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Datastage Teradata Jobs (NOW HIRING)

Saransh Inc

GCP Data Engineer with Python

Dearborn, MI · On-site

$105K - $126K/yr

The role involves integrating data from RDBMS platforms such as DB2 and Teradata, and supporting ETL processes using tools like DataStage or Informatica. * The engineer will collaborate with existing ...

Stem Xpert

Data Architect

Tulsa, OK · On-site

$58.25 - $75/hr

... IBM DataStage, Oracle , Teradata and Cognos mandatory The successful candidate will join the data warehouse team responsible for leveraging technology to integrate data using the IBM DataStage ...

Integrated Resources INC

ETL developer

Ashburn, VA

$52.25 - $68.25/hr

... Teradata Minimum 5 years of experience working with UNIX Shell scripting ETL tools such as Datastage or Informatica experience is a plus Additional Information Regards Nitish Chauhan Technical ...

Collabera

GIS - Analyst

Mossville, IL · On-site

... such as Datastage, Informatica, Teradata utilities * Experience in working with Linux platform * Installing tools and job scheduling or data workflow tools like Crontab or Apache Airflow

Infojini Inc

Data Warehouse Programmer

Las Vegas, NV · On-site

... DataStage is required 2+ years work experience with architecting data warehouse solutions ... Teradata (including Teradata-specific training) and Teradata Utilities is strongly preferred ...

Infojini Inc

Sr. ETL Developer

Las Vegas, NV

... as IBM DataStage is required Experience with Unix Operating System is required Expert level ... Technical experience with Teradata (including Teradata-specific training) and Teradata Utilities is ...

BCforward

Senior Programmer Analyst

Las Vegas, NV · On-site

$67/hr

... DataStage is required 2+ years work experience with architecting data warehouse solutions ... Technical experience with Teradata (including Teradata-specific training) and Teradata Utilities is ...

Business Enterprize Inc.

Senior Data Analyst

Sacramento, CA · Hybrid

$93K - $118K/yr

... and load (ETL) tool, such as DataStage, Informatica. * 5 to 10 years of experience with Teradata SQL Studio. * 5 to 10 years of experience as a Data Base Administrator (DBA) or similar ...

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Datastage Teradata information

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How much do datastage teradata jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for datastage teradata 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 are the key skills and qualifications needed to thrive as a Datastage Teradata Developer, and why are they important?

To thrive as a Datastage Teradata Developer, you need expertise in ETL processes, strong SQL skills, and experience with both IBM Datastage and Teradata platforms, typically supported by a degree in computer science or a related field. Familiarity with data warehousing tools, scripting languages, and certifications in Datastage or Teradata are highly valuable. Attention to detail, analytical thinking, and effective communication are essential soft skills for collaborating with stakeholders and troubleshooting data issues. These skills are crucial for ensuring efficient, accurate data integration and supporting business intelligence initiatives.

What are Datastage Teradata professionals?

Datastage Teradata professionals are IT specialists who work with IBM DataStage and Teradata databases to design, develop, and manage data integration and ETL (Extract, Transform, Load) processes. They are responsible for extracting data from various sources, transforming it according to business requirements, and loading it into Teradata data warehouses. Their skills are vital for organizations that need to process large volumes of data efficiently for analytics and reporting. These professionals often work closely with data architects, business analysts, and other data engineers to ensure data quality and optimal performance.

What is the difference between Datastage Teradata vs Data Warehouse Developer?

AspectDatastage TeradataData Warehouse Developer
Primary RoleDesigning, developing, and managing ETL processes using IBM DataStage and Teradata toolsDesigning, developing, and maintaining data warehouse solutions, including schema design and ETL processes
Required SkillsETL tools, Teradata SQL, data modeling, scriptingData modeling, SQL, ETL development, data warehousing concepts
Work EnvironmentData integration teams, BI projects, large enterprise data centersData architecture teams, analytics departments, enterprise IT

While both roles involve ETL and data management, Datastage Teradata specialists focus on implementing ETL processes with specific tools, whereas Data Warehouse Developers design and build entire data warehouse solutions. The roles often overlap but differ in scope and focus.

How do Datastage and Teradata professionals typically collaborate with data engineering and analytics teams during large-scale ETL projects?

Datastage and Teradata professionals often work closely with data engineering and analytics teams to ensure that data extraction, transformation, and loading (ETL) processes are robust, efficient, and aligned with business requirements. They regularly coordinate with business analysts to understand data mapping and reporting needs, and with database administrators to optimize performance and manage data storage. Effective communication and documentation are essential, as these professionals frequently participate in troubleshooting sessions and design reviews to resolve data quality or integration issues during large-scale projects.
More about Datastage Teradata jobs
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Datastage Teradata jobs near you
Infographic showing various Datastage Teradata job openings in the United States as of June 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 75% Physical, 7% Hybrid, and 18% Remote job distribution, with an average salary of $119,893 per year, or $57.6 per hour.

GCP Data Engineer with Python

Saransh Inc

Dearborn, MI • On-site

$105K - $126K/yr

Contractor

Posted 17 days ago

Job description

Role: GCP Data Engineer with Python
Location: Dearborn, MI (4 days a week onsite)
Job Type: Contract
 
Experience: Overall 8 to 12 years

Job Summary:
  • The Data Engineer will be responsible for supporting the Credit Global Securitization (GS) team’s upskilling initiative by contributing to data engineering efforts across cloud and traditional platforms.
  • This role is intended to accelerate development and delivery.
  • The engineer will work closely with cross-functional teams to build, optimize, and maintain data pipelines and workflows using GCP, Python, and ETL tools.

Required Technical Skills:
  • Minimum 3+ years of hands-on experience with Google Cloud Platform (GCP), specifically using Astronomer/Composer for orchestration.
  • Strong proficiency in Python for data engineering and automation.
  • Experience with RDBMS technologies such as DB2 and Teradata.
  • Exposure to Big Data ecosystems and distributed data processing.

Nice to have Technical Skills:
  • Prior experience with ETL tools like DataStage or Informatica.

Responsibilities:
  • The Data Engineer will play a key role in the developing and maintaining scalable data pipelines and workflows.
  • The engineer will work with GCP tools like Astronomer/Composer and leverage Python for automation and transformation tasks.
  • The role involves integrating data from RDBMS platforms such as DB2 and Teradata, and supporting ETL processes using tools like DataStage or Informatica.
  • The engineer will collaborate with existing team members, including Software Analysts and Scrum Masters, and will be expected to contribute to knowledge sharing and process improvement.
     
Specifically:
  • Develop and implement solutions using GCP, Python, Big Data technologies to enhance data analysis capabilities.
  • Collaborate with cross-functional teams to design and optimize data models in Teradata and DB2 environments.
  • Utilize Python for scripting and automation to streamline geospatial data processing tasks.
  • Integrate and manage data workflows using Cloud Composer to ensure efficient data pipeline operations.
  • Leverage GCP Cloud to deploy scalable applications and services.