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Amazon Data Engineer Jobs in New York (NOW HIRING)

Talentrupt

Senior Data Engineer

Newark, NJ · On-site

$110K - $150K/yr

Senior Data Engineer Duration: 12+ months Contract Location: Newark, NJ (Hybrid- 3 days onsite ... Implement high velocity streaming solutions and orchestration using Amazon Kinesis, AWS Managed ...

Amazon

Data Engineer, PV Prime Video TV - Tech

New York, NY · On-site

$125K - $150K/yr

Do you want to define the next generation of how and what Amazon customers are watching? Prime ... As a Data Engineer, you will work in one of the world's largest and most complex data warehouse ...

Zoetis, Inc.

Data Engineer

Parsippany, NJ · On-site

$105K - $151K/yr

Amazon S3, Redshift, Azure Storage) and distributed file systems (HDFS) * Strong proficiency in SQL ... programming language (Python, Scala, Java). * Experience in working with modern ETL tools and data ...

Abaxis

Data Engineer

Parsippany, NJ · Remote

$105K - $151K/yr

Amazon S3, Redshift, Azure Storage) and distributed file systems (HDFS) * Strong proficiency in SQL ... programming language (Python, Scala, Java). * Experience in working with modern ETL tools and data ...

Capgemini

Senior Data Engineer

New York, NY · On-site

$118K/yr

Work with AWS Aurora PostgreSQL, Amazon Redshift, PostgreSQL, and Oracle databases * Troubleshoot ... Data Engineering * SQL * ETL * ELT * Data Pipelines * Data Modeling * Data Management * AWS

Pierrefabre

Data Engineer

Secaucus, NJ · On-site

$90K - $115K/yr

At Pierre Fabre, we believe data is a strategic asset, and we're seeking a Data Engineer to help ... Hands-on experience with cloud platforms (Snowflake, Denodo, Amazon Marketing Cloud, GCP)

United Airlines

Data Analyst

Manhattan, NY · On-site

$118K/yr

Participate in testing, validation, production support, and release activities Required Qualifications * * 6-10 years of Data Analysis, Data Integration, Data Engineering, or related experience

Tiger Analytics Inc.

Senior Data Engineer

Jersey City, NJ · On-site

$110K - $150K/yr

We are seeking an experienced Data Engineer to join our data team. In this role, you will be ... Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc. * Implement data processing and ...

Tiger Analytics Inc.

Senior Data Engineer

Jersey City, NJ · On-site

$110K - $150K/yr

We are seeking an experienced Data Engineer to join our data team. In this role, you will be ... Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc. * Implement data processing and ...

Pwc

Data Engineer - Manager

Melville, NY · On-site

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Pwc

Data Engineer - Manager

Stamford, CT · On-site

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Pwc

Data Engineer - Manager

Florham Park, NJ

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Pwc

Data Engineer - Manager

New York, NY · On-site

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

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Showing results 41-60

All JobsAmazon Data Engineer JobsAmazon Data Engineer Jobs in New York

Amazon Data Engineer information

See New York salary details

$48.7K

$141.9K

$194.2K

How much do amazon data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for amazon data engineer in New York is $141,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,300.00 and $150,400.00 per year, depending on experience, location, and employer.

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

To thrive as an Amazon Data Engineer, you need strong proficiency in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically accompanied by a degree in computer science or a related field. Familiarity with AWS cloud services (like Redshift, S3, and Glue), big data tools, and relevant certifications such as AWS Certified Data Analytics are highly valued. Strong problem-solving skills, effective communication, and the ability to work collaboratively in cross-functional teams set standout candidates apart. These skills and qualities ensure data is accurately managed, integrated, and made accessible for analytics and business decisions in Amazon's complex environment.

What do Amazon data engineers do?

As an Amazon Data Engineer, you can expect to work on projects involving the design, development, and maintenance of large-scale data pipelines and data warehouses. Common challenges include optimizing data flows for efficiency, handling massive and complex datasets, and ensuring data quality and integrity across various sources. You'll frequently collaborate with data scientists, analysts, and other engineering teams to create scalable solutions that support business intelligence and machine learning initiatives. The fast-paced environment provides opportunities to solve unique technical problems and drive data-driven decision-making across Amazon’s diverse businesses.

What is an Amazon data engineer?

An Amazon Data Engineer is responsible for designing, building, and maintaining data infrastructure to support business intelligence and analytics. They work with large-scale datasets, optimize data pipelines, and ensure efficient data processing. Engineers collaborate with data scientists, analysts, and software teams to enable data-driven decision-making. Key skills include SQL, Python, ETL development, and experience with AWS services like Redshift, S3, and Glue.

