ZipRecruiter

Log In

2

Remote Data Engineering Jobs in Kalamazoo, MI (NOW HIRING)

CIBC

Data Security Consultant

Three Rivers, MI · On-site +1

$130K - $150K/yr

... Engineer (CDPSE) are considered an asset. * Values matter to you. You bring your real self to work ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

CIBC US

Data Security Consultant

Three Rivers, MI · On-site +1

$130K - $150K/yr

... Engineer (CDPSE) are considered an asset. * Values matter to you. You bring your real self to work ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

Motorola

Systems Engineer - US Remote

Three Rivers, MI · Remote

$90K - $100K/yr

The Data Conversion team migrates/converts historical customers' data into Motorola Solutions ... Bachelor's degree in Engineering or Technology * Technical/software development experience.

Harris

Quality Assurance Analyst

Three Rivers, MI · On-site +1

$55K - $65K/yr

Ability to work effectively with developers, support staff, product stakeholders, and other cross ... Ability to manage priorities, meet deadlines, and work independently in a remote team environment.

next page

Showing results 1-20

All JobsData Engineering JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Kalamazoo, MI

Remote Data Engineering information

See Kalamazoo, MI salary details

$42K

$122.4K

$167.5K

How much do remote data engineering jobs pay per year?

As of Jul 30, 2026, the average yearly pay for remote data engineering in Kalamazoo, MI is $122,375.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,000.00 and $129,700.00 per year, depending on experience, location, and employer.

Can I work remotely as a data engineer?

Yes, remote data engineering roles are common, allowing professionals to work from various locations. These jobs often require skills in cloud platforms, programming, and data pipeline tools, and may involve collaboration through online communication tools.

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.

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.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives.

How to make $1000 a week remote?

Remote data engineers can earn $1000 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. Building a strong portfolio, obtaining relevant certifications, and working with multiple clients or on freelance platforms can help increase weekly income. Consistent remote work and advanced expertise are key to reaching this earning level.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Python, and cloud platforms remains critical for managing data workflows effectively.

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 popular job titles related to Remote Data Engineering jobs in Kalamazoo, MI? For Remote Data Engineering jobs in Kalamazoo, MI, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Kalamazoo, MI look for? The top searched job categories for Remote Data Engineering jobs in Kalamazoo, MI are:
What cities near Kalamazoo, MI are hiring for Remote Data Engineering jobs? Cities near Kalamazoo, MI with the most Remote Data Engineering job openings:
Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Kalamazoo, MI as of July 2026, with employment types broken down into 71% Full Time, 10% Part Time, 5% Temporary, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $122,375 per year, or $58.8 per hour.

Data Engineering Manager

Hastings Mutual Insurance Company

Hastings, MI • On-site, Remote

Full-time

Retirement, PTO

Re-posted 24 days ago

Job description

Lead the engineering, integration, and architecture behind our enterprise data ecosystem.

Hastings Insurance is seeking a Data Engineering Manager to join our Information Technology team. In this leadership role, you will oversee the design, development, and operational management of enterprise data solutions that support business operations, reporting, analytics, and strategic decision-making across the organization.

Leading a team of data engineering and warehousing professionals, you will guide the development of enterprise data pipelines, integration processes, data warehousing environments, and data architecture practices that ensure reliable, scalable, and secure access to critical business information. This role combines technical leadership, people leadership, and cross-functional collaboration to strengthen the data foundation that supports our business.

As advanced analytics and data science functions are led within our Actuarial & Risk Management group, this position is primarily focused on data engineering, data warehousing, enterprise integration, and data architecture.

