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Datastage On Aws Jobs (NOW HIRING)

IT America Inc

DataStage Developer

Atlanta, GA · On-site

Strong hands-on expertise with IBM DataStage * Advanced SQL skills, including query optimization ... Cloud platform experience (AWS, Azure, or GCP) * Familiarity with orchestration tools like Apache ...

TheStaffed

Sr DataStage Engineer

Mclean, VA · On-site

Our client is seeking a Senior DataStage Engineer to design, develop, and maintain enterprise ETL ... Hands-on experience with Snowflake and AWS * Proven track record in data migration projects and ...

Omm IT Solutions

Sr DataStage Engineer

Mclean, VA

... AWS, while leveraging AI\-assisted tools to accelerate large\-scale modernization initiatives. \n ... Hands\-on experience with shell scripting (bash\/ksh) for job automation and operational support ...

TMS

Data Engineer - Netezza & DataStage

Edison, NJ · On-site

... on experience with IBM DataStage * Strong experience working with IBM Netezza * Advanced SQL skills Preferred * Experience with Snowflake and/or Databricks * Exposure to cloud platforms (AWS / Azure ...

Sonsoft Inc

Big Data/ ETL

South Brunswick, NJ · On-site

Awareness and hands on experience on AWS(Amazon web service) components, Datastage, DB2 * Good communications kills * Analytical skills * Experience and desire to work in a Global delivery ...

Nastech Global

Developer

Detroit, MI · On-site

Detroit, MI/Charlotte, NC/Remote Job Type: Full time Datastage Platform Engineer Must Have ... AWS, Azure, or Google Cloud. - Proven experience in platform and infrastructure engineering ...

Genesis10

Senior ETL Developer - Onsite

Columbus, OH · On-site

$60 - $66/hr

Solid experience with Python/PySpark, DataStage ETL and SQL development * Proven experience in cloud infrastructure projects with hands on migration expertise on public clouds such as AWS and Azure ...

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How much do datastage on aws jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for datastage on aws in the United States is $57.64, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $62.02 per hour, depending on experience, location, and employer.

What is Datastage on AWS?

Datastage on AWS refers to using IBM DataStage, a powerful data integration tool, within the Amazon Web Services (AWS) cloud environment. This setup allows organizations to design, develop, and run data integration jobs that extract, transform, and load (ETL) data from various sources into data lakes or warehouses hosted on AWS. By leveraging AWS, users benefit from scalable infrastructure, improved performance, and integration with other cloud-native services, while still utilizing DataStage's robust ETL capabilities. This approach supports both hybrid and fully cloud-based data architectures, enhancing flexibility and scalability for enterprise data workflows.

What are some common challenges faced when migrating IBM DataStage workloads to AWS, and how can they be addressed?

Migrating IBM DataStage workloads to AWS often involves challenges such as ensuring data security, managing compatibility between on-premises and cloud architectures, and optimizing performance for cloud resources. Addressing these challenges requires careful planning, such as leveraging AWS-native services for storage and monitoring, validating data integrity throughout the migration, and tuning DataStage jobs for cloud scalability. Collaborating closely with cloud architects and DevOps teams can help ensure a smooth transition and ongoing operational efficiency.

What is the difference between Datastage On Aws vs Data Integration Developer?

AspectDatastage On AwsData Integration Developer
CredentialsIBM Certified DataStage Developer, AWS certificationsRelevant certifications like CDIP, AWS certifications
Work EnvironmentCloud-based, AWS cloud infrastructure, enterprise data environmentsOn-premises or cloud, various data tools and platforms
Industry UsageData warehousing, ETL processes in large enterprisesData integration, ETL, data pipeline development across industries

Datastage On Aws professionals focus on designing and managing ETL workflows using IBM DataStage within AWS cloud environments, often requiring specific certifications. Data Integration Developers have a broader role in creating data pipelines across various platforms, including cloud and on-premises, with a wider range of tools. Both roles involve data transformation and integration but differ in platform specialization and scope.

What are the key skills and qualifications needed to thrive as a Datastage on AWS specialist, and why are they important?

