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Aws Data Engineer Jobs in Edison, NJ (NOW HIRING)

Rivago infotech inc

AWS Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

AWS Lead Data Engineer (3 Open Positions) Location : Newark City, NJ (Hybrid) Job Summary : We are seeking an experienced AWS Lead Data Engineer to join our Data Engineering team. As a technical ...

New

Syntricate Technologies

AWS Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Syntricate Technologies is seeking an AWS Data Engineer with extensive experience in data engineering and AWS technologies. The role involves conducting design reviews and working with various AWS ...

Grinteq

AWS Data Engineer

Manhattan, NY · On-site

$40/hr

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 ...

Capgemini

AWS Data Engineer

New York, NY · On-site

$125K - $150K/yr

Role Overview We are seeking a skilled AWS Data Engineer to design, build, and optimize scalable data pipelines and architectures on the AWS cloud platform. The ideal candidate will have strong ...

United Airlines

AWS Data Engineer

Manhattan, NY

$126K - $151K/yr

Role Overview We are seeking a skilled AWS Data Engineer to design, build, and optimize scalable data pipelines and architectures on the AWS cloud platform. The ideal candidate will have strong ...

Capgemini

AWS Data Engineer

New York, NY · On-site

$125K - $150K/yr

We are seeking a skilled AWS Data Engineer to design, build, and optimize scalable data pipelines and architectures on the AWS cloud platform. The ideal candidate will have strong experience in data ...

SANS

AWS Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

* 7 plus 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 ...

CYNET SYSTEMS

AWS Data Engineer

Newark, NJ · On-site

$53 - $58/hr

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

United Airlines

AWS Data Engineer

Manhattan, NY

$126K - $151K/yr

We are seeking a skilled AWS Data Engineer to design, build, and optimize scalable data pipelines and architectures on the AWS cloud platform. The ideal candidate will have strong experience in data ...

Spruce Infotech

AWS Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

... data engineering experience building and supporting production data pipelines. * 4+ years of coding/scripting experience with Python and PostgreSQL * Experience on AWS (e.g., S3, Glue, Redshift ...

Centraprise

Lead AWS Data Engineer

Jersey City, NJ · On-site

$112K - $147K/yr

Hi, Title- Lead AWS Data Engineer Location- Jersey City, NJ Contract: Job Summary: We are seeking an experienced Lead Data Engineer to support complex data engineering initiatives within our ...

Village Care

Data Engineer - AWS

Manhattan, NY · On-site

$118K - $132K/yr

Data Engineer - AWS Location: Hybrid (Must Reside in NY/NJ/CT) Work Schedule: Monday - Friday, 9:00am - 5:00pm Compensation: $118,135.58 - $132,902.53 Annual Salary Our Community Mission VillageCare ...

Village Care

Data Engineer - AWS

Manhattan, NY · On-site

$118K - $132K/yr

Scope of the RoleAs a Data Engineer, you will strengthen VillageCare's cloud data foundation by advancing reliable, secure data movement and analytics-ready datasets in our AWS environment. This role ...

Lorven Technologies

AWS Senior Data Engineer

Jersey City, NJ · On-site

$116K - $157K/yr

Hi, Our client is looking for a AWS Senior Data Engineer in Jersey City ,NJ location, below is the detailed requirement. Job Title: AWS Senior Data Engineer Location: Jersey City, NJ * Bachelor ...

New

Bright Mind Solutions LLC

Data Engineer

Newark, NJ · On-site

$55 - $60/hr

AWS Data Engineer Duties: * Design and build data pipelines and ETL workflows using AWS Glue, AWS Lambda, and AWS Step Functions * Ingest and transform data from diverse sources (S3, RDS, DynamoDB ...

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All JobsAws Data Engineer JobsAws Data Engineer Jobs in Edison, NJ

Aws Data Engineer information

See Edison, NJ salary details

$45.1K

$131.6K

$180K

How much do aws data engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for aws data engineer in Edison, NJ is $131,550.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,100.00 and $139,400.00 per year, depending on experience, location, and employer.

What is an AWS data engineer?

AWS Data Engineers are professionals who design, build, and maintain data pipelines and architectures on Amazon Web Services (AWS). They work with large datasets, using AWS services such as Amazon S3, Redshift, Glue, and EMR to collect, transform, and store data for analytics or business intelligence. Their responsibilities often include ensuring data reliability, scalability, and security while optimizing data workflows and integrating various cloud-based tools. AWS Data Engineers collaborate with data scientists, analysts, and other stakeholders to enable data-driven decision-making. They typically have strong skills in programming, cloud infrastructure, and database management.

What are the key skills and qualifications needed to thrive as an AWS data engineer?