 Location & Schedule:
  • This is a full-time position working Monday through Friday, 8:00 a.m. to 4:30 p.m.
  • The role may be performed onsite at our Hastings, Michigan headquarters or in a hybrid arrangement. We may also consider remote candidates who reside in one of our operating states: Michigan, Ohio, Indiana, Illinois, or Wisconsin.
  • Candidates working remotely should expect periodic travel to Hastings throughout the year for meetings, collaboration, and business needs.
  What You’ll Do:
  • Lead, coach, and develop a team responsible for enterprise data engineering, data warehousing, and data integration solutions.
  • Oversee the design, development, deployment, and maintenance of enterprise data pipelines and data warehousing environments.
  • Ensure reliable movement, transformation, and delivery of data from systems of record into centralized data platforms.
  • Guide data architecture, data modeling, and integration practices that support secure, scalable, and maintainable solutions.
  • Partner with IT engineering, architecture, business stakeholders, and data owners to align data solutions with organizational needs.
  • Promote data governance standards, data quality practices, and consistency across enterprise data assets.
  • Support the development and maintenance of enterprise reporting and business intelligence data structures.
  • Develop and manage maintenance schedules for data warehousing and business intelligence platforms.
  • Evaluate emerging technologies and recommend solutions that improve reliability, scalability, performance, and cost effectiveness.
  • Support vendor evaluations, contract discussions, and third-party data service relationships.
  • Collaborate with leaders across the organization to identify opportunities to improve data accessibility, consistency, and operational efficiency.
  • Stay informed on trends affecting both enterprise data environments and the Property & Casualty insurance industry.
  Additional Role Highlights:
  • Technical leadership role with direct influence over enterprise data engineering and data architecture initiatives.
  • Opportunity to help shape the future direction of Hastings' enterprise data environment.
  • Strong partnership with IT engineering, architecture, business analytics, and operational leaders.
  • Visibility across all levels of the organization, including executive leadership.
  • Balance of strategic planning, technical leadership, and people leadership responsibilities.
  What You’ll Bring:
  • Bachelor's degree in Information Technology, Business, Economics, or a related field, or equivalent experience.
  • 10+ years of progressive experience supporting enterprise data solutions, data engineering initiatives, data warehousing environments, or business data flows.
  • Experience leading, mentoring, or developing technical teams.
  • Demonstrated expertise in ETL design, development, and implementation.
  • Strong understanding of data warehousing concepts, data integration, and enterprise data architecture principles.
  • Experience working with relational databases and enterprise data environments.
  • Working knowledge of project phases and general project management concepts.
  • Experience across multiple computing environments, including mainframe, client-server, and internet-based platforms.
  • Excellent written, verbal, and interpersonal communication skills.
  • Proficiency with Microsoft Office tools.
  • Ability to exercise sound judgment, maintain confidentiality, and operate effectively in complex, time-sensitive environments.
  Preferred Qualifications:
  • Experience within the Property & Casualty insurance industry.
  • Experience supporting enterprise data warehouse or business intelligence environments.
  • Familiarity with SQL Server, ETL tools, data modeling, and enterprise integration solutions.
  • Experience working with both legacy and modern data platforms.
  About Hastings Insurance:

For more than 135 years, Hastings Insurance has helped individuals, families, and businesses protect what matters most. As a trusted partner to independent agents and policyholders, we've earned a reputation for financial strength, exceptional service, and long-term stability, including an A (Excellent) financial strength rating from A.M. Best.

While we're proud of our history, we're equally focused on the future. We're investing in technology, strengthening partnerships with independent agents, and continuously evolving our products and services to meet the changing needs of our customers.

Just as importantly, we're investing in our people. Employees enjoy a collaborative, down-to-earth culture where initiative is valued, growth is encouraged, and good work is recognized. We offer competitive pay and benefits, including a 401(k) with company matching contributions, generous paid time off, tuition and professional development assistance, and company performance-based incentive compensation opportunities.

 Our Organizational Commitment:

At Hastings Insurance, we believe our people are our greatest strength. We foster a workplace where employees are treated with respect, supported in their growth, and empowered to contribute. We know that diverse perspectives lead to stronger collaboration, better decisions, and better outcomes for our customers and communities.

We are proud to be an equal opportunity employer. Employment decisions are based on business needs, job requirements, and individual qualifications, without regard to any legally protected characteristic.

If you require a reasonable accommodation during the application or interview process, please contact our Talent Acquisition team at 800-442-8277.

Apply