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Lead Data Engineer

Strategic Staffing Solutions

Charlotte, North Carolina • Today

Easy Apply

Full-time, Contract

USD90 - USD100

Lead Data Engineer

Kforce Technology Staffing

Madison, Wisconsin • Today

Third Party, Contract

$70 - $80 hourly

Lead Data Engineer

Vaco by Highspring

Remote • 9d ago

Easy Apply

Full-time

Depends on Experience

Lead Data Engineer Data & AI, Supply Chain

InfoVision, Inc.

Pleasanton, California • 28d ago

Easy Apply

Contract

60 - 65

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

UnivEdge Consulting LLC

Remote • 11d ago

Easy Apply

Contract

Depends on Experience

Lead Data Engineer

Lennar Corp

Remote or Miami, Florida • Today

Full-time

Lead Data Engineer

Flagship Pioneering, Inc.

Cambridge, Massachusetts • Today

Full-time

USD 128,000.00 - 176,000.00 per year

Lead Data Engineer

Eliassen Group

Charlotte, North Carolina • Today

Contract

Lead Data Engineer

MFS Investment Management

Boston, Massachusetts • Today

Full-time

USD 110,000.00 per year

Lead Data Engineer

Kforce Technology Staffing

Fort Lauderdale, Florida • Today

Contract, Third Party

$100 - $120 hourly

Lead Data Engineer

Jobot

Mexico City, Mexico City • Today

Full-time

USD 100,000.00 - 145,000.00 per year

Lead, Data Engineer

MCKESSON

Mississauga, Ontario • Today

Full-time

Compensation information provided in the description

Lead Data Engineer

athenahealth, Inc.

Remote or Massachusetts • Today

Full-time

Lead, Data Engineer

Royal Caribbean Cruises Ltd

Miramar, Florida • Today

Full-time

Lead Data Engineer

Inspire Brands

Sandy Springs, Georgia • Today

Full-time

Lead Data Engineer

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 147,250.00 - 190,000.00 per year

Lead Data Engineer

Raymond James Financial Inc

St. Petersburg, Florida • Today

Full-time

Lead Data Engineer

Two Six Technologies

Arlington, Virginia • Today

Full-time

USD 132,000.00 - 198,000.00 per year

Lead Data Engineer

Adobe Systems

San Jose, California • Today

Full-time

USD 139,000.00 per year

Lead Data Engineer

Thomas Jefferson University Hospitals, Inc.

Montgomery, Pennsylvania • Today

Full-time

Lead Data Engineer - Vice President

Citi

Jersey City, New Jersey • Today

Full-time

USD 142,320.00 - 213,480.00 per year

Lead Data Engineer

Kaven Global Tech LLC

Remote • 5d ago

Easy Apply

Contract

$40 - $50

Lead Data Engineer

Infinite Computer Solutions (ICS)

Remote • 5d ago

Easy Apply

Full-time

Up to $120,000

Software Engineering Lead Data Engineer

MFS Investment Management

Boston, Massachusetts • Today

Full-time

USD 110,000.00 per year

Lead Data Engineer

MGM Resorts International

Las Vegas, Nevada • Today

Full-time

USD 121,700.00 - 162,200.00 per year

Lead Data Engineer

SimplePractice

No location provided • Today

Full-time

USD 160,000.00 - 222,000.00 per year

Lead Data Engineer

The Doyle Group

Hybrid in Shelton, Connecticut • 28d ago

Easy Apply

Full-time

150000 - 175000

Sr. Data Engineer - AI

Dairy Farmers of America

Kansas City, Kansas • Today

Full-time

Senior Data Engineer, AI Platform

Zip Co Limited

No location provided • Today

Full-time

USD 134,000.00 - 168,000.00 per year

Tech Lead Data Engineer & GenAI Applications

VISION INFOTECH INC.

Remote • 5d ago

Easy Apply

Contract, Third Party

Depends on Experience

Strategic Staffing Solutions

Job Details

Skills

Lead Data Engineer

Summary

Job Title: Lead Data Engineer

Location: Charlotte, NC

Duration: 12 months

Pay Rate: $90 - $100/HR (W2 Only)

Job/Role Description:

