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Full Time Aws Data Engineer Jobs (NOW HIRING)

AWS Cloud Data Engineer

San Antonio, TX · On-site

$103K - $124K/yr

We are seeking an experienced AWS Data Engineer to design, build, and maintain robust data pipelines, and data processing solutions in the AWS cloud environment. * This role will work closely with ...

AWS Cloud Data Engineer

San Antonio, TX · On-site

$103K - $124K/yr

We are seeking an experienced AWS Data Engineer to design, build, and maintain robust data pipelines, and data processing solutions in the AWS cloud environment. * This role will work closely with ...

AWS Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Data Engineer Location:Tampa ,FL Our team's line of questioning would be testing candidate's ability to deploy using automation, operate, incident handle, tune for performance, cloud data migration ...

Lead AWS Data Engineer

Jersey City, NJ · On-site

$107K - $140K/yr

Role - AWS/Senior DE Location - JC, NJ (3-4 days reporting in office) Type - C2C - We are seeking an experienced Senior Data Engineer to support complex data engineering initiatives within our ...

AWS Cloud Data Engineer

Tulsa, OK · On-site +1

$104K - $125K/yr

Summary The AWS Data Engineer will be responsible for designing, implementing, and maintaining data solutions on Amazon Web Services (AWS) to support the organization's data and analytics needs. This ...

AWS Data Engineer - Fully Remote - US Only

Plano, TX · On-site +1

$109K - $131K/yr

About the Role We are seeking an experienced AWS Data Engineer with a strong background in building scalable data solutions and expertise in utilities-related datasets. The ideal candidate will have ...

AWS Data Engineer - Fully Remote - US Only

Plano, TX · Remote

$109K - $131K/yr

About the Role We are seeking an experienced AWS Data Engineer with a strong background in building scalable data solutions and expertise in utilities-related datasets. The ideal candidate will have ...

AWS Data Engineer - Fully Remote - US Only

Plano, TX · Remote

$117K - $140K/yr

About the Role We are seeking an experienced AWS Data Engineer with a strong background in building scalable data solutions and expertise in utilities-related datasets. The ideal candidate will have ...

Python & AWS Data Engineer

New York, NY · On-site

$86K - $127K/yr

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

AWS Data Architect

Alameda, CA · On-site

$72.25 - $93/hr

Alameda, CA 94502 Job Type : Full-Time / Contract We are seeking a highly skilled AWS Data ... Mentor and technically guide data engineers and BI developers, establishing development standards ...

AWS Data Engineer (Senior)

Seattle, WA · On-site +1

$120K - $163K/yr

Mactores is seeking an AWS Data Engineer (Senior) to join our team. The ideal candidate will have extensive experience in PySpark and SQL, and have worked with data pipelines using Amazon EMR or ...

AWS Data Engineer (Senior)

Seattle, WA · On-site

$120K - $163K/yr

Mactores is seeking an AWS Data Engineer (Senior) to join our team. The ideal candidate will have extensive experience in PySpark and SQL, and have worked with data pipelines using Amazon EMR or ...

AWS Data Engineer (Senior)

Seattle, WA · Remote

$108K - $147K/yr

Mactores is seeking an AWS Data Engineer (Senior) to join our team. The ideal candidate will have extensive experience in PySpark and SQL, and have worked with data pipelines using Amazon EMR or ...

Data Engineer, AWS DC Central Operations

Seattle, WA · On-site

$130K - $156K/yr

We support all AWS data centers and all of the servers, storage, networking, power, and cooling ... As a Data Engineer on our team, you'll work with technologies and complex data environments. You'll ...

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Full Time Aws Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do full time aws data engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for full time aws data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

How does a Full Time AWS Data Engineer typically collaborate with other teams within an organization?

As a Full Time AWS Data Engineer, you will frequently collaborate with data scientists, software engineers, and business analysts to design and implement scalable data pipelines. Your role often involves gathering requirements from stakeholders, integrating data from various sources, and ensuring data quality and accessibility. Close teamwork is essential, as you’ll work with DevOps for deployment, security teams to manage data governance, and business units to understand analytics needs. Effective communication and the ability to translate technical details for non-technical colleagues are valuable skills in this collaborative environment.

What is the difference between Full Time Aws Data Engineer vs Cloud Data Engineer?

AspectFull Time Aws Data EngineerCloud Data Engineer
CertificationsAWS Certified Data Analytics, AWS Certified Solutions ArchitectCloud certifications (AWS, Azure, GCP), Data Engineering certifications
Work EnvironmentPrimarily AWS cloud platform, data pipelines, ETL processesMultiple cloud platforms, data integration, cloud architecture
Industry UsageTech, finance, healthcare using AWS infrastructureVarious industries adopting multiple cloud services

Full Time AWS Data Engineers focus on building data solutions specifically within the AWS ecosystem, utilizing AWS tools and services. Cloud Data Engineers may work across multiple cloud platforms, designing scalable data architectures. While both roles require similar skills, AWS Data Engineers specialize in AWS, whereas Cloud Data Engineers have broader cloud platform expertise.

What are the key skills and qualifications needed to thrive as a Full Time AWS Data Engineer, and why are they important?