What are the most commonly searched types of Amazon Data Engineer jobs in New York? The most popular types of Amazon Data Engineer jobs in New York are:
What are popular job titles related to Amazon Data Engineer jobs in New York? For Amazon Data Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Amazon Data Engineer jobs in New York look for? The top searched job categories for Amazon Data Engineer jobs in New York are:
What cities in New York are hiring for Amazon Data Engineer jobs? Cities in New York with the most Amazon Data Engineer job openings:
Amazon Data Engineer jobs near you
Infographic showing various Amazon Data Engineer job openings in New York as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 80% In-person, 10% Hybrid, and 10% Remote job distribution, with an average salary of $141,914 per year, or $68.2 per hour.

Senior Data Engineer

Talentrupt

Newark, NJ • On-site

$110K - $150K/yr

Other

Posted 26 days ago

Job description

Title: Senior Data Engineer

Duration: 12+ months Contract

Location: Newark, NJ (Hybrid- 3 days onsite)

 Qualifications:

  • Bachelor''s degree in Computer Science, Software Engineering, MIS or equivalent combination of education and experience
  • 8+ years of experience as Data Engineer on AWS Stack with experience on DevOps tool
  • AWS Solutions Architect or AWS Developer Certification required
  • Solid experience of AWS services such as CloudFormation, S3, Athena, Glue, Glue DataBrew, EMR/Spark, RDS, Redshift, DataSync, DMS, DynamoDB, Lambda, Step Functions, IAM, KMS, SM, EventBridge, EC2, SQS, SNS, LakeFormation, CloudWatch, Cloud Trail
  • Implement high velocity streaming solutions and orchestration using Amazon Kinesis, AWS Managed Airflow and AWS Managed Kafka (preferred)
  • Solid experience building solutions on AWS data lake/data warehouse
  • Analyze, design, development, and implementation of data ingestion pipeline in AWS
  • Knowledge implementing ETL/ELT for data solutions
  • End-to-end data solutions (ingest, storage, integration, processing, access) on AWS
  • Knowledge implementing RBAC strategy/solutions using AWS IAM and Redshift RBAC model
  • Build & implement CI/CD pipelines for EDP Platform using CloudFormation and Jenkins
  • Programming experience with Python, Shell scripting and SQL
  • Knowledge of analyzing data using SQL Stored procedures
  • Build automated data pipelines to ingest data from relational database systems, file systems, NAS shares to AWS relational databases such as Amazon RDS, Aurora, and Redshift
  • Build Automated data pipelines to ingest data from Rest APIs to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift.
  • Good Experience of DevOps practice
  • Experience with modern source code management and software repository systems (Bitbucket)
  • Experience with programming languages (Python)
  • Experience with scripting languages (Shell, Groovy)
  • Experience with API deployment for tooling integration
  • Experience using Jenkins, CloudBees (Pipeline as Code, Shared Libraries)
  • The ability to document exceptions/issues/action plans/meeting minutes/lessons learned accurately and in a timely fashion
  • Experience with administering DevOps tools in SaaS
  • Experience using DevOps Tools (SonarQube, Artifactory etc.)
  • Experience using build tools (Maven, MS Build and Gradle)
  • Experience using containers (Docker)
  • Experience using Atlassian suite (Jira, Confluence)
  • Experience of Infrastructure as Code using CloudFormation
  • Creating Jenkins CI pipelines to integrate Sonar/Security scans and test automation scripts
  • Part of DevOps QA and AWS team focusing on building CI/CD pipeline
  • Responsible for writing and maintaining Jenkins Pipelines

 Responsibilities:

  • Designing, building, and maintaining efficient, reusable, and reliable code
  • Ensure the best possible performance and quality of high scale data applications and services
  • Participate in system design discussions
  • Independently perform hands on development and unit testing of the applications
  • Collaborate with the development team and build individual components into enterprise data platform
  • Work in a team environment with product, 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
  • Project management: Agile developers take responsibility for estimating, planning, and managing all tasks and report on progress
  • Software quality: The Agile developer is also responsible for the quality of the software he/she produces. The team takes responsibility for the quality of the work they produce instead of turning over some code to a separate and independent group for testing
  • Teamwork: This includes collaboration with all other team members with the aim to take shared responsibility for the overall efforts
  • Understanding user needs: This is about interacting with users as necessary to clarify requirements

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