Quick Overview
Salary
$110k - $125k/yr
Seniority
Mid Senior
Work mode
Hybrid
Location
Charlotte, NC, United States
Posted
18 hours ago
SQLSnowflakeData Pipelinedbt
Job Description
Title: Data Engineer (dbt, Snowflake)
Location: Charlotte NC
Position Type: Full Time
Compensation
Pay Range:$110,000 -$125,000 Per Year
Description
A client is seeking a Data Engineer to work in a dynamic environment using generic data technologies.
This full-time role is based in the Charlotte, NC area and involves establishing data procedures, contributing to the design and development of data environments, and providing data ingestion development as needed.
Key Responsibilities
Provide technical expertise in data transformation technologies.
Design, build, and manage data transformations and pipelines.
Analyze source data and identify transformation requirements.
Design robust, scalable systems for large volume data processing.
Develop and enhance monitoring of workflows and processes.
Qualifications
Minimum 2 years of experience developing and scaling data projects.
Minimum 3-5 years of experience as a data engineer with data integration tools.
Proven experience in designing and implementing data transformations in large-scale environments.
Experience with data pipeline tools.
Proven experience in designing and managing security requirements.
Core Technologies
SQL | Data Integration Tools | Data Warehousing | Data Modeling | Cloud Architectures
Benefits
Learn more about our benefits offerings here
Onboarding Expectations
Learn more about our Onboarding Process here
EEO Statement
Learn more about our EEO policy here
#LI-KE2
Location: Charlotte NC
Position Type: Full Time
Compensation
Pay Range:$110,000 -$125,000 Per Year
Description
A client is seeking a Data Engineer to work in a dynamic environment using generic data technologies.
This full-time role is based in the Charlotte, NC area and involves establishing data procedures, contributing to the design and development of data environments, and providing data ingestion development as needed.
Key Responsibilities
Provide technical expertise in data transformation technologies.
Design, build, and manage data transformations and pipelines.
Analyze source data and identify transformation requirements.
Design robust, scalable systems for large volume data processing.
Develop and enhance monitoring of workflows and processes.
Qualifications
Minimum 2 years of experience developing and scaling data projects.
Minimum 3-5 years of experience as a data engineer with data integration tools.
Proven experience in designing and implementing data transformations in large-scale environments.
Experience with data pipeline tools.
Proven experience in designing and managing security requirements.
Core Technologies
SQL | Data Integration Tools | Data Warehousing | Data Modeling | Cloud Architectures
Benefits
Learn more about our benefits offerings here
Onboarding Expectations
Learn more about our Onboarding Process here
EEO Statement
Learn more about our EEO policy here
#LI-KE2
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