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Datastage On Aws Jobs (NOW HIRING)

E-Solutions, Inc.

Python ETL Data Tester

Tempe, AZ · On-site

Experience in ETL tools such as Informatica, Ab Initio, ODI, SSIS, DataStage, Azure Data Factory ... Experience validating cloud-based data platforms on AWS, Azure, Databricks, Snowflake, or Google ...

Genesis10

Senior ETL Developer - Onsite

Columbus, OH · On-site

$60 - $66/hr

... DataStage ETL and SQL development Proven experience in cloud infrastructure projects with hands on migration expertise on public clouds such as AWS and Azure, preferably Snowflake Knowledge of ...

Genesis10

Senior ETL Developer - Hybrid

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 ...

Blue Sentry Cloud

$133K - $170K/yr

Architect, deploy, and manage Kubernetes clusters on AWS and/or Azure * Design and implement CI/CD ... DataStage, ADF, Glue, Airflow, or similar) * Kubernetes certifications (CKA, CKAD, CKS) * Agile ...

Blue Sentry Cloud

$57 - $76.25/hr

Architect, deploy, and manage Kubernetes clusters on AWS and/or Azure * Design and implement CI/CD ... DataStage, ADF, Glue, Airflow, or similar) * Kubernetes certifications (CKA, CKAD, CKS) * Agile ...

BSC Analytics

$150K - $175K/yr

Architect, deploy, and manage Kubernetes clusters on AWS and/or Azure * Design and implement CI/CD ... DataStage, ADF, Glue, Airflow, or similar) * Kubernetes certifications (CKA, CKAD, CKS) * Agile ...

BSC Analytics

$150K - $175K/yr

Architect, deploy, and manage Kubernetes clusters on AWS and/or Azure * Design and implement CI/CD ... DataStage, ADF, Glue, Airflow, or similar) * Kubernetes certifications (CKA, CKAD, CKS) * Agile ...

Navtech, Inc.

Sr SAS Developer

Plano, TX · On-site

Preference for experience with Python, Java, DataStage & AWS. Your Impact: You will have significant impact on our team, and in our organization. You will primarily develop code for data centric ...

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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.

Principal Lead Data Engineer : Local to Detroit MI : (Snowflake, AWS services, Python, Control-M,IBM

K Anand Corporation

Detroit, MI • On-site

$104K - $125K/yr

Other

Posted 2 days ago

New

Job description

Position : Principal Lead Data Engineer (Snowflake, AWS services, Python, Control-M,IBM DataStage, SQL, CI/CD. Operation) : CTH/FTE : Visa Independent : Local to Detroit MI : Only USA

Location : Detroit MI (Onsite & Local Needed) Type of Job : CTH/FTE Experience : 15+ Years Required

Technical Skills Snowflake: Strong expertise in Snowflake architecture, SQL development, performance tuning, security/roles, data loading/unloading, and best practices. AWS: Hands-on experience with AWS data ecosystem (commonly S3, IAM, CloudWatch; plus services such as Glue, Lambda, EC2, Step Functions, EMR, or Kinesis as applicable). Python: Strong Python programming for data engineering (ETL/ELT frameworks, API ingestion, automation, unit testing, logging). Control-M: Experience designing and managing enterprise job scheduling, dependencies, calendars, SLAs, monitoring, and incident handling. IBM DataStage: Solid experience building and maintaining DataStage jobs, handling complex transformations, and supporting production workloads. SQL: Advanced SQL skills for transformations, optimization, and data validation across large datasets. CI/CD & Version Control: Experience with Git and CI/CD practices for data pipelines (tools may vary). Operational Excellence: Monitoring, alerting, and production support experience in a 24x7 or business-critical environment. Good to Have AI/ML exposure: Experience enabling AI/ML pipelines or feature datasets; familiarity with ML lifecycle concepts, feature engineering, or MLOps tools/processes. Experience with data governance/metadata tools and practices (catalog, lineage, data quality frameworks). Exposure to streaming or event-driven architectures. Required Soft Skills Strong experience working in Agile/Scrum teams and delivering within structured SDLC processes. Excellent communication skills (technical and non-technical) with the ability to explain complex data concepts clearly. Proven ability to coordinate across multiple teams (Data Engineering, Data Science, DevOps, Security, BI, and business stakeholders). Strong ownership mindset, problem-solving ability, and attention to detail. Qualifications (Typical)

Bachelor s degree in Computer Science, Engineering, or related field (or equivalent practical experience). 9+ years of data engineering experience, including enterprise-grade data platform delivery and production support.

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