or related field. * Experience: 6+ years of hands-on experience in data engineering and ETL/ELT development is required. This includes ...

Bachelor's in Electrical or Software Engineering * 5 years related experience We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Automation Controls Engineer

Comstock Park, MI · On-site

$70K - $92K/yr

Bachelor's in Electrical or Software Engineering * 5 years related experience We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Automation Controls Engineer

Comstock Park, MI · On-site

$70K - $92K/yr

Bachelor's in Electrical or Software Engineering * 5 years related experience We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Controls Engineer

Comstock Park, MI · On-site

$70K - $90K/yr

Bachelor's degree in electrical or software engineering * 3+ years' experience in a controls engineering role at an automation/machine build shop. Lear Corporation is an Equal Opportunity Employer ...

Controls Engineer

Comstock Park, MI

$70K - $90K/yr

Bachelor's degree in electrical or software engineering * 3+ years' experience in a controls engineering role at an automation/machine build shop. Lear Corporation is an Equal Opportunity Employer ...

Data Engineer

Allendale, MI

$99K - $119K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Allendale, MI · On-site

$99K - $119K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Sr Systems Engineer

Muskegon, MI · On-site

$94K - $129K/yr

About the Organization RENK America is a leading supplier in the defense, marine and industry ... Technical lead of cross-functional matrixed project team (ME, EE, Software, etc.) for engineering ...

... and software for military ground vehicles including tanks, howitzers, and infantry fighting ... Responsible for electrical systems design, analysis, integration, and performance evaluation in ...

Knowledgeable in the use of common office automation, communication, software and tools, Herman Miller mainframe applications and engineering related software. * Must be a skilled problem solver and ...

Knowledgeable in the use of common office automation, communication, software and tools, Herman Miller mainframe applications and engineering related software. * Must be a skilled problem solver and ...

Knowledgeable in the use of common office automation, communication, software and tools, Herman Miller mainframe applications and engineering related software. * Must be a skilled problem solver and ...

Showing results 41-60

Software Engineer In Germany information

See Muskegon, MI salary details

$57.4K

$133.3K

$185.6K

How much do software engineer in germany jobs pay per year?

As of Aug 9, 2026, the average yearly pay for software engineer in germany in Muskegon, MI is $133,272.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,400.00 and $156,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a software engineer in Germany?

To thrive as a Software Engineer in Germany, you generally need a degree in computer science or a related field, strong programming skills (such as in Java, Python, or C++), and a solid understanding of software development principles. Familiarity with tools like Git, Docker, cloud platforms (AWS, Azure), and Agile methodologies, as well as certifications like AWS Certified Developer, are often expected. Excellent problem-solving abilities, teamwork, and strong communication skills help you stand out in multinational and cross-functional environments. These skills are crucial for delivering high-quality, reliable software solutions that meet business and user needs in Germany’s competitive tech landscape.

What are some common challenges faced by software engineers working in Germany, and how can they be addressed?

Software engineers in Germany often encounter challenges such as navigating language barriers within multicultural teams and adapting to local work culture, which emphasizes precision, planning, and collaboration. Additionally, understanding Germany's strict data privacy regulations (such as GDPR) is essential, as these impact software development practices. To address these challenges, it is beneficial to invest time in learning basic German, familiarize yourself with relevant legal frameworks, and actively participate in team meetings to foster effective collaboration. Many companies also offer language courses and cultural integration programs to support international hires.

What does a software engineer do in Germany?

A Software Engineer in Germany is responsible for designing, developing, testing, and maintaining software applications or systems according to client or company requirements. They often work with teams using modern programming languages and tools to create efficient, scalable, and secure solutions. In addition to programming, software engineers may also be involved in problem-solving, debugging, code reviews, and documentation. The role can vary depending on the industry, but it typically requires strong technical skills and the ability to work collaboratively.

What is the difference between Software Engineer In Germany vs Software Developer In Germany?

AspectSoftware Engineer In GermanySoftware Developer In Germany
Required CredentialsBachelor's or Master's in Computer Science, relevant certificationsBachelor's or Master's in Computer Science, relevant certifications
Work EnvironmentDesign, develop, and maintain software systems, often involved in architecture decisionsFocus on coding, implementation, and debugging of software applications
Employer & Industry UsageUsed across tech companies, finance, automotive, and manufacturing sectorsCommonly used in software firms, startups, and IT departments
Search & Comparison IntentInterested in roles involving system design and architectureLooking for coding-focused roles and project implementation

In Germany, Software Engineers typically engage in system design and architecture, requiring broader technical skills, while Software Developers focus on coding and implementing software solutions. Both roles often require similar educational backgrounds and certifications, but their daily tasks and responsibilities differ slightly based on scope and focus.

Are software engineers in demand?

Software engineers are highly in demand in Germany due to the country's strong technology sector and digital transformation initiatives. Skills in programming languages such as Java, Python, and experience with cloud platforms like AWS or Azure increase employability. The demand is driven by the need for digital innovation across industries, making it a favorable job market for software engineers.

How much do software engineers get paid in Germany?