Lead the design, architecture, and implementation of enterprise-scale data engineering solutions across AWS cloud environments.
Design, develop, and optimize scalable, resilient data pipelines, ETL processes, data ingestion frameworks, and orchestration workflows.
Architect and oversee enterprise data lake and data warehouse solutions using AWS Lake Formation, Amazon Redshift, Amazon Athena, S3, and related AWS technologies.
Collaborate with Lead Developers, Data Scientists, Architects, Product Owners, and business stakeholders to define technical strategy and scalable data solutions.
Provide hands-on technical leadership, engineering oversight, code reviews, and mentorship to Data Engineers and development teams.
Drive architectural decisions in partnership with Data and Solution Architects to ensure scalability, security, reliability, performance, and maintainability.
Design and support Kafka-based streaming and event-driven data architectures, preferably using Confluent Kafka.
Develop distributed data processing solutions using Python, PySpark, AWS EMR, and other cloud-native technologies.
Establish engineering standards and best practices for data modeling, ETL frameworks, pipeline reliability, monitoring, observability, and operational excellence.
Lead end-to-end solution delivery while ensuring alignment with business requirements, enterprise architecture standards, security controls, and regulatory requirements.
Design and implement Infrastructure as Code solutions using Terraform across multiple AWS accounts and environments.
Develop and maintain CI/CD frameworks using GitHub and GitHub Actions.
Oversee production support and operational management of AWS-based data platforms, including root-cause analysis, troubleshooting, and performance optimization.
Champion data governance, metadata management, data quality, observability, and data stewardship practices across platforms and teams.
Identify opportunities to modernize data architecture and improve operational efficiency through automation and cloud-native technologies.
Support the development of AI-ready data pipelines and machine learning workflows, including feature engineering and MLOps.
Design data solutions capable of supporting Generative AI applications, intelligent search, RAG architectures, LLMs, and vector databases.
Drive technical decision-making and clearly communicate complex data architecture concepts to both technical and non-technical stakeholders.

Required Qualifications

8+ years of Data Engineering experience, including at least 5+ years of extensive experience working within AWS environments.
Expert-level experience with AWS services including S3, EMR, Glue Jobs, Lambda, Athena, CloudTrail, SNS, SQS, CloudWatch, and Step Functions.
Strong hands-on experience designing and implementing enterprise-scale data lakes and data warehouses using AWS Lake Formation, Amazon Redshift, and Amazon Athena.
Advanced Python development experience with extensive hands-on use of PySpark.
Advanced SQL expertise, including query optimization, large-scale data processing, and enterprise data warehousing.
Strong data modeling experience, including dimensional modeling, Data Vault, and other enterprise data modeling techniques.
Deep experience designing, developing, and optimizing scalable and resilient data pipelines within AWS environments.
Strong experience with distributed data processing frameworks, particularly PySpark and AWS EMR.
Extensive knowledge of database management, performance tuning, and data architecture best practices.
Experience with Kafka-based streaming architectures, preferably Confluent Kafka.
Expertise with Infrastructure as Code using Terraform.
Experience designing and implementing CI/CD frameworks using GitHub and GitHub Actions.
Deep knowledge of AWS IAM roles, policies, governance, security controls, and cloud security best practices.
Strong experience with workflow orchestration platforms such as AWS Step Functions, Apache Airflow, or equivalent technologies.
Experience leading cloud migration, modernization, or enterprise data platform initiatives.
Strong understanding of data governance, metadata management, data quality frameworks, observability, resiliency, and operational supportability.
Experience creating AI applications using AWS Bedrock.
Experience building AI-ready data pipelines and ML workflows, including feature engineering and MLOps.
Knowledge of Generative AI technologies, LLMs, Retrieval-Augmented Generation (RAG), and vector databases.
Experience working with cloud-based AI and data platforms such as AWS, Azure, or Databricks.
Ability to lead hands-on development efforts while providing technical direction, engineering oversight, and code reviews across multiple initiatives.
Experience establishing cloud development environments, infrastructure standards, security controls, and migration strategies across multiple accounts and environments.
Proven ability to identify data gaps, develop strategic remediation plans, and implement scalable automation solutions.
Experience designing highly reliable data pipelines with a strong emphasis on data quality, observability, resiliency, and operational support

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: sssmi
Position Id: JOB-248026
Posted 2 hours ago

Company Info

About Strategic Staffing Solutions

Strategic Staffing Solutions (S³) is a woman-owned, global IT consulting and business services corporation that delivers staff augmentation, managed services, total workforce management programs and direct hire recruiting with industry expertise in financial services, energy and utilities, oil, healthcare and insurance, telecommunications and retail distribution. S³’s Consultants are placed with Customers through the U.S., Europe and the Americas. Founded in Detroit, MI in 1990, S³ has reported consistent growth and profit every year and carries zero debt.

S3 Diversity Statistics
S3 has a 50/50 split among male/female employees; 60% of S3 employees identify as non-white; S3 s leadership team are 50% women; S3 currently employs 73% military veterans, military spouses and military affiliates.

Staffing Industry Analysts CCWP Charter Partner
S3 is the only charter partner for Staffing Industry Analysts Certified Contingent Workforce Professional (CCWP) program- a one-of-a-kind accreditation program designed for all professionals managing corporate contingent staffing.

