Data Engineer IV

Dexian; Charlotte (NC); Hybrid; USD 130,000 - 190,000; Full time

Benefits offered by this job

Hybrid work environment

Job summary

Dexian is seeking a Data Engineer IV to lead the development and management of large-scale data pipelines and data warehousing solutions in a hybrid work environment based in Charlotte, NC. The role emphasizes data quality, resiliency, and collaboration across analytics, architecture, and platform engineering teams.

You will mentor engineers, drive architectural decisions, and establish scalable automation to enhance analytics capabilities in a fast-paced enterprise.

Qualifications

• Lead hands-on data development with technical direction and oversight.
• Establish environments, standards, and security controls across cloud accounts.
• Architect and govern enterprise-scale data pipelines and ETL workflows.
• Identify data gaps and implement scalable automation solutions.
• Design reliable pipelines prioritizing data quality, observability, and resiliency.
• Build and optimize large-scale data warehouses for performance and user experience.
• Drive technical decisions and communicate complex concepts to stakeholders.
• Mentor engineers and lead high-performing data teams.
• Lead cross-functional initiatives across data, analytics, architecture, and platform engineering.
• Manage multiple priorities in a dynamic enterprise environment.

Responsibilities

• Lead hands-on data development efforts, providing technical direction and oversight.
• Establish development environments, infrastructure standards, security controls, and migration strategies across cloud environments.
• Architect, develop, and oversee enterprise-scale data pipelines, ETL processes, data ingestion frameworks, and orchestration workflows.
• Identify data gaps, define remediation plans, and implement automation to improve analytics.
• Design and implement highly reliable data pipelines with emphasis on quality and observability.
• Build and optimize data warehousing solutions to enhance user experience and performance.
• Drive technical decisions, influence architectural direction, and communicate with stakeholders.
• Mentor engineers, foster growth, and lead data engineering teams.
• Lead cross-functional initiatives involving data, analytics, architecture, and platform engineering.
• Manage competing priorities in a fast-paced enterprise.

Skills

Leadership

Data pipelines

Cloud environments

Security controls

Automation

Data quality

Observability

Mentoring

Cross-functional

Communication

AWS

Azure

Databricks

Generative AI

Python

SQL

Spark

RAG

Education

AWS Certifications

Tools

Databricks

AWS

Azure

Python

SQL

Spark

Job description

A technology-driven organization is seeking a Data Engineer IV to lead the development and management of large-scale data pipelines and data warehousing solutions. The role involves guiding technical efforts, establishing infrastructure and security standards, and implementing scalable automation to enhance analytical capabilities. The ideal candidate will have strong leadership skills in data engineering, a focus on data quality and resiliency, and experience working in a collaborative, hybrid environment.

Key Responsibilities

Position Summary

A technology-driven organization is seeking a Data Engineer IV to lead the development and management of large-scale data pipelines and data warehousing solutions. The role involves guiding technical efforts, establishing infrastructure and security standards, and implementing scalable automation to enhance analytical capabilities. The ideal candidate will have strong leadership skills in data engineering, a focus on data quality and resiliency, and experience working in a collaborative, hybrid environment.

Key Responsibilities

• Lead hands-on data development efforts, providing technical direction, code reviews, and engineering oversight for multiple initiatives.
• Establish development environments, infrastructure standards, security controls, and migration strategies across multiple cloud accounts and environments.
• Architect, develop, and oversee enterprise-scale data pipelines, ETL processes, data ingestion frameworks, and orchestration workflows.
• Identify data gaps, define strategic remediation plans, and implement automation solutions to improve organizational analytics.
• Design and implement highly reliable data pipelines with an emphasis on data quality, observability, resiliency, and operational support.
• Build and optimize large-scale data warehousing solutions that enhance both user experience and system performance.
• Drive technical decision-making, influence architectural direction, and communicate complex technical concepts to diverse stakeholders.
• Mentor engineers, foster technical growth, and build high-performing data engineering teams.
• Lead cross-functional initiatives involving data engineering, analytics, architecture, platform engineering, and business teams.
• Manage competing priorities effectively within a fast-paced enterprise environment.

Required Qualifications

• Ability to lead hands-on development while providing technical direction and oversight.
• Experience establishing development environments, infrastructure standards, security controls, and migration strategies across multiple cloud environments.
• Proficiency in architecting, developing, and governing enterprise-scale data pipelines and workflows.
• Proven ability to identify data gaps and implement scalable automation solutions.
• Skilled in designing reliable data pipelines emphasizing quality, observability, resiliency, and supportability.
• Experience with large-scale data warehousing solutions focusing on performance and user experience.
• Strong ability to communicate technical concepts to technical and non-technical audiences.
• Demonstrated mentoring experience and leadership in high-performance data engineering teams.
• Experience leading cross-functional initiatives involving data, analytics, architecture, and platform engineering.
• Ability to manage multiple priorities in a dynamic environment.
• Relevant certifications such as AWS Certified Data Engineer or AWS Solutions Architect are preferred.

Preferred Qualifications

• Hybrid work environment in Charlotte, NC.
• Experience with enterprise data governance and metadata management platforms.
• Knowledge of real-time analytics, event-driven architectures, and streaming data platforms.
• Familiarity with modern data architecture patterns including Data Mesh, Lakehouse, and domain-oriented design.
• Leadership experience in large-scale cloud transformation or data modernization programs.
• Experience creating AI applications using Generative AI platforms.
• Building AI-ready data pipelines and machine learning workflows, including feature engineering and MLOps.
• Proficiency in Python, SQL, Spark, and Generative AI technologies.
• Hands-on experience with cloud platforms including AWS, Azure, and Databricks.
• Knowledge of language models, Retrieval-Augmented Generation (RAG), vector databases, and AI-powered search.
• Strong understanding of responsible AI, data governance, data quality, security, and AI compliance practices.

Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support.

Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit https://dexian.com/.

Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.