To succeed as a Datastage on AWS specialist, you need expertise in ETL processes, IBM DataStage development, and a strong understanding of cloud computing—especially AWS services like EC2, S3, and Redshift. Familiarity with tools such as AWS Glue, Lambda, and DataStage integration with cloud environments, as well as relevant certifications (like AWS Certified Solutions Architect or IBM Certified Developer), is often required. Strong problem-solving skills, collaboration, and the ability to communicate complex technical concepts are valuable soft skills in this role. These competencies ensure efficient migration, integration, and management of data workflows on cloud platforms, enabling robust and scalable data solutions.
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Datastage On Aws jobs near you
Infographic showing various Datastage On Aws job openings in the United States as of July 2026, with employment types broken down into 9% Locum Tenens, 86% Full Time, 1% Part Time, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $119,893 per year, or $57.6 per hour.

Senior ETL Lead DataStage CP4D | AWS Glue | Snowflake

IntraEdge

Detroit, MI • On-site

Full-time

Re-posted 22 days ago

Job description

About the Role

We are seeking a highly experienced ETL Lead to design, lead, and optimize enterprise data integration workflows using IBM DataStage on Cloud Pak for Data (CP4D), AWS Glue & Lambda, and Snowflake. The ideal candidate will drive modern data transformation strategies for large-scale data ingestion pipelines supporting analytics, governance, and AI/ML workloads.




Key Responsibilities

  • Lead the end-to-end design and implementation of ETL workflows for structured and semi-structured data from various sources (SFTP, DB2, Oracle, APIs).
  • Architect and maintain data ingestion and transformation pipelines using IBM DataStage (CP4D) and AWS Glue/Lambda functions.
  • Optimize data load performance and manage large data volumes with effective partitioning, incremental loads, and error handling.
  • Collaborate with cloud engineers and data modelers to ensure data is curated for consumption in Snowflake (Silver/Gold/Platinum layers).
  • Ensure data lineage, metadata management, and data quality in compliance with enterprise data governance standards.
  • Partner with governance teams to ensure integration with Collibra, or other metadata and privacy tools.
  • Support CI/CD integration, parameterization, and version control of ETL code via Git and DevOps pipelines.
  • Lead and mentor a team of onshore/offshore ETL developers; establish best practices and code review processes.
  • Troubleshoot production ETL issues and participate in on-call rotations as needed.

 

 

Required Qualifications

  • 8+ years of enterprise data integration experience with at least 3+ years as a technical lead.
  • Strong expertise in IBM DataStage, including modern deployments on Cloud Pak for Data (CP4D).
  • Solid experience with AWS Glue (PySpark) and AWS Lambda for scalable, serverless data transformation.
  • Proven knowledge of Snowflake data warehousing, including external stages, streams, tasks, and performance tuning.
  • Experience with complex ETL orchestration involving parallel processing, dynamic parameterization, and error handling.
  • Strong SQL, Python (preferred for Glue), and performance tuning skills.
  • Understanding of data lakehouse architectures, S3, and ingestion patterns (batch/real-time).
  • Familiarity with data governance and lineage tools (e.g., Collibra, BigID, Manta).
  • Knowledge of CI/CD, Git, Jenkins, and code promotion strategies.
  • Strong verbal and written communication skills; experience working in agile/scrum delivery model.

Preferred Qualifications

  • IBM DataStage CP4D certification
  • AWS Certified Data Analytics or Solutions Architect - Associate
  • Snowflake SnowPro certification
  • Experience working in regulated industries (e.g., financial services, utilities, healthcare)
Education:Employment Type: FULL_TIME
IntraEdge logo

About IntraEdge

Sourced by ZipRecruiter

At heart, we are a technology, products and services organization In our soul, it’s the people who make us what we are — the professionals we train and connect to next-level opportunities and the experts who create innovative solutions and value for our national and international partners. It’s true that innovative technology can provide a major boost to your business, but you also need the right talent pushing it forward. This critical combination is what we offer all of our partners: cutting edge tech solutions and the expertise to bring it to life.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chandler, AZ, US

Year founded

2002

Social media

Instagram

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