Top 294 Aws cloud engineer Jobs in Charlotte, Nc

Technical Lead (Data Engineering)
Brooksource —Charlotte, NC
- $80 an hour
- Contract
- Hybrid work
- Background check
- 8 years
- SQL
- Health savings account
- Paid holidays
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Sr. Cloud Platform Engineer
Pacific Life —Charlotte, NC
- $167,850 - $205,150 a year
- Full-time
- Computer science
- Computer Science
- HIPAA
- Paid parental leave
- Paid holidays
Cloud Platforms Director
Pacific Life —Charlotte, NC
- $167,850 - $205,150 a year
- Full-time
- HIPAA
- Office
- Bachelor's degree
- Paid parental leave
- Paid holidays
AI Security Architect
Brooksource —Charlotte, NC
- $58 - $70 an hour
- Contract
- Hybrid work
- Azure
- Computer Science
- 5 years
- Health insurance
- Dental insurance
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10d
Cloud Engineer (AWS)
Contact Government Services, LLC —Charlotte, NC
- $99,008 - $134,368 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Mid-level
- Health insurance
- Dental insurance
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Cybersecurity Engineer
Barracuda Networks Inc. —Charlotte, NC
- $105,000 - $140,000 a year
- Remote
- Azure
- Computer Science
- Research
- Health insurance
- Paid time off
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DevOps Engineer
Tata Consultancy Services —Charlotte, NC
- $85,000 - $90,000 a year
- Computer Science
- SQL
- Bachelor's degree
- Commuter assistance
- Health insurance
Cyber Security Engineer
Regions —Charlotte, NC
- $89,329.90 - $122,940.00 a year
- Full-time
- Hybrid work
- Computer Science
- System design
- Research
- Health savings account
- Health insurance
IT Cloud Engineer
Sonic Automotive —Charlotte, NC
- Full-time
- Computer science
- Computer Science
- Mid-level
Quick Apply
2d
DevOps Engineer
Spectrum —Charlotte, NC
- Full-time
- Hybrid work
- Mid-level
- Office
- Residential
- Work from home
- Opportunities for advancement
2d
Data Engineer (AWS, Azure, GCP)
CapTech Consulting —Charlotte, NC
- Full-time
- Azure
- DevOps
- Mid-level
- Loan repayment program
- Disability insurance
Quick Apply
AWS Data Engineer
Tata Consultancy Services —Charlotte, NC
- $120,000 - $135,000 a year
- Computer Science
- System design
- Bachelor's degree
7d
Data Engineer (Snowflake, AWS)
Capgemini —Fort Mill, SC
- $39.86 - $62.29 an hour
- Contract
- Azure
- SQL
- AWS
- Dental insurance
- Vision insurance
Senior AWS DevSecOps Engineer
Pantheon Data —Charlotte, NC
- $100,000 - $150,000 a year
- Full-time
- Remote
- Computer science
- Microsoft Excel
- Microsoft Outlook
- Tuition reimbursement
Quick Apply
Software Engineer
Regions —Charlotte, NC
- $110,947.10 - $140,690.00 a year
- Full-time
- Hybrid work
- Computer Science
- System design
- Office
- Health savings account
- Health insurance
Cloud and Storage Engineer
Contact Government Services, LLC —Charlotte, NC
- $100,949.33 - $137,002.66 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Customer service
- Health insurance
- Dental insurance
Quick Apply
Network Engineer - Entry Level - Charlotte, NC
Aston Technologies Inc. —Charlotte, NC
- $20 - $28 an hour
- Background check
- Computer literacy
- Pass drug screening
- Paid holidays
- Dental insurance
Cybersecurity Engineer
CPI Security —Charlotte, NC
- Azure
- Mid-level
- Office
- Paid holidays
- Disability insurance
Quick Apply
9d
Cloud Systems Architect
Contact Government Services, LLC —Charlotte, NC
- $167,032.32 - $226,686.72 a year
- Full-time
- Hybrid work
- Azure
- 6 years
- Mid-level
- Health insurance
- Dental insurance
Quick Apply
Senior Software Engineer – Java & Cloud Platform
Siemens —Charlotte, NC
- $197,700 a year
- Full-time
- Hybrid work
- Computer science
- Azure
- 6 years
12h

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Technical Lead (Data Engineering)

Brooksource -
Charlotte, NC

Quick Apply

Job Details

Contract
$80 an hour

Benefits

Health savings account
Paid holidays
Health insurance
Dental insurance
Flexible spending account
Paid time off
Employee assistance program
Vision insurance
401(k) matching

Qualifications

Data engineering
Data model design
Data modeling projects
Team leadership
Technical documentation
Spark
Schema design
SQL
Event-driven architecture
Data Architecture Design (Architecture design skills)
AWS
Spark implementation
Cloud database architecture
AWS Glue
Distributed systems
Leading team collaboration initiatives
Amazon Aurora
Kafka
Redshift
Real-time data processing implementation
Project stakeholder communication
Python
Cross-functional communication
Senior leadership
Stakeholder management
Database software proficiency
Design patterns
AWS Lambda

Full Job Description

Technical Lead – Data Engineering
Hybrid – Charlotte, NC (3 days/wk Onsite)
12mo+ Contract (Ongoing - Likely to Extend)

Role Overview:
We are seeking a Technical Lead – Data Engineering to provide hands-on technical leadership across our data engineering platform. This role combines deep technical expertise with collaborative leadership, architectural stewardship, and delivery accountability. In this role, you will partner closely with existing technical leadership within the Data & Analytics organization, including other technical leads, architects, and senior engineers, to design and evolve scalable data solutions.

