Data Engineer

Insight Global; Dearborn (MI); On-site; USD 128,943,000 - 146,136,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

HSA

FSA

DCFSA account options

401k with employer matching

Paid sick leave / PTO

Job summary

Insight Global in Dearborn, MI is seeking a Data Engineer to support a large-scale modernization initiative. You will join a team building automated, scalable data pipelines in Google Cloud Platform, handling data ingestion, workflow automation, and third-party data integration.

The role emphasizes hands-on engineering and operational automation over heavy data modeling, with opportunities to reduce manual processes across markets and improve data workflows.

Qualifications

• 3–5+ years of data engineering experience.
• Strong experience with Google Cloud Platform (GCP) data pipelines.
• Experience automating business processes and manual workflows.
• Hands-on data ingestion, data integration, and data validation.
• Experience integrating third-party data sources and APIs.
• Strong scripting and automation experience (Python preferred).
• Experience building scalable data solutions in cloud environments.
• Ability to work independently in a fast-paced project environment.
• Experience automating Excel-based reporting or operational processes.
• Experience supporting large enterprise modernization initiatives.
• Financial services or automotive industry experience.
• Exposure to workflow optimization and operational efficiency projects.
• Experience documenting technical processes and procedures.

Skills

GCP

Data Pipelines

Python

Data Integration

Automation

Data Validation

Scripting

Workflow Optimization

Independent Work

Excel

Tools

APIs

Excel

Job description

Job Description

Our client is seeking a Data Engineer to support a large-scale modernization initiative for. This individual will join a team focused on transforming manual business processes into automated, scalable data solutions. The project is in its early stages and will involve data ingestion, process automation, workflow optimization, and integrating third-party data sources into GCP-based data pipelines.

The ideal candidate is a hands‑on engineer who enjoys solving operational challenges through automation rather than focusing heavily on data modeling. This person will play a key role in building scalable pipelines, improving data workflows, validating incoming data, and developing solutions that eliminate manual processes across multiple markets. Compensation:

$45/hr to $51/hr

Exact compensation may vary based on several factors, including skills, experience, and education.

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [e-mail] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

• 3–5+ years of Data Engineering experience
• Strong experience developing and maintaining data pipelines in Google Cloud Platform (GCP)
• Experience automating business processes and manual workflows
• Hands-on experience with data ingestion, data integration, and data validation
• Experience integrating third-party data sources and APIs
• Strong scripting and automation experience (Python preferred)
• Experience building scalable data solutions in cloud environments
• Ability to work independently in a fast-paced project environment
• Experience automating Excel-based reporting or operational processes
• Experience supporting large enterprise modernization initiatives
• Financial services or automotive industry experience
• Exposure to workflow optimization and operational efficiency projects
• Experience documenting technical processes and procedures