Data Engineer

Mitchell Martin Inc.

Charlotte (IL)

On-site

USD 44,000 - 58,000

Full time

43 hours ago

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Job summary

Mitchell Martin Inc. is seeking a Data Engineer for a full-time, onsite role in Charlotte, NC. The position focuses on building and maintaining a hybrid data platform, integrating on-premises systems with cloud solutions, and ensuring reliable data operations.

The ideal candidate has hands-on experience with cloud platforms, on-premises big data clusters, and metadata catalogs, plus strong knowledge of data governance and security.

Qualifications

At least 5 years of experience in data platform engineering.
Hands-on experience with cloud platforms.
Experience with on-premises big data clusters.
Experience with metadata catalog integration.
Proficiency in service account management and access control in hybrid environments.

Responsibilities

Configure and manage the on-premises data cluster environment, including account creation and permission structures.
Design and implement table structures optimized for hybrid workloads.
Integrate metadata catalog solutions to unify on-prem and cloud environments.
Establish and validate cloud environments as production tenants on existing clusters.
Define and enforce data access governance and security policies across environments.

Skills

Cloud platforms

Big data clusters

Metadata catalogs

Service account management

Access control

Tools

Cloud Platforms

Big Data Clusters

Metadata Catalogs

Service Account Management

Access Control

Job description

Data Engineer - Charlotte, NC - Full Time - $32-42 per HR

We are seeking a skilled professional to join our team as a Data Engineer. This full-time, onsite position is based in Charlotte, NC. The role involves developing and managing a hybrid data platform, integrating on-premises systems with cloud solutions, and ensuring seamless data operations. The ideal candidate will have experience with cloud platforms and data management technologies.

Key Responsibilities

Configure and manage the on-premises data cluster environment, including account creation and permission structures.
Design and implement table structures optimized for hybrid workloads.
Integrate metadata catalog solutions to unify on-prem and cloud environments.
Establish and validate cloud environments as production tenants on existing clusters.
Define and enforce data access governance and security policies across environments.

Qualifications

5 years of experience in data platform engineering.
Hands-on experience with cloud platforms.
Experience with on-premises big data clusters.
Experience with metadata catalog integration.
Proficiency in service account management and access control in hybrid environments.

Core Technologies