To thrive as a Full Time AWS Data Engineer, you need strong expertise in data modeling, ETL processes, and proficiency with programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with AWS services such as Redshift, Glue, S3, and Lambda, as well as certification like AWS Certified Data Analytics or AWS Certified Solutions Architect, is highly valuable. Excellent problem-solving, collaboration, and communication skills set top performers apart in this role. These abilities are crucial for building scalable data pipelines, ensuring data quality, and driving business insights through reliable data infrastructure.

What does a Full Time AWS Data Engineer do?

A Full Time AWS Data Engineer designs, builds, and maintains data pipelines and infrastructure on Amazon Web Services (AWS). They work with cloud-based tools to process, store, and analyze large datasets, ensuring data is accessible and secure. Their responsibilities often include data migration, ETL (Extract, Transform, Load) processes, and optimizing data workflows for performance and scalability. AWS Data Engineers collaborate with data scientists, analysts, and other stakeholders to support business intelligence and analytics needs.
What cities are hiring for Full Time Aws Data Engineer jobs? Cities with the most Full Time Aws Data Engineer job openings:
What are the most commonly searched types of Aws Data Engineer jobs? The most popular types of Aws Data Engineer jobs are:
What states have the most Full Time Aws Data Engineer jobs? States with the most job openings for Full Time Aws Data Engineer jobs include:
AWS Cloud Data Engineer

AWS Cloud Data Engineer

Guidehouse

San Antonio, TX • On-site

$103K - $124K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 17 days ago


Guidehouse rating

7.5

Company rating: 7.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

37th of 58 rated business consultants


Job description

Job Family:
Software Development & Support
Travel Required:
Up to 10%
Clearance Required:
Ability to Obtain Public Trust
What You Will Do:
  • We are seeking an experienced AWS Data Engineer to design, build, and maintain robust data pipelines, and data processing solutions in the AWS cloud environment.
  • This role will work closely with our AWS Cloud DBA to create end-to-end data solutions to migrate data from legacy application to AWS cloud platform ensuring optimal performance and reliability.
  • The ideal candidate has hands-on experience with AWS data services, modern data architecture patterns, and can collaborate with database administrators, data scientists, and business stakeholders to deliver scalable data solutions.
  • Design and implement scalable data pipelines using AWS services including AWS Glue, Step Functions, Lambda, and Kinesis. Build ETL/ELT processes to ingest, transform, and load data from various sources into data warehouses and data lakes.
  • Architect and maintain data lakes using S3, implement data cataloging with AWS Glue Catalog, and optimize data storage formats (Parquet, Delta, etc.). Design data warehouse solutions using Redshift and integrate with existing RDS/Aurora databases managed by the DBA team.
  • Develop real-time and batch data processing solutions using Kinesis Data Streams, Kinesis Analytics, EMR, and AWS Batch.
  • Create and maintain data models, schemas, and documentation. Work with the DBA team to optimize data access patterns and query performance across relational and analytical databases.
  • Build automated data quality checks, monitoring, and alerting systems. Implement data governance policies and ensure compliance with data retention, privacy, and security requirements.

What You Will Need:
  • US Citizenship or Green Card is required.
  • Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred.
  • Bachelor's degree in computer science, Data Engineering, or related field. Additional Four (4) experience can be used in lieu of degree.
  • Minimum SIX (6) years of experience in data engineering with at least 3+ years working in AWS cloud environments
  • Strong expertise in AWS data services including S3, Glue, DMS, Athena, Redshift, EMR, Kinesis, and Lambda
  • Proficiency in programming languages including Python, Scala, or Java for data processing and pipeline development
  • Experience with SQL and working knowledge of both relational databases (PostgreSQL, Oracle) and NoSQL systems (DynamoDB, DocumentDB)
  • Understanding of data modeling concepts for both transactional and analytical workloads
  • Experience with Infrastructure as Code tools (Terraform, CloudFormation, CDK) and CI/CD pipelines for data engineering workflows
  • Strong analytical and problem-solving skills with attention to data quality and system reliability
  • Proven ability to work collaboratively with database administrators, data scientists, and business stakeholders

What Would Be Nice To Have:
  • AWS Certified Data Engineer - Associate certification (Highly desirable)
  • AWS Certified Solutions Architect or other relevant AWS certifications
  • Familiarity with big data frameworks such as Apache Spark, Apache Airflow, or AWS-native orchestration tools
  • Knowledge of data formats (JSON, Avro, Parquet, ORC) and compression techniques for optimal storage and processing
  • Familiarity with version control systems (Git) and collaborative development practices
  • Knowledge of container orchestration (Docker, Kubernetes, ECS, EKS)
  • Experience with data visualization tools (QuickSight, Tableau, PowerBI)
  • Understanding of data privacy regulations (GDPR, CCPA) and compliance frameworks
  • Experience with performance tuning and optimization of distributed data processing systems

What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Parental Leave
  • 401(k) Retirement Plan
  • Group Term Life and Travel Assistance
  • Voluntary Life and AD&D Insurance
  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
  • Transit and Parking Commuter Benefits
  • Short-Term & Long-Term Disability
  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Care.com annual membership
  • Employee Assistance Program
  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse
Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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