Software engineers in Germany typically earn between €50,000 and €70,000 annually, with experienced professionals and those working in major cities earning higher salaries. Salaries can vary based on skills, experience, and the specific region or industry sector.
What cities near Muskegon, MI are hiring for Software Engineer In Germany jobs? Cities near Muskegon, MI with the most Software Engineer In Germany job openings:

Sr. Data Engineer

BISSELL Homecare

Grand Rapids, MI • On-site

$110K - $132K/yr

Full-time

Re-posted 21 days ago


Job description

Overview
The Sr. Data Engineer will serve as a key technical contributor responsible for the design, development, and ongoing support of the company's enterprise data platform and business intelligence ecosystem. This role enables the organization to extract hidden insights from vast amounts of data-leveraging scalable ETL pipelines and cloud technologies-to empower smarter, faster decision-making across the business.
This person will lead the development of scalable ETL/ELT pipelines using IICS (Informatica Intelligent Cloud Services) and AWS services (Lambda, Glue, Redshift, Bedrock, and SageMaker). Working closely with Data Engineers, BI analysts, business stakeholders, and external consultants, this person will architect and evolve the data lake-ensuring data quality and integrity are maintained at all times. The Sr. Data Engineer must be a strong problem solver and multitasker who thrives managing multiple concurrent projects, resolves production bugs under pressure, and translates complex business needs into scalable technical solutions.
Responsibilities
  • Lead the design and development of ETL/ELT code to integrate data into the enterprise data lake using IICSd (Informatica Intelligent Cloud Services) and AWS Glue; mentor junior engineers and contribute to platform architecture decisions with direction from the Data Engineering Lead.
  • Develop and maintain deep knowledge of the customer's business needs as they relate to data flows, data models, and BI consumption patterns.
  • Support the integration of AI and machine learning capabilities into data workflows using AWS Bedrock and SageMaker; ensure data pipelines are clean, well-structured, and optimized for analytics and AI consumption.
  • Design and implement AI-ready data pipelines-ensuring data is clean, well-structured, and optimized for downstream model training, inference, and analytics consumption.
  • Collaborate with business process owners, external consultants, and the broader business community to define, understand, and prioritize demand for process and solution changes that optimize business value and BI delivery efficiency.
  • Work closely with the Data Engineering Lead to estimate levels of effort for platform changes and partner with the business community to set priorities across multiple concurrent initiatives.
  • Own the full delivery lifecycle: participate in requirements gathering; prepare requirements documents, functional and technical designs, test scenarios, and deployment plans.
  • Manage and resolve all Data Engineering production support tickets; proactively triage and fix bugs in production pipelines, maintain SLAs, and report resolution progress to the business as requested.
  • Leverage AWS services-including Lambda, Glue, Redshift, Bedrock, and SageMaker-to build, optimize, and modernize data platform capabilities.
  • Understand where data originates and how it is used across most process areas; ensure data lineage, quality, and integrity are maintained throughout the data lifecycle.
  • Champion continuous improvement across data engineering practices, tooling, and documentation standards.
  • May be required to perform other duties as assigned.

Qualifications
REQUIRED EDUCATION AND EXPERIENCE
  • Education: or B.S. degree in Computer Information Systems, Computer Science, or related field.
  • Experience: 6+ years of hands-on experience in data engineering and ETL/ELT development is required. This includes strong proficiency in Python and GUI ETL tools such as IICS (Informatica Intelligent Cloud Services); and experience with AWS data services (Lambda, Glue, Redshift, Bedrock, SageMaker). Candidates with fewer than 6 years of relevant experience will not be considered.

REQUIRED SKILLS
  • Strong Python proficiency: ability to develop, analyze, debug, and optimize ETL pipelines, automation scripts, and data transformation logic end-to-end.
  • Hands-on experience with IICS (Informatica Intelligent Cloud Services) for enterprise-scale ETL/ELT development, maintenance, and CI/CD pipeline integration.
  • Deep AWS expertise across Lambda, Glue, Redshift, Bedrock, and SageMaker; ability to architect and deploy cloud-native data solutions.
  • Experience working with generative AI services such as AWS Bedrock or SageMaker to support AI-powered data workflows and analytics use cases.
  • Proven ability to resolve bugs and incidents in production data pipelines; conducts root-cause analysis and implements preventive controls to maintain SLA commitments.
  • Must be a strong multitasker with the ability to manage and lean into multiple concurrent projects simultaneously; quickly and accurately shifts attention among dynamic priorities, picks up new initiatives with minimal ramp-up time, and delivers results across workstreams without sacrificing quality or missing deadlines.
  • Strong critical-thinking and problem-solving skills: demonstrates a decisive, creative approach to difficult business and technical challenges; translates problems into practical, scalable solutions.
  • Ability to develop, analyze, and modify complex processes, data structures, and models.
  • Ability to create and maintain thorough documentation, including requirements, functional/technical designs, and user manuals.
  • Excellent listening, communication, interpersonal, and presentation skills; ability to work with and interview management, consultants, and subject matter experts to gather, identify, and document complex business requirements.
  • Organizational ability: demonstrates a systematic, process-oriented approach; excels at cutting through ambiguity and turning chaos into order across large, multi-stakeholder projects.
  • Client service skills: consistently provides attentive, courteous, and informed service; willing to listen and collaborate with customers; driven to deliver practical, sustainable results.
  • Quality control mindset: checks data pipelines, new data sets, and reports for errors related to both data accuracy and presentation.
  • Self-motivated, independent, and resourceful; able to plan, organize, and execute projects with minimal supervision.
  • Effective in a team-oriented environment; works collaboratively with data engineers, BI analysts, business stakeholders, and external consultants.
  • This position requires the ability to manage data flows, perform analysis, generate summary reports, and communicate by voice or data while connected from the office, at home, or while traveling by laptop or mobile device regularly without regard to time zone or day of the week.

WHAT'S NEXT, APPLY NOW!
BISSELL is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, ethnicity, disability, religion, national origin, gender, gender identity, gender expression, marital status, sexual orientation, age, protected veteran status, or any other characteristic protected by law.