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Strategic Staffing Solutions

Job Details

Skills

Lead Data Engineer

Summary

Job Title: Lead Data Engineer

Location: Charlotte, NC

Duration: 12 months

Pay Rate: $90 - $100/HR (W2 Only)

Job/Role Description:

Lead the design, architecture, and implementation of enterprise-scale data engineering solutions across AWS cloud environments.
Design, develop, and optimize scalable, resilient data pipelines, ETL processes, data ingestion frameworks, and orchestration workflows.
Architect and oversee enterprise data lake and data warehouse solutions using AWS Lake Formation, Amazon Redshift, Amazon Athena, S3, and related AWS technologies.
Collaborate with Lead Developers, Data Scientists, Architects, Product Owners, and business stakeholders to define technical strategy and scalable data solutions.
Provide hands-on technical leadership, engineering oversight, code reviews, and mentorship to Data Engineers and development teams.
Drive architectural decisions in partnership with Data and Solution Architects to ensure scalability, security, reliability, performance, and maintainability.
Design and support Kafka-based streaming and event-driven data architectures, preferably using Confluent Kafka.
Develop distributed data processing solutions using Python, PySpark, AWS EMR, and other cloud-native technologies.
Establish engineering standards and best practices for data modeling, ETL frameworks, pipeline reliability, monitoring, observability, and operational excellence.
Lead end-to-end solution delivery while ensuring alignment with business requirements, enterprise architecture standards, security controls, and regulatory requirements.
Design and implement Infrastructure as Code solutions using Terraform across multiple AWS accounts and environments.
Develop and maintain CI/CD frameworks using GitHub and GitHub Actions.
Oversee production support and operational management of AWS-based data platforms, including root-cause analysis, troubleshooting, and performance optimization.
Champion data governance, metadata management, data quality, observability, and data stewardship practices across platforms and teams.
Identify opportunities to modernize data architecture and improve operational efficiency through automation and cloud-native technologies.
Support the development of AI-ready data pipelines and machine learning workflows, including feature engineering and MLOps.
Design data solutions capable of supporting Generative AI applications, intelligent search, RAG architectures, LLMs, and vector databases.
Drive technical decision-making and clearly communicate complex data architecture concepts to both technical and non-technical stakeholders.

Required Qualifications

8+ years of Data Engineering experience, including at least 5+ years of extensive experience working within AWS environments.
Expert-level experience with AWS services including S3, EMR, Glue Jobs, Lambda, Athena, CloudTrail, SNS, SQS, CloudWatch, and Step Functions.
Strong hands-on experience designing and implementing enterprise-scale data lakes and data warehouses using AWS Lake Formation, Amazon Redshift, and Amazon Athena.
Advanced Python development experience with extensive hands-on use of PySpark.
Advanced SQL expertise, including query optimization, large-scale data processing, and enterprise data warehousing.
Strong data modeling experience, including dimensional modeling, Data Vault, and other enterprise data modeling techniques.
Deep experience designing, developing, and optimizing scalable and resilient data pipelines within AWS environments.
Strong experience with distributed data processing frameworks, particularly PySpark and AWS EMR.
Extensive knowledge of database management, performance tuning, and data architecture best practices.
Experience with Kafka-based streaming architectures, preferably Confluent Kafka.
Expertise with Infrastructure as Code using Terraform.
Experience designing and implementing CI/CD frameworks using GitHub and GitHub Actions.
Deep knowledge of AWS IAM roles, policies, governance, security controls, and cloud security best practices.
Strong experience with workflow orchestration platforms such as AWS Step Functions, Apache Airflow, or equivalent technologies.
Experience leading cloud migration, modernization, or enterprise data platform initiatives.
Strong understanding of data governance, metadata management, data quality frameworks, observability, resiliency, and operational supportability.
Experience creating AI applications using AWS Bedrock.
Experience building AI-ready data pipelines and ML workflows, including feature engineering and MLOps.
Knowledge of Generative AI technologies, LLMs, Retrieval-Augmented Generation (RAG), and vector databases.
Experience working with cloud-based AI and data platforms such as AWS, Azure, or Databricks.
Ability to lead hands-on development efforts while providing technical direction, engineering oversight, and code reviews across multiple initiatives.
Experience establishing cloud development environments, infrastructure standards, security controls, and migration strategies across multiple accounts and environments.
Proven ability to identify data gaps, develop strategic remediation plans, and implement scalable automation solutions.
Experience designing highly reliable data pipelines with a strong emphasis on data quality, observability, resiliency, and operational support

Dice Id: sssmi
Position Id: JOB-248026
Posted 2 hours ago

Company Info

About Strategic Staffing Solutions

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

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