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About Us
Clayco is a full-service, turnkey real estate development, master planning, architecture, engineering, and construction firm that safely delivers clients across North America the highest quality solutions on time, on budget, and above and beyond expectations. With $5.8 billion in revenue for 2023, Clayco specializes in the "art and science of building," providing fast track, efficient solutions for industrial, commercial, institutional, and residential related building projects.
The Role We Want You For
We are seeking a highly skilled and motivated Data Engineer to join our dynamic Data Analytics team in Overland, MO. As a Data Engineer at Clayco, you will play a vital role in designing, building, and maintaining data pipelines and complex data sets to support reporting, advanced analytics, and ad-hoc analysis. We are looking for a candidate with deep technical knowledge, a strong background in testing code, platform support, and data performance management. This position requires excellent communication skills to effectively collaborate with technical teams and translate business requirements into scalable data solutions.
The Specifics of the Role
Requirements
Some Things You Should Know
Why Clayco?
Compensation and Benefits
Full Time
Specialty Trade in Construction
$77k-99k (estimate)
09/12/2024
10/09/2024
claycorp.com
OREM, UT
1,000 - 3,000
1984
Private
CLAY CARTER
$500M - $1B
Specialty Trade in Construction
Clayco is a construction firm that provides architecture and interior design services for residential and commercial sectors.
The job skills required for Data Engineer include SQL, Python, Azure, Java, Data Quality, Data Analytics, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer. Select any job title you are interested in and start to search job requirements.
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The data engineer develops and maintains the enterprise data framework for continued use.
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A data engineer prepares data for analytical or operational uses.
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Data engineers simplify complex data structure and prevent the reduplication of data.
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