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Lead Data Engineer

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Lead Google Cloud Platform Data Engineer/Analyst (Retail & CDP Focus).

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Lead Data Engineer

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Lead AI Data Engineer - Healthcare Payer Systems, Claims & Payment Integrity

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Remote • 10d ago

Easy Apply

Contract

Depends on Experience

Eliassen Group

Job Details

Skills

Life Insurance
Design Architecture
IT Strategy
IT Management
Mentorship
Scalability
Data Lake
Data Warehouse
Extract
Transform
Load
Management
Production Support
Root Cause Analysis
Data Engineering
Amazon S3
Amazon SQS
Amazon Redshift
Streaming
Apache Kafka
SQL
Data Modeling
PySpark
Electronic Health Record (EHR)
Python
Terraform
Continuous Integration
Continuous Delivery
GitHub
Amazon Web Services
Workflow
Orchestration
Step-Functions
Leadership
Cloud Computing
Migration
Data Governance
Meta-data Management
Data Quality
Generative Artificial Intelligence (AI)
Vector Databases
Machine Learning Operations (ML Ops)
Microsoft Azure
Databricks
Screening
Artificial Intelligence
Recruiting
Taxes
Insurance
Law
Communication
Gmail
Routing
Management Consulting
Life Sciences
SAP BASIS
Military

Life Insurance
Design Architecture
IT Strategy
IT Management
Mentorship
Scalability
Data Lake
Data Warehouse
Extract
Transform
Load
Management
Production Support
Root Cause Analysis
Data Engineering
Amazon S3
Amazon SQS
Amazon Redshift
Streaming
Apache Kafka
SQL
Data Modeling
PySpark
Electronic Health Record (EHR)
Python
Terraform
Continuous Integration
Continuous Delivery
GitHub
Amazon Web Services
Workflow
Orchestration
Step-Functions
Leadership
Cloud Computing
Migration
Data Governance
Meta-data Management
Data Quality
Generative Artificial Intelligence (AI)
Vector Databases
Machine Learning Operations (ML Ops)
Microsoft Azure
Databricks
Screening
Artificial Intelligence
Recruiting
Taxes
Insurance
Law
Communication
Gmail
Routing
Management Consulting
Life Sciences
SAP BASIS
Military

Summary

Description:
Hybrid 3 on in Charlotte, NC

Our client seeks a Lead Data Engineer to own architecture and delivery of scalable data platforms on AWS. The role will lead design of data lakes and warehouses, govern IAM and security, and implement resilient pipelines using Python, PySpark, and SQL. The leader will mentor engineers, drive standards for quality and observability, and partner with architects and stakeholders to align solutions with enterprise objectives. Experience with Kafka streaming, Terraform, CI/CD, and orchestration is required. Knowledge of Bedrock, LLMs, RAG, vector databases, and MLOps will support AI-ready pipelines and responsible AI practices.

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: $85.00 to $95.00/hr. w2

JN -44

Responsibilities:

Lead design, architecture, and implementation of enterprise data solutions across AWS.
Partner with developers, data scientists, architects, product owners, and stakeholders to define technical strategy and scalable solutions.
Provide technical leadership and mentorship to data engineers and promote engineering best practices.
Drive architectural decisions to ensure scalability, security, reliability, and maintainability.
Design and oversee data lake and data warehouse solutions using Lake Formation, Redshift, and Athena.
Establish standards for data modeling, ETL frameworks, pipeline reliability, monitoring, and operations.
Lead end-to-end delivery aligned to business requirements, enterprise standards, and regulatory needs.
Oversee production support of AWS data platforms, perform root-cause analysis, and optimize performance.
Champion data quality, governance, observability, and stewardship across platforms and teams.
Identify modernization opportunities using automation and cloud-native technologies.