You will help drive consistency, share best practices, and collectively shape the technical direction of the platform. The role remains highly hands-on, with significant contribution in AWS Glue (PySpark), Python, Kafka, AWS DMS, AWS Lambda, AWS Redshift, and Aurora PostgreSQL, while acting as a key technical voice within the broader data engineering leadership group.

Key Responsibilities:
Technical Leadership & Collaboration

Act as a hands-on technical leader for the Data Engineering area, collaborating with existing technical leads and architects to define and align on platform standards and architectural direction.
Partner with peer technical leaders to ensure consistency across data ingestion, transformation, streaming, and consumption patterns.
Contribute to shared technical roadmaps, design reviews, and architecture forums.
Provide technical guidance and escalation support while respecting shared ownership and collective decision-making.

Architecture & Engineering Standards

Help design, evolve, & maintain scalable, fault-tolerant architectures for batch & streaming data pipelines.
Establish and reinforce engineering standards for:
Pipeline design and reliability
Code quality and testing
Performance and cost optimization
Security and operational best practices
Drive alignment on ingestion strategies, CDC patterns, streaming vs. batch tradeoffs, and data modeling approaches.

Hands-On Data Engineering

Lead development of complex ETL/ELT pipelines using AWS Glue (PySpark) and Python.
Build, optimize, and support Kafka-based streaming pipelines, including topic design, partitioning strategies, and consumer patterns.
Implement and tune AWS DMS pipelines for full-load and CDC ingestion.
Develop AWS Lambda functions for orchestration, automation, monitoring, and event-driven workflows.
Design and optimize schemas, queries, and performance for Amazon Aurora PostgreSQL.

Platform Reliability, Performance & Cost

Share ownership of platform reliability, scalability, and performance with other technical leaders.
Identify and resolve bottlenecks in Spark jobs, streaming consumers, and database workloads.
Ensure robust error handling, retries, idempotency, and recovery strategies.
Partner with cloud/platform teams on cost optimization, capacity planning, and infrastructure improvements.

Data Quality & Trust

Partner closely with Data Quality Engineers and peer technical leaders to ensure quality validations are embedded throughout pipelines.
Ensure pipelines support reconciliation, auditability, and observability.
Enforce data freshness, completeness, and accuracy SLAs for downstream consumers, including Qlik.

Mentorship & Team Enablement

Mentor data engineers through code reviews, design sessions, and technical coaching.
Collaborate with other technical leaders to raise the overall engineering maturity of the team.
Contribute to hiring, onboarding, and skills development efforts.
Promote knowledge sharing through documentation, demos, and internal forums.

Stakeholder & Cross-Team Engagement

Work closely with analytics, BI, & business partners to translate requirements into scalable data solutions.
Partner with BI teams to ensure curated datasets are analytics-ready for Qlik.
Communicate technical decisions, risks, and tradeoffs clearly and collaboratively.

Required Qualifications:

8+ years of experience in data engineering or backend data platform development.
3+ years in a senior or technical leadership role with shared architectural ownership.
Expert-level experience with AWS Glue (PySpark), Python, and distributed data processing.
Experience with Kafka and streaming architectures.
Hands-on experience implementing and supporting AWS DMS Batch and CDC pipelines.
Advanced SQL skills and experience with Amazon Aurora PostgreSQL.
Experience with AWS Lambda and serverless/event-driven architectures.
Strong understanding of data modeling and batch vs. streaming design patterns.
Demonstrated ability to collaborate effectively with peer technical leaders.
Excellent communication and documentation skills.

Preferred Qualifications:

Familiarity with orchestration tools (Step Functions, Airflow).
Knowledge of data governance, lineage, and cataloging practices.
Experience optimizing Spark workloads for performance and cost.
Experience in enterprise or regulated environments.

What Success Looks Like:

Strong partnership and alignment with existing technical leadership.
Data engineering standards are well-defined, shared, and consistently applied.
Pipelines are scalable, reliable, and meet performance and quality SLAs.
Engineers are well-supported, mentored, and productive.
Ramp up on product development and implementation within a 30-45 day timeframe.

Disclaimer: Brooksource, Medasource, and Calculated Hire are part of the Eight Eleven Group family of companies and operate under Eight Eleven Group, LLC. All employees receive the same benefits, policies, and terms of employment.

EEO: We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, citizenship, pregnancy (including childbirth, lactation, and related conditions), or any other protected status in accordance with applicable federal, state, and local laws.

Benefits & Perks: Brooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee’s needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc.

Pay Disclaimer: The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Pay: $80.00 per hour

Benefits:

Dental insurance
Health insurance
Health savings account
Vision insurance

Work Location: Hybrid remote in Charlotte, NC 28206

Quick Apply

Refine Your Search

aws cloud engineer jobs in charlotte, nc

Technical Lead (Data Engineering)

Sr. Cloud Platform Engineer

Cloud Platforms Director

AI Security Architect

Cloud Engineer (AWS)

Cybersecurity Engineer

DevOps Engineer

Cyber Security Engineer

IT Cloud Engineer

DevOps Engineer

Data Engineer (AWS, Azure, GCP)

AWS Data Engineer

Data Engineer (Snowflake, AWS)

Senior AWS DevSecOps Engineer

Software Engineer

Cloud and Storage Engineer

Network Engineer - Entry Level - Charlotte, NC

Cybersecurity Engineer

Cloud Systems Architect

Senior Software Engineer – Java & Cloud Platform

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