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Full Time Aws Data Engineer Jobs (NOW HIRING)

Inficare Technologies

AWS Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

AWS Data Engineer Location: Minneapolis, MN (Onsite) Job Type: Contract Experience: Mid-to-Senior level Job Overview Our client is seeking an experienced AWS Data Engineer to join their team in ...

Inficare Technologies

AWS Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

AWS Data Engineer Location: Minneapolis, MN (Onsite - local candidates preferred) Job Type: Contract (Long-term) Experience: Not specified Job Overview Our client is seeking an experienced AWS Data ...

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

As of Sep 14, 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.

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 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.

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 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:

What are popular job titles related to Full Time Aws Data Engineer jobs?

For Full Time Aws Data Engineer jobs, the most frequently searched job titles are:

Full Time Aws Data Engineer jobs near you

AWS Data Engineer

Melbourne, FL • On-site

Syms Strategic Group, LLC (SSG)
IT Services • 11 - 50 employees
Learn more about Syms Strategic Group, LLC (SSG)external

$85K - $116K/yr

Full-time

Posted 3 days ago

New

Job description

Syms Strategic Group (SSG) is seeking a talented Senior Systems Engineer (Amazon Web Services (AWS) Data Engineer)
Location: Remote
Department: Veterans Affairs (VA)
Type: Full Time
Min. Experience: Experienced
Security Clearance Level: Public Trust (MBI)
Salary Range: $85,389 - $116,975
If you have previously applied to Syms Strategic Group (SSG), there is no need to reapply. Applications are still under review.
Military Veterans are highly encouraged to apply!
Essential Duties and Responsibilities
  • Lead the next phase of the healthcare data platform modernization
  • Implement the evolution from a Microsoft SQL eXtensible Markup Language (MSSQL XML) object store toward a scalable, cloud-native AWS data architecture that enables business stakeholders and analysts to run performant, SQL-based reports and queries against healthcare data seamlessly
  • Evaluate and decide the right AWS data strategy for the platform
  • Evaluate and recommend the optimal AWS-native data storage and query architecture for the XML object store data, assessing options such as S3 + Athena, Aurora, DynamoDB, Redshift, and OpenSearch based on query patterns, reporting needs, cost, and scalability
  • Design and build the reporting and query layer that allows business stakeholders and non-technical users to run relational SQL queries against healthcare data using familiar tooling
  • Architect the migration path for XML object store data from MSSQL into the target AWS platform, defining storage formats, partitioning strategies, and data organization for optimal query performance
  • Build and maintain AWS data catalog, schemas, and metadata management so that object store data is discoverable and queryable by business users
  • Optimize query performance and cost across chose AWS services - partitioning, compression, file formats, and query pattern tuning
  • Work directly with business stakeholders and analysts to understand reporting requirements and translate them into durable, performant data models and query patterns
  • Collaborate with back-end C#/.Net engineer to ensure data flows cleanly from Electronic Data Interchange (EDI) processing pipelines into the new data layer
  • Implement and maintain CI/CD pipelines for data infrastructure using AWS-native tooling (CodePipeline, CodeBuild, and CodeDeploy)
  • Apply Infrastructure as Code (IaC) practices using AWS Cloud Development Kit (CDK), CloudFormation, or Terraform
  • Document architecture decisions, data flows, and data dictionaries clearly for both technical and non-technical audiences
Required Skills and Experience
  • 8+ years' experience in software or data engineering with a strong AWS focus
  • Proven experience architecting and executing cloud data platform migrations in production enterprise or healthcare environments
  • Track record of evaluating and selecting AWS data services to meet business reporting and query requirements
  • Experience delivering reporting or analytics solutions that serve non-technical business users
  • Deep hands-on AWS experience across data-oriented services - S3, Athena, Glue, Aurora, DynamoDB, Redshift, OpenSearch, Lambda, IAM, and Cloudwatch
  • Strong SQL skills with the ability to design relational query layers over semi-structured or non-relational data (XML, JSON)
  • Experience working with XML-heavy data stores - parsing, querying, and transforming XML at scale
  • An ability to evaluate trade-offs across AWS data services and make architecture recommendations based on cost, performance, and business requirements
  • Familiarity with AWS analytics and reporting services, including Athena, QuickSight, RedShift, or equivalent Business Intelligence (BI) tooling
  • Proficiency with Git and GitHub - branching strategies, pull requests, and collaborative workflows
  • Familiarity with CI/CD practices and AWS-native tooling (CodePipeline, CodeBuild, and CodeDeploy)
  • IaC experience (AWS CDK, CloudFormation, or Terraform)
  • Strong ability to communicate technical architecture decisions and trade-offs to non-technical stakeholders
  • Experience gathering and translating business reporting requirements into technical data models
  • Comfort driving ambiguous architecture decisions to resolutions with limited direction
  • Experience with Agile methodologies (Scrum, Kanban) and JIRA
  • Strong documentation habits - architecture diagrams, data dictionaries, migration runbooks
Professional CertificationsNone but AWS certifications are a bonusYears of Professional Experiencen/aDesired experienceElectronic Data Interchange X.12 (EDI) Medical Claims
  • X.12, Medical Claims (837, 835, 277CA, etc), Health Level (HL7), Fast Healthcare Interoperability Resources (FHIR)
Familiarity with C#/.Net back-end services for integration touchpoints
Experience with Entity Framework migration or deprecation projects
Experience with healthcare payer/Pharmacy Benefit Management (PBM) systems, clearinghouses, or pharmacy operations
Knowledge of HIPAA compliance requirements in cloud data architectureFormal EducationBachelor's degree or higher in Computer Science, Engineering, or a related technical discipline; equivalent practical experience consideredCitizenship RequirementU.S. Citizenship required for this specific opportunitySecurity Clearance RequirementsMust possess or qualify for a Public Trust (MBI)CRITICAL NOTES:
  1. SSG will not make assumptions regarding your qualifications. Your answers to the mandatory screening questions must be supported by the information on your resume. Applications with inconsistencies will not be considered.
  2. Recruiters or Third parties will not be considered.
  3. This is a 100% U.S. based remote position. However, candidates from CA, CO, IL, MN, NJ, NY, OR, or WA will not be considered.
  4. This is a W-2 position
  5. All interviews will be conducted on Microsoft Teams with your camera on; there will be no exceptions
  6. As part of our screening process, you will be requested to provide a link to your LinkedIn profile

U.S Citizenship is required for this specific opportunity. Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information and be able to obtain a government-granted security clearance. Individuals may also be subject to a background investigation including, but not limited to criminal history, employment and education verification, drug testing, and creditworthiness.
Syms Strategic Group, LLC is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, marital status, disability, veteran status, sexual orientation, or genetic information.

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