To thrive as an AWS Data Engineer, you need strong skills in data modeling, ETL processes, SQL, and a solid understanding of AWS services, typically supported by a degree in computer science or a related field. Familiarity with AWS tools like Redshift, Glue, S3, Lambda, and certifications such as AWS Certified Data Analytics are highly beneficial. Problem-solving abilities, effective communication, and adaptability are crucial soft skills for collaborating with teams and managing complex data projects. Mastery of these skills ensures efficient data pipeline development, reliable data solutions, and the ability to support business intelligence in a cloud environment.

What are some common challenges AWS data engineers face when managing large-scale data pipelines?

AWS Data Engineers often encounter challenges related to optimizing data pipelines for scalability and cost efficiency. Managing data ingestion from diverse sources, ensuring data quality, and handling real-time data processing can be complex at scale. Additionally, they must regularly monitor and troubleshoot pipeline failures, integrate new AWS services, and collaborate closely with data scientists, analysts, and DevOps teams to ensure data accessibility and security. Proactively addressing these challenges is vital for maintaining reliable and efficient data workflows.

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

AspectAws Data EngineerData Analyst
Required CredentialsAWS certifications, SQL, Python, data engineering skillsSQL, Excel, data visualization tools, sometimes basic programming
Work EnvironmentCloud platforms, big data environments, data pipelinesBusiness intelligence tools, spreadsheets, reporting dashboards
Employer & Industry UsageTech companies, cloud service providers, enterprises using AWSMarketing, finance, healthcare, and other industries analyzing data

While both roles work with data, Aws Data Engineers focus on building and maintaining data pipelines in cloud environments using AWS tools, whereas Data Analysts interpret data to generate insights and reports. The roles often complement each other in data-driven organizations.

Is AWS Data Engineer in demand?

AWS Data Engineers are in high demand due to the increasing adoption of cloud data platforms and the need for scalable data processing solutions. Skills in AWS services like S3, Redshift, and Glue, along with data modeling and ETL expertise, are highly sought after by employers across various industries.

What does an AWS Data Engineer do?

An AWS Data Engineer designs, builds, and maintains data pipelines and infrastructure on Amazon Web Services. They work with tools like AWS Glue, Redshift, S3, and Lambda to process and analyze large datasets, ensuring data quality and security. Strong programming skills and knowledge of cloud architecture are essential for this role.

What is the salary of AWS Data Engineer?

The average salary for an AWS Data Engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and certifications such as AWS Certified Data Analytics. Senior roles or those with specialized skills in cloud architecture may earn higher salaries.

What are popular job titles related to Aws Data Engineer jobs in Edison, NJ?

For Aws Data Engineer jobs in Edison, NJ, the most frequently searched job titles are:

What job categories do people searching Aws Data Engineer jobs in Edison, NJ look for?

The top searched job categories for Aws Data Engineer jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for Aws Data Engineer jobs?

Cities near Edison, NJ with the most Aws Data Engineer job openings:

Aws Data Engineer jobs near you
Infographic showing various Aws Data Engineer job openings in Edison, NJ as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $131,550 per year, or $63.2 per hour.

AWS Data Engineer

Rivago infotech inc

Newark, NJ • On-site

$119K - $143K/yr

Other

Posted yesterday

New

Job description

Role : AWS Lead Data Engineer (3 Open Positions)

Location : Newark City, NJ (Hybrid)

Job Summary: We are seeking an experienced AWS Lead Data Engineer to join our Data Engineering team. As a technical leader, you will be responsible for architecting, implementing, and managing scalable data solutions on AWS. You will provide technical guidance to a team of data engineers, collaborate with cross-functional partners, and ensure best practices in cloud data engineering. Candidate would be required to work from NJ office as part of this role.  

Key Responsibilities: Lead the design, development, and optimization of large-scale, reliable, and secure data pipelines and data lake architecture on AWS. Architect and implement end-to-end data solutions, including data ingestion, storage, transformation, and analytics using AWS services (Glue, Redshift, S3, Lambda, EMR, Kinesis, Athena, RDS, etc.). Mentor and guide a team of data engineers, conducting code reviews and fostering best practices in data engineering and cloud architecture. Collaborate with data scientists, analysts, and business stakeholders to translate requirements into scalable and maintainable solutions. Oversee migration of data from legacy systems to AWS-based data lakes and data warehouses. Develop and enforce standards for data quality, security, and governance. Drive the adoption of DevOps, CI/CD, and infrastructure-as-code practices within the data engineering team. Ensure solutions are cost-effective, performant, and aligned with enterprise data strategy. Stay current with advancements in AWS technologies and data engineering trends and evaluate new tools and frameworks for potential adoption. Troubleshoot complex data issues and provide technical leadership in problem resolution.

Required Qualifications:

  • 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.

Preferred Qualifications:

  • AWS Solutions Architect or AWS Data Engineer certification. Experience with real-time streaming technologies. 
  • Knowledge of data governance, compliance, and security best practices. 
  • Familiarity with Lakehouse architecture and modern data platforms.

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