Data Engineer (dbt, Snowflake)

Mitchell Martin Inc.; Charlotte (NC); On-site; USD 110,000 - 125,000; Full time

Job summary

Mitchell Martin Inc. is seeking a Data Engineer to join a dynamic environment in Charlotte, NC. The role focuses on building data pipelines using dbt and Snowflake, with emphasis on data transformation and ingestion.

You will design and implement scalable data solutions, collaborate on data environments, and contribute to monitoring workflows to ensure reliable data processing across large-scale systems.

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.

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.

Skills

Data engineering

Data pipelines

ETL

Cloud architectures

Tools

SQL

Data Integration Tools

Data Warehousing

Data Modeling

Job description

Description

A client is seeking a Data Engineer to work in a dynamic environment using generic data technologies.

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 https://www.mitchellmartin.com/careers/benefits-perks

Onboarding Expectations

Learn more about our Onboarding Process here https://youtu.be/rjV_NFYjyY4

EEO Statement

Learn more about our EEO policy here https://www.mitchellmartin.com/eoe-statement