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Senior Aws Data Engineer Jobs (NOW HIRING)

Inizio Partners Corp

AWS Data Engineer

Newark, NJ

$119K - $143K/yr

Build reliable and robust Data ingestion pipelines (within AWS, onprem to AWS ,etc.) * Ensure the best possible performance and quality of high scale data engineering project * Participate in the ...

Seven Seven Software

AWS Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

Experience implementing, supporting data lakes, data warehouses and data applications on AWS for large enterprises * Programming experience with Python, Shell scripting and SQL * Solid experience of ...

Shift4

Senior AWS Cloud Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

They are seeking a Senior AWS Cloud Data Engineer to design, develop, and maintain robust data infrastructure solutions to support the organization's data-driven initiatives. Responsibilities : • ...

Plugins Inc

AWS Data Engineer

Dallas, TX

$104K - $125K/yr

We are looking for an experienced AWS Data Engineer with strong expertise in ETL, cloud migration, and large-scale data engineering. The ideal candidate is hands-on with AWS, Python/PySpark, and SQL ...

Shift4

Senior AWS Cloud Data Engineer

Las Vegas, NV · On-site

$101K - $137K/yr

They are seeking a Senior AWS Cloud Data Engineer to design, develop, and maintain robust data infrastructure solutions to support the organization's data-driven initiatives while collaborating with ...

Shift4

Senior AWS Cloud Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

As a Senior AWS Cloud Data Engineer, you will be responsible for designing, developing, and maintaining robust data infrastructure solutions to support the organization's data-driven initiatives.

Plugins Inc

AWS Data Engineer

Dallas, TX · On-site

$104K - $125K/yr

We are looking for an experienced AWS Data Engineer with strong expertise in ETL, cloud migration, and large-scale data engineering. The ideal candidate is hands-on with AWS, Python/PySpark, and SQL ...

Select Minds LLC

AWS Data Engineer

Dallas, TX

$60 - $65/hr

AWS Data Engineer Location: Dallas, TX (Hybrid 3 days per week in-office) Interview Process: In-Person Interview Profiles Required: 812 Years of Experience Locals & Non-Locals Can Apply Core Skills:

Shift4

Senior AWS Cloud Data Engineer

Las Vegas, NV · On-site

$101K - $137K/yr

As a Senior AWS Cloud Data Engineer, you will be responsible for designing, developing, and maintaining robust data infrastructure solutions to support the organization's data-driven initiatives.

Apex Informatics

AWS Data Engineer

Plano, TX · On-site

$109K - $131K/yr

AWS Data Engineer Plano, TX (Hybrid role) Must have skills: AWS, Java/ Python, Lake formation, Glue (ETL), Spark/PySpark, ETL Domain: Banking / Credit card Required qualifications, capabilities, and ...

eTeam

AWS Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Job Summary : eTeam is seeking an AWS Data Engineer to join their team in Charlotte, NC. The primary responsibilities include developing and optimizing data engineering solutions using AWS ...

Seven Seven Software

AWS Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

Build reliable and robust Data ingestion pipelines (within AWS, onprem to AWS ,etc) * Ensure the best possible performance and quality of high scale data engineering project * Participate in the ...

Shift4

Senior AWS Cloud Data Engineer

Tampa, FL · On-site

$100K - $136K/yr

They are seeking a Senior AWS Cloud Data Engineer to design, develop, and maintain robust data infrastructure solutions, collaborating closely with cross-functional teams to ensure system ...

Qode

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

Job Brief As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data pipelines on AWS. You will work closely with technical analysts, client stakeholders, data ...

IT America Inc

AWS Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

AWS Data Engineer Location: Richmond, VA (Onsite) Duration: Long term contract Note: Ex-CapitalOne candidates preferred, especially those who worked atleast 1+ yr of exp with them. Job ...

Qode

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

Job Brief As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data pipelines on AWS. You will work closely with technical analysts, client stakeholders, data ...

Grinteq

AWS Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Position We are looking for an experienced AWS Data Engineer to join the team that develop a data-centric platform that empowers multiple data sources about consumers behaviors across the global for ...

LVT Labs Consulting

AWS Data Engineer

Atlanta, GA · On-site

$112K - $134K/yr

AWS Data service experience (S3, GLUE, Lambda, Redshift, KMS etc.), Strong SQL knowledge and Aws CDK knowledge. 8+ years of experience in Data Engineer with AWS services like Simple Storage Service ...

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All JobsSenior Aws Data Engineer Jobs

Senior Aws Data Engineer information

See salary details

$81K

$126.3K

$175K

How much do senior aws data engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for senior aws data engineer in the United States is $126,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $144,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Aws Data Engineer vs Data Engineer?

AspectSenior Aws Data EngineerData Engineer
Required CredentialsAWS certifications, SQL, Python, SparkSQL, Python, ETL tools, basic AWS knowledge
Work EnvironmentCloud-based data pipelines, AWS servicesOn-premises or cloud data environments
Employer & Industry UsageTech, finance, healthcare using AWSVarious industries, including startups and enterprises
Common Search & ComparisonOften compared for experience level and AWS expertiseEntry to mid-level data roles

The main difference between a Senior Aws Data Engineer and a Data Engineer lies in experience, AWS-specific skills, and responsibilities. Senior Aws Data Engineers typically have advanced AWS certifications and focus on designing and managing cloud-based data solutions, whereas Data Engineers may work with a broader range of tools and environments. Both roles are essential in data-driven organizations, but the senior role involves more strategic planning and cloud architecture expertise.

