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Datastage On Aws Jobs (NOW HIRING)

City of New York

Senior IT Architect

Brooklyn, NY · On-site

... on experience with cloud platforms such as Azure and/or AWS to support cloud adoption and ... DataStage installations, patching, load balancing, configuration and user management as well as ...

Navtech, Inc.

ETL Tester

Lake Saint Louis, MO · On-site

Experience in EDW and DataStage QA testing * Experience ETL tester with experiences planning ... Should have Experience with AWS Cloud * Experienced with coding any language Java, Python etc

1872 Consulting

Data Engineer

Chicago, IL

$118K - $141K/yr

Minimum 2+ years of hands-on professional development experienceStrong technical experience in ETL tools (Informatica, Talend, IBM DataStage, Snowflake, Azure Data Factory, AWS Glue, etc.), database ...

Ampcus Inc

Data Assurance & Validation Manager

Chantilly, VA · On-site

$118K - $142K/yr

... on experience with Oracle, SQL Server, and PostgreSQL databases. • Proficient in ETL tools such as Informatica, DataStage, Azure Data Factory, or AWS Glue. • Demonstrated understanding of Source ...

1872 Consulting

Data Engineer

Chicago, IL

$118K - $141K/yr

Minimum 2+ years of hands-on professional development experienceStrong technical experience in ETL tools (Informatica, Talend, IBM DataStage, Snowflake, Azure Data Factory, AWS Glue, etc.), database ...

Ampcus Inc

Lead Data Test Engineer

Chantilly, VA · On-site

$118K - $142K/yr

... on experience with Oracle, SQL Server, and PostgreSQL databases. • Proficient in ETL tools such as Informatica, DataStage, Azure Data Factory, or AWS Glue. • Demonstrated understanding of Source ...

w3r Consulting

Lead Business Systems Analyst

Columbus, OH · On-site

$102K - $133K/yr

... with Snowflake and AWS S3. * 5+ years experience data modeling activities in Erwin or other ... BSAs on a project team. * Key EDW technologies include Snowflake, DataStage, Python/PySpark ...

Collabera

GIS - Analyst

Mossville, IL · On-site

... on our resource satisfaction, so we make meeting your career needs a top priority. We provide a ... Python, object oriented programming experience desired Knowledge of AWS (Amazon Cloud) architecture ...

IVID TEK INC

$120 - $160/hr

Hands-on Spark experience (batch and streaming) * Strong SQL and data modeling skills * AWS ... Talend/DataStage exposure * Data lake experience (Iceberg/Parquet) * Frontend/API integration ...

Raas Infotek LLC

Senior ETL Developer

Dallas, TX · On-site

Strong hands-on experience with Informatica, SSIS, Talend, DataStage, or similar ETL tools ... Experience with AWS, Azure, or Google Cloud Platform data services. * Knowledge of Snowflake ...

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Datastage On Aws information

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How much do datastage on aws jobs pay per hour?

As of Aug 22, 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 the key skills and qualifications needed to thrive as a Datastage on AWS specialist?

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.

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.

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Datastage On Aws jobs near you
Infographic showing various Datastage On Aws job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 1% Part Time, and 7% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $119,893 per year, or $57.6 per hour.

Senior ETL Engineer

Accord Technologies Inc.

Charlotte, NC • On-site

Contractor

Re-posted 9 days ago

Job description

Job Title: Senior ETL Engineer
Location: Charlotte, NC (Onsite)
Duration: 12 + months
Employment Type: W2 contract
Job Description
We are seeking a highly skilled Senior ETL Engineer to join our dynamic Data Integration team in Charlotte, NC.
The ideal candidate will have extensive experience in designing, developing, and optimizing ETL (Extract, Transform, Load) processes to support enterprise data warehousing and analytics initiatives.
You will collaborate with cross-functional teams to ensure seamless data integration, improve data quality, and enhance business intelligence capabilities.Key Responsibilities

  • Design, develop, and maintain scalable ETL workflows using tools like Informatica PowerCenter, IBM DataStage, or Talend.

  • Optimize and tune SQL queries, stored procedures, and ETL jobs for performance and efficiency.

  • Work with large-scale data warehouses (e.g., Snowflake, Teradata, Oracle, SQL Server) and cloud platforms (e.g., AWS, Azure, GCP).

  • Implement data quality checks, error handling, and logging mechanisms.

  • Collaborate with data architects, business analysts, and BI teams to understand requirements and deliver solutions.

  • Automate ETL processes using scripting languages (Python, Shell, PowerShell).

  • Ensure compliance with data governance, security policies, and regulatory standards.

  • Mentor junior engineers and provide technical leadership in ETL best practices.

Required Qualifications

  • 5+ years of hands-on experience in ETL development and data integration.

  • Strong expertise in SQL, PL/SQL, or T-SQL with complex query optimization.

  • Proficiency in ETL tools (Informatica, DataStage, SSIS, Talend) and scheduling tools (Autosys, Control-M).

  • Experience with big data technologies (Hadoop, Spark, Kafka) is a plus.

  • Knowledge of cloud-based data solutions (AWS Glue, Azure Data Factory, Snowflake).

  • Familiarity with Agile/Scrum methodologies and CI/CD pipelines.

  • Strong problem-solving skills and ability to troubleshoot data pipeline issues.

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Qualifications

  • Experience in financial services or banking domains.

  • Certifications in ETL tools, cloud platforms, or data engineering.

  • Knowledge of real-time data processing and streaming ETL.