Data Engineering Lead

Description:
Hybrid 3 days on-site in Charlotte, NC

Our client seeks a senior data engineering leader who will drive hands-on development while setting technical direction across multiple initiatives. The role requires expertise in architecting, building, and governing enterprise-scale data pipelines and platforms across cloud environments, with a focus on reliability, quality, observability, and performance. The leader will mentor engineers, influence architectural decisions, and partner with cross-functional stakeholders to advance analytics, governance, and AI-enablement.

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $80.00 to $90.00/hr. w2

JN -16

Responsibilities:

• Lead hands-on development and provide technical direction, code reviews, and engineering oversight across multiple initiatives.
• Establish development environments, infrastructure standards, security controls, and migration strategies across multiple AWS accounts and environments.
• Architect, develop, and govern enterprise-scale data pipelines, ETL processes, ingestion frameworks, and orchestration workflows.
• Identify data gaps, define remediation plans, and implement scalable automation to improve analytical capabilities.
• Design and implement reliable data pipelines emphasizing data quality, observability, resiliency, and operational supportability.
• Build and optimize large-scale data warehousing solutions that balance user experience and system performance.
• Drive technical decision-making and communicate complex concepts to technical and non-technical stakeholders.
• Mentor engineers and foster a high-performing data engineering culture.
• Lead cross-functional initiatives with data engineering, analytics, architecture, platform engineering, and business stakeholders.

Experience Requirements:

• Proven leadership of hands-on development with oversight across multiple initiatives.
• Deep experience with AWS environments, infrastructure standards, security controls, and multi-account strategies.
• Track record architecting and governing enterprise data pipelines, ETL, and orchestration.
• History of remediating data gaps and deploying scalable automation for analytics.
• Experience delivering high-reliability pipelines with strong data quality and observability.
• Background in large-scale data warehousing and performance optimization.
• Experience influencing architectural direction and communicating with diverse stakeholders.
• Mentorship and team-building for data engineering teams.
• Cross-functional leadership across engineering and business functions.
• Preferred: AWS cloud certifications, data governance and metadata platforms, real-time and event-driven architectures, streaming platforms, data mesh and lakehouse patterns, cloud transformation programs, AI application development with AWS Bedrock or similar, AI-ready pipelines and MLOps, proficiency in Python, SQL, Spark, Generative AI, hands-on with AWS, Azure, Databricks, knowledge of LLMs, RAG, vector databases, AI search, and responsible AI, governance, data quality, security, and compliance.

Recruitment Transparency Notice

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team ( , ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process.

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
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About Eliassen Group:

Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.

Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.

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