What does a Senior AWS Data Engineer do?

A Senior AWS Data Engineer is responsible for designing, developing, and maintaining large-scale data processing systems on Amazon Web Services (AWS). They build data pipelines, manage data storage solutions, and ensure data quality, security, and scalability. These professionals often work closely with data scientists, analysts, and other engineers to support data-driven decision-making within an organization. Their expertise includes tools like AWS Glue, Redshift, S3, and Lambda, as well as programming languages such as Python or Scala.

How does a Senior AWS Data Engineer typically collaborate with cross-functional teams in large-scale projects?

As a Senior AWS Data Engineer, you will regularly collaborate with data scientists, analysts, software engineers, and product managers to design and implement scalable data solutions. You are often responsible for gathering requirements, translating business needs into technical specifications, and ensuring data pipelines meet both performance and compliance standards. Effective communication and proactive problem-solving are key, as you'll be expected to guide junior engineers, participate in architecture discussions, and coordinate releases or updates to data infrastructure.

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

To thrive as a Senior AWS Data Engineer, you need advanced expertise in data engineering, cloud architecture, and programming languages like Python or Scala, typically supported by a bachelor’s degree in computer science or a related field. Proficiency with AWS services such as Redshift, Glue, Lambda, S3, and relevant certifications like AWS Certified Data Analytics are commonly required. Strong problem-solving abilities, collaboration, and effective communication distinguish top performers in this role. These skills are crucial for designing scalable data solutions, ensuring data integrity, and enabling efficient analytics in cloud environments.
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Senior Aws Data Engineer jobs near you

AWS Data Engineer

Inizio Partners Corp

Newark, NJ

$119K - $143K/yr

Full-time

Posted 16 days ago

Job description

Role Overview:

  • Designing, building and maintaining efficient, reusable, and reliable architecture and code.
  • Build reliable and robust Data ingestion pipelines (within AWS, onprem to AWS ,etc.)
  • Ensure the best possible performance and quality of high scale data engineering project
  • Participate in the architecture and system design discussions
  • Independently perform hands on development and unit testing of the applications.
  • Collaborate with the development team and build individual components into complex enterprise web systems.
  • Work in a team environment with product, production operation, QE/QA and cross functional teams to deliver a project throughout the whole software development cycle.
  • Responsible to identify and resolve any performance issues
  • Keep up to date with new technology development and implementation
  • Participate in code review to make sure standards and best practices are met.

Key Responsibilities & Skillsets:

  • Common Skillsets:
    • Superior analytical and problem solving skills
    • Should be able to work on a problem independently and prepare client ready deliverable with minimal or no supervision
    • Good communication skill for client interaction

Application development Skillsets:

  • Bachelor's degree in computer science, Software Engineering, MIS or equivalent combination of education and experience.
  • Experience implementing, supporting data lakes, data warehouses and data applications on AWS for large enterprises.
  • Programming experience with Python, Shell scripting and SQL.
  • Solid experience of AWS services such as CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, SM etc.
  • Solid experience implementing solutions on AWS based data lakes.
  • Should have good experience with AWS Services - API Gateway, Lambda, Step Functions, SQS, DynamoDB, S3, Elasticsearch.
  • Serverless application development using AWS Lambda.
  • Experience in AWS data lake/data warehouse/business analytics.
  • Experience in system analysis, design, development, and implementation of data ingestion pipeline in AWS.
  • Knowledge of ETL/ELT.
  • End-to-end data solutions (ingest, storage, integration, processing, access) on AWS.
  • Architect and implement CI/CD strategy for EDP.
  • Implement high velocity streaming solutions using Amazon Kinesis, SQS, and Kafka (preferred).
  • Migrate data from traditional relational database systems, file systems, NAS shares to AWS relational databases such as Amazon RDS, Aurora, and Redshift.
  • Migrate data from APIs to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift.
  • Implement POCs on any new technology or tools to be implemented on EDP and onboard for real use-case.
  • AWS Solutions Architect or AWS Developer Certification preferred.
  • Good understanding of Lakehouse/data cloud architecture.

Candidate Profile:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 7+ years of experience in data engineering, with at least 3 years in technical leadership or lead engineer role.
  • Extensive hands-on experience with AWS data services (Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, Athena, RDS, API Gateway, etc.).
  • Proficient in programming languages such as Python and SQL; experience with Shell scripting and Scala is a plus.
  • Strong experience designing, implementing, and managing data lakes, data warehouses, and data ingestion pipelines on AWS.
  • Proven experience with ETL/ELT processes, data modeling, and big data frameworks.
  • Demonstrated ability to lead, mentor, and coach engineers in a collaborative team environment.
    Experience with DevOps practices, CI/CD pipelines, and infrastructure-as-code tools (e.g., CloudFormation, Terraform).
    Excellent problem-solving, communication, and organizational skills.