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Data Engineering Lead

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Contract

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senior Data Engineering

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Data Engineer IV

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Easy Apply

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Technical Delivery Manager

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Charlotte, North Carolina • 6d ago

Easy Apply

Contract

Depends on Experience

Eliassen Group

Job Details

Skills

FOCUS
Life Insurance
Technical Direction
Migration
Workflow
Analytical Skill
User Experience
Decision-making
Security Controls
Extract
Transform
Load
Orchestration
Analytics
Data Warehouse
Performance Tuning
Mentorship
Team Building
Data Engineering
Leadership
Data Governance
Meta-data Management
Real-time
Streaming
Cloud Computing
Application Development
Machine Learning Operations (ML Ops)
Python
SQL
Apache Spark
Generative Artificial Intelligence (AI)
Amazon Web Services
Microsoft Azure
Databricks
Vector Databases
Data Quality
Regulatory Compliance
Screening
Artificial Intelligence
Recruiting
Taxes
Insurance
Law
Communication
Gmail
Routing
Management Consulting
Life Sciences
SAP BASIS
Military

FOCUS
Life Insurance
Technical Direction
Migration
Workflow
Analytical Skill
User Experience
Decision-making
Security Controls
Extract
Transform
Load
Orchestration
Analytics
Data Warehouse
Performance Tuning
Mentorship
Team Building
Data Engineering
Leadership
Data Governance
Meta-data Management
Real-time
Streaming
Cloud Computing
Application Development
Machine Learning Operations (ML Ops)
Python
SQL
Apache Spark
Generative Artificial Intelligence (AI)
Amazon Web Services
Microsoft Azure
Databricks
Vector Databases
Data Quality
Regulatory Compliance
Screening
Artificial Intelligence
Recruiting
Taxes
Insurance
Law
Communication
Gmail
Routing
Management Consulting
Life Sciences
SAP BASIS
Military

Summary

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.
If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:

When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.

Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.

If you have any indication of fraudulent activity, please contact .

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.

Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: cxelisen
Position Id: a1WUQ000001xRWf2AM
Posted 8 hours ago

Company Info

About Eliassen Group

Eliassen Group is a leading strategic consulting company that provides business and IT services for our clients as they seek to transform and execute strategies that will drive exceptional outcomes. Leveraging over 30 years of success, we focus on professional services, talent solutions, and life sciences. Eliassen Group offers local community presence and deep networks. We are committed to positively impacting the lives of our employees, clients, consultants, and the communities in which we operate.

Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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Eliassen Group

Job Details

Skills

FOCUS
Life Insurance
Technical Direction
Migration
Workflow
Analytical Skill
User Experience
Decision-making
Security Controls
Extract
Transform
Load
Orchestration
Analytics
Data Warehouse
Performance Tuning
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Generative Artificial Intelligence (AI)
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Microsoft Azure
Databricks
Vector Databases
Data Quality
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Screening
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Recruiting
Taxes
Insurance
Law
Communication
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Military

FOCUS
Life Insurance
Technical Direction
Migration
Workflow
Analytical Skill
User Experience
Decision-making
Security Controls
Extract
Transform
Load
Orchestration
Analytics
Data Warehouse
Performance Tuning
Mentorship
Team Building
Data Engineering
Leadership
Data Governance
Meta-data Management
Real-time
Streaming
Cloud Computing
Application Development
Machine Learning Operations (ML Ops)
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SQL
Apache Spark
Generative Artificial Intelligence (AI)
Amazon Web Services
Microsoft Azure
Databricks
Vector Databases
Data Quality
Regulatory Compliance
Screening
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Summary

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.

Dice Id: cxelisen
Position Id: a1WUQ000001xRWf2AM
Posted 8 hours ago

Company Info

About Eliassen Group

Fitment

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Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

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