Experience Requirements:

8+ years in data engineering with 5+ years on AWS.
Expertise with S3, EMR, Glue, Lambda, Athena, CloudTrail, SNS, SQS, CloudWatch, and Step Functions.
Experience creating AI applications with AWS Bedrock.
Strong background in data lakes and warehouses with Lake Formation, Redshift, and Athena.
Extensive experience with Kafka streaming, preferably Confluent Kafka.
Advanced SQL and data modeling including dimensional and data vault.
Deep experience building scalable and resilient pipelines in AWS.
Hands-on PySpark on EMR and advanced Python development.
Expertise with Terraform for Infrastructure as Code.
CI/CD with GitHub and GitHub Actions.
Deep knowledge of AWS IAM roles, policies, governance, and security best practices.
Workflow orchestration with Step Functions, Airflow, or similar.
Leadership in cloud migration, modernization, and enterprise data platforms.
Strong understanding of data governance, metadata, data quality, and observability.
Proficiency with Generative AI concepts, LLMs, RAG, vector databases, and MLOps.
Experience with Azure or Databricks is a plus.

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: a1WUQ000001tVyf2AE
Posted 2 days 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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Job Details

Skills

Life Insurance
Design Architecture
IT Strategy
IT Management
Mentorship
Scalability
Data Lake
Data Warehouse
Extract
Transform
Load
Management
Production Support
Root Cause Analysis
Data Engineering
Amazon S3
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Life Insurance
Design Architecture
IT Strategy
IT Management
Mentorship
Scalability
Data Lake
Data Warehouse
Extract
Transform
Load
Management
Production Support
Root Cause Analysis
Data Engineering
Amazon S3
Amazon SQS
Amazon Redshift
Streaming
Apache Kafka
SQL
Data Modeling
PySpark
Electronic Health Record (EHR)
Python
Terraform
Continuous Integration
Continuous Delivery
GitHub
Amazon Web Services
Workflow
Orchestration
Step-Functions
Leadership
Cloud Computing
Migration
Data Governance
Meta-data Management
Data Quality
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Vector Databases
Machine Learning Operations (ML Ops)
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Databricks
Screening
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Taxes
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Communication
Gmail
Routing
Management Consulting
Life Sciences
SAP BASIS
Military

Summary

Lead design, architecture, and implementation of enterprise data solutions across AWS.
Partner with developers, data scientists, architects, product owners, and stakeholders to define technical strategy and scalable solutions.
Provide technical leadership and mentorship to data engineers and promote engineering best practices.
Drive architectural decisions to ensure scalability, security, reliability, and maintainability.
Design and oversee data lake and data warehouse solutions using Lake Formation, Redshift, and Athena.
Establish standards for data modeling, ETL frameworks, pipeline reliability, monitoring, and operations.
Lead end-to-end delivery aligned to business requirements, enterprise standards, and regulatory needs.
Oversee production support of AWS data platforms, perform root-cause analysis, and optimize performance.
Champion data quality, governance, observability, and stewardship across platforms and teams.
Identify modernization opportunities using automation and cloud-native technologies.

Experience Requirements:

8+ years in data engineering with 5+ years on AWS.
Expertise with S3, EMR, Glue, Lambda, Athena, CloudTrail, SNS, SQS, CloudWatch, and Step Functions.
Experience creating AI applications with AWS Bedrock.
Strong background in data lakes and warehouses with Lake Formation, Redshift, and Athena.
Extensive experience with Kafka streaming, preferably Confluent Kafka.
Advanced SQL and data modeling including dimensional and data vault.
Deep experience building scalable and resilient pipelines in AWS.
Hands-on PySpark on EMR and advanced Python development.
Expertise with Terraform for Infrastructure as Code.
CI/CD with GitHub and GitHub Actions.
Deep knowledge of AWS IAM roles, policies, governance, and security best practices.
Workflow orchestration with Step Functions, Airflow, or similar.
Leadership in cloud migration, modernization, and enterprise data platforms.
Strong understanding of data governance, metadata, data quality, and observability.
Proficiency with Generative AI concepts, LLMs, RAG, vector databases, and MLOps.
Experience with Azure or Databricks is a plus.

Dice Id: cxelisen
Position Id: a1WUQ000001tVyf2AE
Posted 2 days ago

Company Info

About Eliassen Group

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Create job alert

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