Data Engineer I
- Whitehall, MI, United States
$35 USD / hour
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Job details
- Pay
- $35 USD / hour
- Experience
- Bachelor's degree plus 3 years of relevant experience, or High School diploma/GED plus 6 years of relevant experience
- Posting language
- English
- Posted
Original job description
Kforce has a client that is seeking a Data Engineer I in Whitehall, MI.
Summary:
We are seeking a Data Engineer to support a large manufacturing organization with the design and development of modern data platforms, pipelines, and analytics solutions. This is a contract to hire opportunity with potential conversion after approximately six months.
Work Environment:
- Onsite in Western Michigan
- Monday through Friday
- No overtime required
- ITAR compliance required
- Interview required
Key Responsibilities:
- Design, develop, and support scalable Data Lake, Lakehouse, Data Warehouse, and AI enabled data platforms across cloud and hybrid environments
- Build and optimize ETL and ELT pipelines using Microsoft Fabric, Azure Synapse, Azure Data Factory, or similar technologies
- Develop scalable data models and integration patterns supporting enterprise analytics and AI initiatives
- Build and maintain data pipelines connecting plant, business unit, and enterprise applications
- Implement data validation, monitoring, quality controls, and governance best practices
- Develop reusable datasets, semantic models, and data products supporting self service analytics
- Optimize SQL queries, data processing, Power BI performance, refresh processes, and security
- Partner with data scientists, analysts, IT teams, and business stakeholders to develop reporting and analytics solutions
- Evaluate emerging data and AI technologies that improve operational efficiency
- Bachelor's degree plus 3 years of relevant experience, or High School diploma/GED plus 6 years of relevant experience
- Python development experience
- Microsoft Fabric, Azure Synapse, Azure Data Factory, or comparable ETL and ELT experience
- Strong SQL and data pipeline development experience
- Experience with Azure DevOps and pipeline deployment
- Understanding of Data Lakes, Lakehouses, and Data Warehouses
- Strong communication skills with the ability to explain technical concepts to nontechnical stakeholders
- Ability to work independently and within collaborative technical teams
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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