
Data Engineer
Dearborn, MIJob$45–51/hrSeen 1 day agoSeen in employer's feed 1 day ago
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Job overview
The Data Engineer will join a team modernizing large-scale processes, building automated, scalable GCP data pipelines, validating incoming data, and eliminating manual workflows across multiple markets.
Skills & qualifications
Skills
Qualifications
Benefits
Full 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.
Skills and Requirements
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3–5+ years of Data Engineering experience
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Strong experience developing and maintaining data pipelines in Google Cloud Platform (GCP)
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Experience automating business processes and manual workflows
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Hands-on experience with data ingestion, data integration, and data validation
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Experience integrating third-party data sources and APIs
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Strong scripting and automation experience (Python preferred)
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Experience building scalable data solutions in cloud environments Ability to work independently in a fast-paced project environment
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Experience automating Excel-based reporting or operational processes
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Experience supporting large enterprise modernization initiatives
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Financial services or automotive industry experience
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Exposure to workflow optimization and operational efficiency projects Experience documenting technical processes and procedures
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 employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to 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 the recruiting process, please send a request to [email protected].
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