Data Engineer

Mitchell Martin
Charlotte, NC, United States
23 days ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$66,560.0 - $87,360.0
Working hours
Regular working hours
Job source

Tech stack

Big Data Cloud Computing Data Infrastructure Data Security Metadata Cloud Services DataOps Systems Integration Cloud Platform System Data Management

Job description

  • 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.

Requirements

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., * 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., Cloud Platforms Big Data Clusters Metadata Catalogs Service Account Management Access Control

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:08 min

Creating standard APIs via the Egeria open metadata project

Ferd Scheepers · World Congress 2022

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

2:00 min

Separating dataset creation from low-level software implementation steps

Jan Zawadzki · World Congress 2022

1:19 min

The true role and evolution of data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

1:47 min

Comparing Egeria to alternative open metadata solutions

Ferd Scheepers · World Congress 2022

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

Videos

See all

Related articles

See all